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SENIOR, DATA SCIENTIST - Conversational AI<h4>Position Summary...</h4><h4>What you'll do...</h4>About Team The Conversational AI team at Walmart builds and deploys core AI assistant experiences across Walmart. The team builds the core AI platform, which powers multiple conversational assistants for shopping, customer care and employee assistance across Walmart’s US and International markets. With tens of millions of active users across multiple countries these are among the largest vertical AI assistant experiences in the industry. The team is part of a larger “Emerging Tech” org, which is focussed on utilising emerging technologies like Conversational AI, Extended Reality, Spatial awareness, etc to reimagine and build intuitive and immersive experiences for our customers, sellers and associates.  We are looking for a Senior data scientist to lead the next evolution of the AI assistant platform by defining and building highly scalable Generative AI systems and infrastructure. This will be a hands-on data science leadership role which requires expertise at the intersection of machine learning, ASR, large-scale distributed systems, multi-modal LLMs, and more. Our AI assistants are rapidly incorporating LLMs, agent-based architecture with custom fine-tuned models, and multiple data modalities.    You can see more about the work our team does here in these articles: <a href="https://medium.com/walmartglobaltech/tagged/voice-assistant" rel="noopener noreferrer" target="_blank">https://medium.com/walmartglobaltech/tagged/voice-assistant</a> <a href="https://www.forbes.com/sites/bernardmarr/2024/02/15/the-amazing-ways-walmart-is-using-generative-ai" rel="noopener noreferrer" target="_blank">https://www.forbes.com/sites/bernardmarr/2024/02/15/the-amazing-ways-walmart-is-using-generative-ai</a>    What You Will Do  In this role, as a senior data scientist you will own the technical roadmap and architecture for multiple initiatives within the Conversational AI platform. The responsibilities include: <ul><li>Partner with key business stakeholders and be a thought leader in the Conversational AI space for driving the development and planning of POCs and production AI solutions. </li></ul><ul><li>Translate business requirements into strategies, initiatives, and projects. Align these with business strategy and objectives. Drive the execution of the deliverables. </li></ul><ul><li>Design, build, test and deploy cutting edge AI solutions at scale, impacting millions of customers worldwide. </li></ul><ul><li>Lead multiple initiatives within the platform, with focus on efficiency, innovation, and leverage. </li></ul><ul><li>Collaborate with the applied scientists, ML engineers, software engineers and product managers to develop next generation of AI assistant experiences. </li></ul><ul><li>Be up-to date on industry trends in the latest Generative AI, Speech/Video processing and AI assistant architecture patterns (e.g. agent chaining, COT, RAG, LLM guardrails etc) </li></ul><ul><li>Provide technical leadership, guidance and mentorship to highly skilled and motivated data scientists in the team. </li></ul><ul><li>Lead innovation and efficiency through the complete problem-solving cycle, from approach to methods to development and results. </li></ul><ul><li>Partner and engage with associates in other regions for delivering the best services to customers around the globe. </li></ul><ul><li>Proactively participate in the external community to strengthen Walmart's brand and gain insights into industry practices.  </li></ul><ul><li>Drive innovation in the charter and publish research in Rank A+ AI conferences like ICML, AAAI, NIPS, ACL, etc. </li></ul>  What You Will Bring <ul><li>Master's with 6+ years or Ph.D. with 4+ years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or related area. </li></ul><ul><li>Strong track record in a data science tech lead role (4+ years), with deployment of large-scale AI services.  </li></ul><ul><li>Extensive experience in the design, development, and delivery of AI products with a large customer base, preferably in conversational AI, speech, vision or machine learning based systems. </li></ul><ul><li>Strong experience in machine learning: Gen AI, NLP, Speech processing, Image processing, Classification models, regression models, Forecasting, Unsupervised models, Optimization, Graph ML, Causal inference, Causal ML, Statistical Learning, and experimentation. </li></ul><ul><li>Extensive experience building and deploying GenAI/Deep learning models for real-time inferencing/streaming applications. </li></ul><ul><li>Deep and demonstrated personal interest in generative AI space including awareness of latest architectural advancements in building generative AI applications. </li></ul><ul><li>Excellent decision-making skills with the ability to balance conflicting interests in a complex and fast-paced environment. </li></ul><ul><li>Deep experience in simultaneously leading multiple data science initiatives end to end – from translating business needs to analytical asks, leading the process of building solutions and the eventual act of deployment and maintenance. </li></ul><ul><li>Thorough understanding of distributed technologies, public cloud technologies, scalable platforms, ML- platforms and Operational Excellence. </li></ul><ul><li>Experience working with geographically distributed teams. </li></ul><ul><li>Business acumen; combining technical vision with business insights. </li></ul><ul><li>Research acumen; with papers published in top tier AI conferences like AAAI, NIPS, ICML, KDD, etc. </li></ul><ul><li>Strong experience with big data platforms – Hadoop (Hive, Map Reduce, HQL, Scala). </li></ul><ul><li>Strong experience in Python and Java. </li></ul> About Walmart Global Tech  Imagine working in an environment where one line of code can make life easier for hundreds of millions of people.  That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.   Flexible, hybrid work  We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives.   Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.   Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.  <h4>Minimum Qualifications...</h4>Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.<h4>Preferred Qualifications...</h4>Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. <h4>Primary Location...</h4>BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India<h4>Experience Level</h4>Senior Level

Walmart India Pvt Ltd

Data Scientist

Staff Software Engineer, Machine Learning<h4>Company Description</h4>LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.<h4>Job Description</h4>We are looking for an Staff Machine Learning Engineer to play a pivotal role as a technical leader within the LSS AI team. This role goes beyond building models- you will set the technical direction, own the AI roadmap, and lead initiatives that push the boundaries of what's possible in enterprise AI. You will combine deep research expertise with the ability to build production-grade ML systems at scale, partnering across engineering, product, and research to deliver transformative AI solutions.At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.Responsibilities<ul><li>Lead the design, development, and deployment of state-of-the-art ML systems across search, recommendations, generative AI, reinforcement learning, and LLMs for Sales Navigator.</li><li>Define and drive the technical roadmap and architecture for end-to-end AI systems within LSS, ensuring scalability, reliability, and innovation.</li><li>Research, fine-tune, and adapt large language models (LLMs) and build agentic AI systems that enable reasoning, planning, and decision-making for sales professionals.</li><li>Partner with product, design, and other engineering teams to align AI solutions with business strategy and maximize impact.</li><li>Drive cross-functional collaborations with horizontal AI and platform teams to leverage foundational tools and scale adoption of innovations across LinkedIn.</li><li>Mentor and guide engineers, fostering a culture of craftsmanship, innovation, and technical excellence.</li><li>Represent LinkedIn in external venues (papers, conferences, workshops) by showcasing advances in applied AI research and engineering.</li></ul><h4>Qualifications</h4>Basic Qualifications<ul><li>MS/PhD degree in Computer Science or related technical discipline, or equivalent practical experience.</li><li>8+ years of experience in machine learning, artificial intelligence, or related fields.</li><li>5+ years in an architect or technical leadership role driving large-scale AI initiatives.</li><li>Hands-on experience with end-to-end ML lifecycle: data pipelines, training, deployment, monitoring, and optimization.</li><li>Expertise in at least one of: LLMs, generative AI, search/recommendations, reinforcement learning, or large-scale deep learning.</li></ul>Preferred Qualifications<ul><li>10+ years of experience building and scaling machine learning systems in production.</li><li>Proven experience in pre-training and fine-tuning LLMs, including domain-specific adaptations.</li><li>Strong software engineering skills (Python, Java, C++, or similar), with the ability to design robust, scalable systems.</li><li>Track record of influencing product and technical strategy through AI/ML innovation.</li><li>Publications, patents, or open-source contributions in machine learning, NLP, or related areas.</li></ul>Suggested Skills<ul><li>Machine Learning</li><li>Large Language Models</li><li>Generative AI</li><li>Search &amp; Recommendations</li><li>Reinforcement Learning</li><li>Technical Leadership</li><li>Cross-Functional Collaboration</li></ul>You Will Benefit from Our CultureWe strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.<h4>Additional Information</h4>India Disability Policy LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdfGlobal Data Privacy Notice for Job Candidates ​Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.<h4>Experience Level</h4>Senior Level

Linkedin Technology Information Pvt Ltd

Data Annotation Engineer

Manager, Data Integrity and Policy<h4>Company Description</h4>Our MissionAt Palo Alto Networks® everything starts and ends with our mission:Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.Who We AreWe take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included.As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few!At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision.<h4>Job Description</h4>Your CareerPalo Alto Networks® is the fastest-growing security company in history. If you are a motivated, intelligent, creative, and hardworking individual, then this is the place for you! One of the keys to our success is our relentless focus on leveraging data to drive insights and decision making. This includes identifying and building process improvements and scalability to our current systems. The Project Manager, Data Integrity and Policy is the front line in ensuring that these goals come to fruition. This position will have a high degree of interaction with the Analytics, Business Operations, and IT functions across Palo Alto Networks. This role will be based in our Bangalore office in India. Your Impact<ul><li>Identify, design, and advocate for opportunities for optimization, scalability, and/or automation</li><li>Manage and communicate optimization projects end to end</li><li>Maintain steady progress on open projects</li><li>Provide effective and frequent communication with cross functional teams and stakeholders of project progress</li><li>Consult with downstream cross functional teams for impact analysis of proposed projects</li><li>Manage complex, urgent, high visibility, or intricate issues and escalations</li><li>Design, build, and analyze reporting and data visualizations for monitoring data accuracy and integrity</li><li>Evaluate mass data analysis and updates of account information to increase data accuracy</li><li>Enforce data standards, policies, and processes</li><li>Execute regular and periodic data maintenance and validation activities</li></ul><h4>Qualifications</h4>Your Experience <ul><li>Ability to identify opportunities for optimization and process improvement</li><li>Ability to communicate, advocate for, and lead optimization projects</li><li>Ability to work cross functionally, especially with Sales Operations and IT</li><li>Ability to pick up new tools, platforms, and business processes and policies</li><li>Interest in the concerns and topics related to data maintenance and governance</li><li>Can execute tasks with high attention to detail and a commitment to accuracy</li><li>Organized, proactive individual that can operate independently in solving complex problems with little guidance</li><li>Strong interpersonal skills for internal collaboration</li><li>Skillfully manage requestor escalations through appropriate channels</li><li>Experience with SFDC is required</li><li>Experience working with Google Suite or similar platforms</li><li>Comfortable working in a fast-paced, dynamic work environment</li><li>Min 10+ years of experience of relevant exp</li></ul><h4>Additional Information</h4>The TeamOur  Strategy &amp; Operations team at Palo Alto Networks works on a set of strategic initiatives to drive process improvement projects to deliver improved efficiency and scale through simplification, automation and innovation across Sales Operations tools and processes.You will be part of a growing, passionate, and dynamic team with an opportunity to work on challenging and exciting projects – centered on what we believe is one of the most significant mission statements in the world.Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at  <a href="mailto:accommodations@paloaltonetworks.com">accommodations@paloaltonetworks.com</a>.Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.All your information will be kept confidential according to EEO guidelines.<h4>Experience Level</h4>Mid Level

Palo Alto Networks

Claims Analyst

Senior Data ScientistThe CompanyPayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.  Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day.  We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.Job Summary:Decision scientists are highly motivated team players with strong analytical skills who specialize in creating, driving and executing initiatives to mitigate fraud on PayPal’s platform and improve the experience for PayPal’s hundreds of millions of customers, while guaranteeing compliance with regulations. Decision scientists in the Bot Mitigation Strategy team are problem solvers suited to approach varied challenges in complex big data environments. Our core goals are to enable seamless and delightful experiences to our customers, while preventing threat actors from abusing the varied experience PayPal offers. As part of our day-to-day job, we are collaborating with a wide variety of partners: product owners, AI/ML scientists, security experts, and engineers, to bring our analytical insights to life, impacting the experience and security of millions of customers around the globe.Job Description:Essential Responsibilities: <ul><li>Lead the development and implementation of advanced data science models.</li><li>Collaborate with stakeholders to understand requirements.</li><li>Drive best practices in data science.</li><li>Ensure data quality and integrity in all processes.</li><li>Mentor and guide junior data scientists.</li><li>Stay updated with the latest trends in data science.</li></ul>Expected Qualifications:<ul><li>Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.</li></ul>Preferred Qualification:Your way to impact : Decision scientists deeply understand PayPal’s business objectives, as their impact on PayPal’s top and bottom lines is immense. As a decision scientist, you will analyze large dataset and lead strategy development, with the aim of adapting PayPal’s advanced proprietary risk controls to the ever-evolving fraud landscape. Your day to day:  In your role as a Decision Scientist, you will: <ul><li>Track and measure performance against KPIs and goals to identify and mitigate fraud risk and enable growth </li><li>Develop and own data-driven risk decision strategies to support PayPal’s risk and business goals </li><li>Utilize bottom-up, story based, innovative techniques to apply analytical know how onto PayPal’s risk strategies </li><li>Plan, drive and execute projects from start to finish, with partners across the company, to develop cutting edge, scalable and safe solutions </li><li>Work with product and platform teams to develop cutting edge, scalable and safe products, to enhance the experience for our global customers </li><li>Grow ongoing communication with partners across the company and share updates with senior leaders effectively and while translating complex problems into simpler terms </li><li>Plan and measure experiments to analyse incremental value of new intelligence feeds, from internal teams or vendors</li></ul>What do you need to bring -  <ul><li>Bachelor’s Degree (or above) in one of the following: economics, finance, engineering, exact sciences, etc. </li><li>Hands-on experience in relevant positions, e.g.: decision scientist, data analyst, data scientist background in identifying trends and patterns / risk management / law enforcement or military intelligence units </li><li>Technical orientation; experience in SQL / Python / other programming language</li><li>Independent, self-driven, with a strong sense of accountability.</li><li>Excellent verbal and written communication skills </li><li>Proven analytical and problem solving skills, business mindset </li><li>Quick-thinker, fast learner, self-starter, inquisitive, forward thinking </li></ul>Great advantages:<ul><li>Experience for fraud/risk/intelligence</li><li>Experience with automation tools/scripting</li><li>Experience with internet protocols (HTTP, IP, TLS)</li></ul>Subsidiary:PayPalTravel Percent:0PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit <a href="https://careers.pypl.com/contact-us" rel="noopener noreferrer" target="_blank">https://careers.pypl.com/contact-us</a>.For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit <a href="https://www.paypalbenefits.com/" rel="noopener noreferrer" target="_blank">https://www.paypalbenefits.com</a>.Who We Are:<a href="https://about.pypl.com/who-we-are/default.aspx" rel="noopener noreferrer" target="_blank">Click Here</a> to learn more about our culture and community.Commitment to Diversity and Inclusion  PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law.  In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities.  If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at <a href="mailto:paypalglobaltalentacquisition@paypal.com" rel="noopener noreferrer" target="_blank">paypalglobaltalentacquisition@paypal.com</a>.  Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.Any general requests for consideration of your skills, please <a href="https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpaypal.eightfold.ai%2Fcareers%2Fjoin%3Fdomain%3Dpaypal.com&amp;data=05%7C01%7Chmouchel%40paypal.com%7C896c661e48224f2f6c0608db51a99675%7Cfb00791460204374977e21bac5f3f4c8%7C0%7C0%7C638193561037230485%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=iYNNAXZqfoYTLGNP79IEWsPoYxBR8lE1%2BqNN6c2Kmnk%3D&amp;reserved=0" rel="noopener noreferrer" target="_blank">Join our Talent Community</a>. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.<h4>Experience Level</h4>Senior Level

Paypal India Pvt Ltd

Associate DirectorKPMG Delivery Network (KDN) is seeking an experienced Data Scientist with a strong background in Generative AI, Machine Learning (ML), Natural Language Processing (NLP), and other AI technologies to join our dynamic KDN AI Foundry team. As a Data Scientist, you will play a crucial role in developing advanced AI models and solutions that drive innovation and provide actionable insights for KPMG’s global network. This role requires a deep understanding of AI methodologies, a strong ability to work with large datasets, and the skills to translate complex business problems into AI-driven solutions.Key responsibilities include:AI Model Development:<ul><li>Design, develop, and implement machine learning models and algorithms that address specific business challenges, leveraging Generative AI, NLP, and other AI technologies.</li><li>Develop and fine-tune advanced AI models, including deep learning models, to improve performance and accuracy across various use cases.</li><li>Experiment with and apply state-of-the-art techniques in Generative AI (e.g., GPT, GANs) to create innovative solutions for complex problems.</li></ul>NLP and Text Analytics:<ul><li>Develop NLP models for tasks such as sentiment analysis, entity recognition, text summarization, and language translation.</li><li>Work on text processing pipelines, including tokenization, stemming, lemmatization, and vectorization techniques.</li><li>Implement NLP solutions using frameworks such as SpaCy, BERT, GPT, and other transformer models.</li></ul>Data Analysis and Feature Engineering:<ul><li>Conduct exploratory data analysis (EDA) to understand data patterns and relationships.</li><li>Engineer and select features that improve the performance of AI models, using domain knowledge and statistical techniques.</li><li>Handle large datasets, ensuring data quality, consistency, and completeness for model training and evaluation.</li></ul>Collaboration and Cross-Functional Work:<ul><li>Collaborate with AI engineers, data engineers, and product managers to translate business requirements into technical solutions.</li><li>Work closely with stakeholders across KPMG member firms to understand their needs and ensure the AI solutions meet business objectives.</li><li>Participate in code reviews, share best practices, and mentor junior data scientists to foster a collaborative and high-performance environment.</li></ul>Model Deployment and Optimization:<ul><li>Deploy AI models in production environments, ensuring they are scalable, reliable, and maintainable.</li><li>Continuously monitor model performance, retraining and updating models as necessary to maintain accuracy and relevance.</li><li>Optimize models for performance, speed, and resource efficiency, particularly when working with cloud platforms such as Azure.</li></ul>Research and Innovation:<ul><li>Stay up-to-date with the latest advancements in AI, ML, NLP, and related fields, applying new methodologies to enhance existing models.</li><li>Conduct research to identify new AI use cases and opportunities for innovation within KDN AI Foundry.</li><li>Publish findings, contribute to technical documentation, and present insights to stakeholders and at industry conferences.</li></ul>Data Governance and Security:<ul><li>Ensure all AI models and data processing activities comply with KPMG’s data governance policies and industry regulations.</li><li>Implement best practices for data privacy, security, and ethical AI, particularly when handling sensitive and confidential data.</li></ul>Educational qualifications<ul><li>Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.</li><li>Advanced certifications in AI/ML, Data Science, or NLP are advantageous.</li></ul>Work experience<ul><li>10+ years of experience in data science, with a focus on AI, ML, and NLP technologies.</li><li>Proven track record of developing and deploying AI/ML models in production environments.</li><li>Hands-on experience with AI frameworks and libraries such as TensorFlow, PyTorch, Keras, and transformer models like BERT and GPT.</li><li>Experience working with large datasets, data preprocessing, and feature engineering.</li></ul>Skills<ul><li>Strong proficiency in programming languages such as Python, R, or Scala, with a focus on AI/ML libraries.</li><li>Deep understanding of machine learning algorithms, statistical methods, and NLP techniques.</li><li>Familiarity with cloud platforms (e.g., Azure, AWS) and big data technologies (e.g., Hadoop, Spark).</li><li>Excellent problem-solving skills and the ability to work independently and as part of a team.</li><li>Strong communication skills, with the ability to present complex technical concepts to non-technical stakeholders.</li></ul><h4>Experience Level</h4>Mid Level

Kpmg India Services Llp

Content Analyst - Arabic LanguageProud to share LSEG in the India is Great Place to Work certified (Jun ’25 – Jun ’26).Learn more about life and purpose of our company directly from India colleagues’ video: <a href="https://www.lseg.com/en/careers/where-we-work/bengaluru-india" rel="noopener noreferrer" target="_blank">Bengaluru, India | Where We Work | LSEG</a>Entity Content maintains a central database that connects and unlocks the true value of our content across our products and internal services. We are the starting point for all organization information. The data we provide helps our customers run their business successfully and in  accordance  with  the  law  and regulations of the markets they operate in. We provide Entity data  and  Qualified  financial  content  as services to the Industry.  Roles &amp; Responsibilities <ul><li>Process and maintain data accurately and in a timely manner onto databases </li></ul><ul><li>Ensure data accuracy, timeliness and completeness are maintained as per company standards </li></ul><ul><li>Proficiency in speaking, writing and translating Japanese/Korean/German/French/Chinese/Arabic/Russian language is required and is responsible to cover the relevant markets. Graduation or post graduation or an equivalent degree in Japanese/Korean/German/French/Chinese/Arabic/Russian language is a must. </li></ul><ul><li>Developing expertise in database and financial knowledge through continuous learning and development. Build up knowledge of financial regulations and market practices/conventions in relevant markets. </li></ul><ul><li>Widen usage of available tools/support to best of advantage to maintain/improve content quality during daily operations. </li></ul><ul><li>Adhere to dynamic process/Mow changes, data operations standards and current data policies &amp; procedures. </li></ul><ul><li>Responsible for delivering high productivity and quality data as per expected performance standards. </li></ul><ul><li>Proactively identify, call out, and resolve data problems. </li></ul><ul><li>Communicate &amp; liaise with internal and external departments for resolution of data queries as per established process. </li></ul><ul><li>Test new database/application releases where appropriate, providing constructive user feedback </li></ul><ul><li>In depth Analysis to be done on queries, identify root cause and drive action plans to improve the Quality thereby improve the overall customer experience </li></ul><ul><li>Ensure awareness of customer views on content &amp; recommend improvements/raise problems as needed. </li></ul><ul><li>Ensure that support has to be provided to team for smoothening of process </li></ul><ul><li>Ensure that the allotted tasks are being completed within the agreed SLA’s &amp; meet the service metrics of the team. </li></ul>Required Skills and Experience: <ul><li>Possesses excellent oral and written communication Japanese/Korean/German/French/Chinese/Arabic/Russian language skills. </li></ul><ul><li>Technical /Professional Skills at an Intermediate level in using Excel &amp; SQL </li></ul><ul><li>Should be a very quick learner and should display high level of agility. </li></ul><ul><li>Should have good communication skills – Written and Verbal. </li></ul><ul><li>Should be able to take Multiple tasks and flexible to extend their support as per business requirements. </li></ul><ul><li>Should be flexible enough to work in different shifts &amp; Hybrid model of 3 days in Office &amp; 2 days working from Home.  </li></ul><ul><li>Ability to operate with minimal guidance. </li></ul><ul><li>Coach and train analysts on data issues, databases &amp; products. </li></ul><ul><li>Proven analytic and problem-solving skills, innovation and taking initiative in continuous process improvements </li></ul>At LSEG, we believe that creating a diverse and inclusive organisation is fundamental to the way we deliver on our promise of creating essential partnerships and open opportunities. Our open culture is central to how we deliver our purpose – driving financial stability, empowering economies and enabling customers to create sustainable growth – in everything we do. Working with us means that you will be part of a dynamic organisation of 25,000 people across 70 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs. Please take a moment to read this <a href="https://www.lseg.com/sites/default/files/content/documents/Global%20Applicant%20Privacy%20Policy%20Feb%202021.pdf" rel="noopener noreferrer" target="_blank">privacy notice</a> carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, <a href="https://privacyportalde-cdn.onetrust.com/dsarwebform/5f7a2da0-bed0-45e8-ac2c-c1f297e2efdc/4ae30ef5-8107-4353-a0b5-1bf34dd647f6.html." rel="noopener noreferrer" target="_blank">your rights and how to contact us as a data subject</a> Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.Please take a moment to read this <a href="https://www.lseg.com/content/dam/lseg/en_us/documents/policies/lseg-global-candidate-privacy-notice.pdf" rel="noopener noreferrer" target="_blank">privacy notice</a> carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, <a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fprivacyportalde-cdn.onetrust.com%2Fdsarwebform%2F5f7a2da0-bed0-45e8-ac2c-c1f297e2efdc%2F4ae30ef5-8107-4353-a0b5-1bf34dd647f6.html.&amp;data=04%7C01%7Cbhavya.rajesh%40refinitiv.com%7C5998c534e4414d538b5008d96d2cce9f%7C71ad2f6261e244fc9e8586c2827f6de9%7C0%7C0%7C637660862381817886%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=tsXMrVLiU6mEDSYR3lPSoKobrJfrDcmk34w9RIHdUfI%3D&amp;reserved=0" rel="noopener noreferrer" target="_blank">your rights and how to contact us as a data subject</a>. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.<h4>Experience Level</h4>Senior Level

London Stock Exchange Group

Content Analyst

Associate Manager - Data ScientistEquifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds,  and make a meaningful impact, we want to hear from you.<h4>Synopsis of the role</h4>As a Data Scientist , you will have the opportunity to manipulate large data sets, integrate diverse data sources, data types and data structures into solutions under management guidance. You will build experience developing analytical approaches to meet business requirements, which involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development.What you’ll do<ul><li>Contribute to the design and execution of Custom Models, Validation of existing Scores and Insight generation.</li><li>Collaborate with stakeholders to interpret results, understand requirements and provide actionable insights.</li><li>Analyze complex data sets related to Consumer banking on Google Cloud Platform(GCP) using Python,PySprak and Bigquery.</li><li>Develop models using advanced Machine Learning algorithms, ensuring accuracy, stability and explainability in predicting key outcomes.</li><li>Demonstrated expertise in AI techniques (Machine learning, Deep learning) and their applications. Experience with ML libraries such as TensorFlow, Keras, PyTorch, Scikit-learn, or equivalent is recommended.</li><li>Develop and implement strategies to identify, quantify additional lift from various scores.</li></ul>What experience you need<ul><li>Understanding of key business and risk KPIs for retail banking products.</li><li>Overall 5-8 years of experience in data science is mandatory, 4+ years’ experience in handling BFSI analytics/developing Models/validation/ implementing models/.</li><li>Credit risk model development experience is a must.</li><li>Python and SQL coding experience is a must have technical skill.</li><li>Minimum of 1 year of experience in supervising projects and team members, demonstrating ability to successfully manage multiple projects and stakeholders simultaneously</li><li>Strong knowledge of Statistical methods, Machine learning techniques including Ensemble techniques, Deep learning.</li><li>Familiarity with regulatory requirements and guidelines related to model risk management is a plus.</li><li>Excellent communication skills to convey complex findings to non-technical stakeholders.</li></ul><h4>What could set you apart</h4><ul><li>Strong business acumen and strategic thinking</li><li>High energy levels and ability to work in a fast-paced environment</li><li>Strong interpersonal skills and ability to collaborate effectively with diverse teams across multiple geographies and levels of the organization</li><li>Opportunity to use cutting-edge statistical/modeling tools across literally hundreds of data assets.</li><li>Regulatory modeling development experience is good to have (ECL, Stress testing &amp; IFRS9).</li><li>First hand experience on cloud based platforms including GCP &amp; AWS</li><li>Master’s degree or higher in Mathematics, Computer Science, Engineering, Operations Research, Statistics or other related discipline a definite plus</li></ul>We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks.Are you ready to power your possible?  Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!Primary Location: IND-Bangalore-Equifax-AnalyticsFunction: Function - Data and AnalyticsSchedule: Full time<h4>Experience Level</h4>Mid Level

Equifax Credit Information Services Pvt Ltd

Principal consultant, RGM Data PlatformIt's fun to work in a company where people truly BELIEVE in what they are doing!We're committed to bringing passion and customer focus to the business.<h4>Job Description – Principal consultant, RGM Data Platform</h4>(RGM Practice – Fractal Analytics)<h4>Role Overview</h4>Fractal’s Revenue Growth Management (RGM) practice partners with leading global CPGs to unlock sustainable growth across pricing, promotions, assortment, and trade terms. We are seeking a Principal / Senior Manager – RGM Data Platforms with 12–15 years of experience in building scalable data foundations that power advanced analytics and AI solutions in the RGM domain. This role will sit within the RGM practice and will be responsible for designing and scaling fit-for-purpose RGM data ecosystems, enabling elasticity modeling, promotion ROI, price-pack architecture, and assortment analytics for global clients.<h4>Key Responsibilities</h4><h4>RGM Data Strategy &amp; Foundations</h4>• Define and implement data architecture for RGM use cases, integrating syndicated data, retailer data, POS, panel, ERP/finance, and trade terms. • Establish RGM data models and marts that harmonize multi-country, multi-retailer datasets for consistency and comparability. • Drive data quality, governance, and lineage frameworks to ensure reliability of RGM analytics and KPIs.<h4>Analytics &amp; Product Enablement</h4>• Partner with RGM data science teams to operationalize price elasticity, promotion effectiveness, assortment optimization, and pack-price architecture models. • Build reusable RGM data products such as KPI libraries, feature stores, and similarity engines for scalable client deployments. • Support the rollout of AI-enabled RGM solutions, including prescriptive recommendations and agentic AI-driven decision support.<h4>Leadership &amp; Collaboration</h4>• Act as the data platforms lead within the RGM practice, collaborating with product managers, client partners, and consultants. • Mentor and guide teams on best practices for RGM-specific data engineering. • Translate data design decisions into business outcomes that drive measurable client impact across pricing, promotion, and profitability.<h4>Qualifications &amp; Experience</h4>• 15-20 years of experience in data platforms and advanced analytics enablement, with at least 5 years in CPG/Retail or RGM-related domains. • Strong expertise in cloud-native ecosystems (Snowflake, Databricks, Azure, AWS, GCP) and modern data stack (SQL, PySpark, DBT, Airflow, Kafka). • Deep knowledge of RGM levers (pricing waterfalls, trade promotions, pack-price architecture, assortment, trade terms). • Demonstrated ability to design and scale global CPG data ecosystems for analytics and decision support. • Familiarity with model enablement workflows (elasticity, promotion ROI, mix optimization).• Knowledge of AI and GenAI adoption in RGM, including agentic AI for automated decision-making. • Experience integrating syndicated (Nielsen, IRI), retailer, and ERP/MDM datasets. • Strong executive communication and stakeholder management skills, with the ability to link data decisions to RGM growth outcomes.<h4>Why Join Us</h4>• Play a pivotal role in shaping Fractal’s RGM solutions, helping global CPG clients unlock growth and profitability. • Work at the intersection of RGM, advanced analytics, and AI, driving innovation in pricing, promotions, and assortment. • Join a high-impact practice where data platforms are the backbone of prescriptive RGM strategy.If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!Not the right fit?  Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!<h4>Experience Level</h4>Senior Level

Fractal Analytics Private Limited

Junior Consultant

Data Quality Specialist - Sustainability/ESGWe're seeking a diligent and skilled Data Quality Specialist to join our team in the Sustainability/ESG domain. In this role, you'll be responsible for ensuring the accuracy and quality of large datasets, identifying outliers, and creating high-quality, client-facing annotations. Your expertise will drive client happiness and contribute to the success of our sustainability-focused data services.Responsibilities1. Data Quality Assurance: Review and annotate large datasets to ensure accuracy, consistency, and quality, with a focus on sustainability and ESG metrics.2. Outlier Detection: Identify outliers and anomalies in datasets, using statistical methods and domain expertise to resolve relevance and impact.3. Client-Facing Annotations: Build high-quality, client-facing annotations that provide context and insights into sustainability and ESG data, including outlier explanations.4. Data Analysis: Analyse datasets to identify trends, patterns, and insights related to sustainability and ESG, and provide recommendations to clients.5. Domain Expertise: Apply knowledge of sustainability and ESG frameworks, regulations, and industry standards to ensure data accuracy and relevance.Requirements1. Sustainability/ESG Experience: Validated experience in sustainability, ESG, or a related field, with knowledge of frameworks, regulations, and industry standards.2. Data Analysis: Strong analytical skills, with ability to identify trends and outliers in large datasets.3. Annotation Expertise: Experience with data annotation, with ability to build high-quality, client-facing annotations.4. Attention to Detail: Strong attention to detail, with ability to maintain high accuracy in data and annotation work.5. Communication Skills: Excellent communication skills, with willingness to work with clients and partners.Nice to Have1. Data Science Fundamentals: Basic understanding of data science principles and machine learning concepts2. Programming Skills: Familiarity with programming languages, such as Python or data analysis tools.3. Knowledge of ESG reporting frameworks, such as GRI, SASB, or TCFD or CSRD.What We Offer1. Opportunity to Work in Sustainability/ESG, in a dynamic and growing field, chipping in to impactful sustainability projects.2. Professional Growth: Continuous learning and professional development opportunities, with potential for career growth and advancement.3. Collaborative Environment: Encouraging team environment, with opportunities for collaboration and knowledge-sharing.  If you're a diligent and skilled data professional with a passion for ESG, we'd love to hear from youJoin us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.Please take a moment to read this <a href="https://www.lseg.com/content/dam/lseg/en_us/documents/policies/lseg-global-candidate-privacy-notice.pdf" rel="noopener noreferrer" target="_blank">privacy notice</a> carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, <a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fprivacyportalde-cdn.onetrust.com%2Fdsarwebform%2F5f7a2da0-bed0-45e8-ac2c-c1f297e2efdc%2F4ae30ef5-8107-4353-a0b5-1bf34dd647f6.html.&amp;data=04%7C01%7Cbhavya.rajesh%40refinitiv.com%7C5998c534e4414d538b5008d96d2cce9f%7C71ad2f6261e244fc9e8586c2827f6de9%7C0%7C0%7C637660862381817886%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=tsXMrVLiU6mEDSYR3lPSoKobrJfrDcmk34w9RIHdUfI%3D&amp;reserved=0" rel="noopener noreferrer" target="_blank">your rights and how to contact us as a data subject</a>. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.<h4>Experience Level</h4>Senior Level

Data Annotator

Sr. Associate I, Data ScienceSummary of Position:At Alcon, we're passionate about enhancing sight and helping people see brilliantly. With more than 25,000 associates, we innovate fearlessly, champion progress, and act swiftly to impact global eye health. We foster an inclusive culture, recognizing your contributions and offering opportunities to grow your career like never before. Together, we make a difference in the lives of our patients and customers. Are you ready to join us?Responsible for developing and programming methods, processes, and systems to consolidate and analyze unstructured, diverse data sources to generate insights and solutions for client services and product enhancement. Data Science harness techniques from traditional AI domains, such as machine learning for Time Series and Computer Vision, as well as generative AI, focusing on Large Language Models (LLMs) for natural language processing. They leverage these technologies to uncover deep insights, innovate solutions, and drive forward the boundaries of what AI can achieve in various industry applications.Key Responsibilities:Sr. Associate I, Data Science (Science/Tech/Engineering Path), is primarily responsible for supporting and driving data science projects by applying advanced artificial intelligence and machine learning techniques to deliver actionable business insights and solutions. Specifics include: • Develop, test, and select machine learning models to support data science projects, making decisions regarding model selection and data processing methods • Analyze large datasets to extract actionable insights and inform decision-making • Collaborate with senior data scientists and stakeholders to achieve project objectives • Document and communicate findings and recommendations to both technical and non-technical audiences • Explore and recommend innovative artificial intelligence solutions to enhance team capabilities and improve data science processes and tools • Balance project requirements with technical constraints using sound judgment.Key Requirements/Minimum Qualifications:·       Strong analytical skills and technical problem solving·       Solid experience in building code and models·       Solid experience with building mathematical Optimization models with cvxpy etc.·       Good Experience with NLP and Computer Vision Algorithms·       Should have MLOps experience·       Project Management experience·       Experience with tools such as: Python, SQL, AWS, Tableau, Sagemaker, CVXPY etc.·       Selecting and employing advanced statistical procedures to obtain actionable insights.·       Cross-validating models to ensure their generalizability.·       Delegating tasks to Junior Data Analysts or Data Scientists in order to realize the successful completion of projects.·       Producing and disseminating non-technical reports that detail the successes and limitations of each project – Analytics Translation.·       Suggesting ways in which insights obtained might be used to inform business strategies.·       Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.Work hours: 1 PM to 10 PM ISTRelocation assistance: YesEmployment Scams: Alcon is aware of employment scams which make false use of our company name or leader’s names to defraud job seekers. Alcon does not offer any positions without interview and never asks candidates for money. All our current job openings are displayed here on the Careers section of our website, where you can search for open positions and apply directly.If you have encountered a job posting or been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond, send money or personal information, and check our website for current job openings.ATTENTION: Current Alcon Employee/Contingent WorkerIf you are currently an active employee/contingent worker at Alcon, please click the appropriate link below to apply on the Internal Career site.<a href="https://wd5.myworkday.com/alcon/d/inst/1422$3/rel-task/3001$14.htmld" rel="noopener noreferrer" target="_blank">Find Jobs for Employees</a><a href="https://wd5.myworkday.com/alcon/d/inst/1422$130/rel-task/3001$14.htmld" rel="noopener noreferrer" target="_blank">Find Jobs for Contingent Worker</a>  Alcon is an Equal Opportunity Employer and takes pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital status, disability, or any other reason.<h4>Experience Level</h4>Mid Level

Alcon Laboratories India Pvt Ltd

Data Governance/Management Business ConsultantReq ID: 339365 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.We are currently seeking a Data Governance/Management Business Consultant to join our team in Bangalore, Karnātaka (IN-KA), India (IN).Job Duties: We are seeking a pragmatic, detail oriented and experienced Data Governance/ Management Business Consultant to join the BA ODIEProgramme. The ideal person for this role loves to collaborate with other data professionals, engineers, and business or operationsexperts to understand and address their data needs. We are seeking a consultant used to working on behalf of clients in fast paced anddemanding environments with hands on experience of implementing data quality solutions and has great data standards management· Work within a team to deliver Data Governance/ Management implementation projects with/ for our clients:§ Define and enforce policy, measure and report compliance; assist our clients to build capabilities to do this§ Assist in clearly defining and communicating the roles and responsibilities for data ownership and§ Assist in setting clear guidance for data related roles and responsibilities through the Data Ownership framework and Policies.§ Help to mature data governance in the organisation including providing guidance, frameworks, and training.§ Identify, manage, and control data risks. With guidance, proactively set risk appetite, monitor performance, and uphold data integrity.§ Assist in the establishment of processes for review (and escalation) of the data control environment· Input into the shaping of Data Governance/ Management engagements.· Support the education of the wider Data &amp; Intelligence practice in the field of Data Governance/ Management. Minimum Skills Required: Data Governance/ Management capabilities which include DataCatalogues, Data Lineage, Data Quality Management, Master and Reference Data Management, Metadata Management, and Data andAI Ethics. Know of Atlan Catalog or Monte Carlo data quality tooling would be desirableAbout NTT DATANTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at <a href="http://us.nttdata.com/en">us.nttdata.com</a>Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, <a href="https://us.nttdata.com/en/contact-us">https://us.nttdata.com/en/contact-us</a>.NTT DATA endeavors to make <a href="https://us.nttdata.com">https://us.nttdata.com</a> accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at <a href="https://us.nttdata.com/en/contact-us">https://us.nttdata.com/en/contact-us</a>. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click <a href="http://us.nttdata.com/en/compliance#eeos">here</a>. If you'd like more information on your EEO rights under the law, please click <a href="http://us.nttdata.com/en/compliance#know-your-rights">here</a>. For Pay Transparency information, please click<a href="http://us.nttdata.com/en/compliance#ppnp"> here</a>.

NTT DATA Global Delivery Services Ltd

Data Analyst Intern

Senior Power BI ConsultantWe are looking for a highly experienced Senior Power BI Consultant to lead strategic data initiatives and deliver advanced analytics solutions. The resource will have deep expertise in Power BI, DAX, and data modeling, along with strong leadership and collaboration skills. This role involves architecting complex dashboards, mentoring team members, and driving innovation in data visualization and reporting.<h4>Roles &amp; Responsibilities:</h4><ul><li>Lead requirement gathering sessions with clients to define strategic data goals.</li><li>Architect and develop complex Power BI reports and dashboards.</li><li>Drive innovative UI/UX design strategies for enhanced user experience.</li><li>Utilize expert-level DAX formulas for advanced calculations and data manipulation.</li><li>Oversee seamless integration of external and varied data sources into Power BI.</li><li>Provide expert-level troubleshooting and support for critical reporting issues.</li><li>Ensure adherence to best practices in report maintenance and optimization.</li><li>Mentor and guide junior and mid-level developers within the team.</li><li>Collaborate with cross-functional teams to ensure successful project delivery.</li></ul><h4>Required Skills:</h4><ul><li>8-11 years of experience in Power BI development with a proven track record.</li><li>In-depth knowledge of Power BI, advanced DAX, and data modeling techniques.</li><li>Strong leadership, communication, and project management capabilities.</li><li>Ability to architect scalable and efficient BI solutions.</li><li>Bachelor’s or Master’s degree in Computer Science or a related field.</li><li>Pharma domain experience is a plus.</li></ul>IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at <a href="https://jobs.iqvia.com/" rel="noopener noreferrer" target="_blank">https://jobs.iqvia.com</a><h4>Experience Level</h4>Senior Level

IQVIA

(IND) STAFF, DATA SCIENTIST<h4>Position Summary...</h4>Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning. Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching for success and improvement; and promoting a belonging mindset in the workplace. Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy. Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness; and participating in and supporting community outreach events.<h4>What you'll do...</h4>About the Team:Centroid team at Walmart serves as the backbone of Walmart's end-to-end supply chain strategy. They are entrusted with the task of designing and implementing a long-term supply chain strategy that uses advanced data analytics and data science. Their primary objective is to ensure that Walmart provides top-tier customer service while supporting the increasing demand over time and simultaneously operating at low and efficient costs.The team utilizes sophisticated data analysis methods to understand patterns, identify potential bottlenecks, and predict future trends. This enables them to optimize processes, make informed business decisions, and enhance overall operational efficiency.One of Centroids key responsibilities also includes the creation of a Digital Twin Simulation platform for Walmart's supply chain. This innovative tool allows the team to test and validate all future strategies and tactical decisions before they are launched operationally. It also enables a deep assessment of long-term strategic sensitivity.In essence, the Centroid teams work is integral to ensuring Walmart's supply chain is robust, flexible, and capable of adapting to ever-changing market demands. Their work helps to keep Walmart at the forefront of retail supply chain management, delivering exceptional service to customers while maintaining efficient operational costs.What You'll do:<ul><li>Develop and manage advanced data analytics models to optimize supply chain strategies, balancing customer satisfaction with operational cost and asset efficiency.</li><li>Leverage data analytics to identify opportunities for improvement and drive impactful results through collaboration with cross-functional teams.</li><li>Establish relationships across Walmart functional areas to identify best practices, solicit data/input, coordinate interdisciplinary initiatives, and rally support for data-driven recommendations.</li><li>Secure alignment and support from relevant business partners and management for data-centric projects, leading discussions to drive necessary change.</li><li>Utilize all available data resources effectively to ensure successful project outcomes.</li><li>Communicate data insights clearly and persuasively through emails, verbal discussions, and presentations, tailoring communication methods to the audience for maximum impact.</li><li>Collaborate with multiple supply chain business teams to proactively identify, assess, and leverage cost-saving and service improvement opportunities through advanced data analytics.</li><li>Utilize advanced analytics models to derive insights that will inform policy design across various supply chain areas, laying out multiple scenarios and performing sensitivity analysis.</li><li>Collaborate with Data Scientists and Engineers to productionize and scale advanced analytics models as needed.</li><li>Develop and present compelling data-driven narratives/documents/visuals to influence key stakeholders in their decision-making.</li><li>Provide coaching and training support to other team members in the supply chain area, leveraging your expertise in advanced data analytics.</li></ul>What You'll bring:<ul><li>Strong analytical acumen with technical expertise in Advanced Data Analytics and modelling</li><li>Expert in SQL, - BigQuery like cloud data platforms.</li><li>Expert in programming in Python, (or R)</li><li>Experience in using data visualization tools like Tableau and Looker and be able to drive powerful insights.</li><li>Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, and/or Spark)</li><li>Experience in operating from a cloud environment such as Google Could Platform or Microsoft Azure.</li><li>Ability to work in a fast-paced, iterative development environment.</li><li>Strong communication skills, both written and verbal, plus ability to work with cross functional teams of technical and non-technical members.</li><li>Strong ability to understand the business and have good stakeholder management capabilities.</li><li>Experience of working in cross-functional environment and leading or mentoring teams.</li></ul>About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives.BenefitsBeyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.BelongingWe aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.At Walmart, our vision is ''everyone included.'' By fostering a workplace culture where everyone is and feels included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, were able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.Equal Opportunity EmployerWalmart, Inc., is an Equal Opportunities Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions while being welcoming of all people.<h4>Minimum Qualifications...</h4>Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field.<h4>Preferred Qualifications...</h4>Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. <h4>Primary Location...</h4>BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India<h4>Experience Level</h4>Senior Level

Visual Data Scientist LeaderAt Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.Organization Overview:At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.The Advanced Intelligence (AI) team brings the power of data and advanced analytic capabilities such as artificial intelligence, machine learning, visual analytics and predictive analytics to identify and solve high-value business questions.  The AI team is actively looking for a motivated leader for Advanced Intelligence who will lead the strategic development and implementation of visual analytics solutions for exploratory problems and data story telling work products for explanatory problems.  This role demands a visionary leader to define, execute, and evolve a robust strategy aligned with organizational goals, while fostering operational excellence, compliance, and collaboration across teams and stakeholders. Responsibilities:<ul><li>Lead a talented and diverse team of visual data scientists to apply their skillsets in diverse areas such as scientific publications, discovery and business development.</li><li>Develop and implement strategy to improve how data scientists communicate and share their analytical results</li><li>Collaborate with leaders in other information technology functions to deliver visual analytics solutions to business problems</li><li>Partner with business/research teams to identify, scope, and execute visual analytics efforts that answer business/scientific questions and deliver value to patients.</li><li>Maintain a broad understanding of the pharmaceutical business and be fully engaged with business/research teams, bringing an objective voice to the table and facilitating decisions grounded in visual analytics and data science.</li><li>Collaborate with other analytics team members to review and provide feedback on the analytics being done and be willing to seek feedback from other team members about your own work.</li><li> Stay current with respect to data science and visual analytics methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected.</li><li>Collaborate with others to design, develop and deploy enterprise-level analytics capabilities/solutions, including applications in explainable AI.</li><li>Consult domain experts and elucidate workflows to incorporate advanced analytics in tools for users with no background in data science. </li><li>Ability to influence people to adopt innovative data visualizations and methods.</li><li>Communicate results effectively using data story telling techniques</li></ul>Basic Qualifications: <ul><li>Ph.D.  or M.S. in Computer Science, Statistics, Biostatistics, Engineering with at least 3 years of experience (excluding internships) in the industry OR</li><li>B.S. in one of the above fields with 7+ years of experience (excluding internships) in the industry, including people management experience,</li><li>Leadership experience and ability to grow and develop a team</li><li>Excellent communication skills, with an strong passion for visual data storytelling</li><li>Proficiency with deploying web-based data visualization using d3, HTML and CSS. </li></ul>Additional Skills/Preferences:<ul><li>Understanding of advanced analytics in statistics and machine learning</li><li>Advanced knowledge of visual analytics algorithms like force directed graph and network diagrams.</li><li>Proficiency with grammar of graphics and data story telling </li><li>Internal or external consulting experience</li><li>Agility and flexibility to work with very diverse problems and business partners </li><li>Self-management skills with a focus on results for timely and accurate completion of competing deliverable </li></ul>Additional Information:<ul><li>When applying please attach or submit a link to your portfolio of work</li><li>You will be on a hybrid work schedule in Bengaluru, India.</li></ul>Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (<a href="https://careers.lilly.com/us/en/workplace-accommodation" rel="noopener noreferrer" target="_blank">https://careers.lilly.com/us/en/workplace-accommodation</a>) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.#WeAreLilly<h4>Experience Level</h4>Senior Level

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