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Principal Data Engineer (Associate Director)<h4>About the Opportunity</h4>Job Type: PermanentApplication Deadline: 28 November 2025Job DescriptionTitle: Principal Data Engineer (Associate Director)Department: ISS  Location: BangaloreReports To: Head of Data Platform - ISS Grade : 7We’re proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this? By working together - and supporting each other - all over the world. So, join our team and feel like you’re part of something bigger.Department Description ISS Data Engineering Chapter is an engineering group comprised of three sub-chapters - Data Engineers, Data Platform and Data Visualisation – that supports the ISS Department.Fidelity is embarking on several strategic programmes of work that will create a data platform to support the next evolutionary stage of our Investment Process.  These programmes span across asset classes and include Portfolio and Risk Management, Fundamental and Quantitative Research and Trading.     Purpose of your role This role sits within the ISS Data Platform Team.  The Data Platform team is responsible for building and maintaining the platform that enables the ISS business to operate.This role is appropriate for a Lead Data Engineer capable of taking ownership and a delivering a subsection of the wider data platform.Key Responsibilities   Design, develop and maintain scalable data pipelines and architectures to support data ingestion, integration and analytics. Be accountable for technical delivery and take ownership of solutions. Lead a team of senior and junior developers providing mentorship and guidance. Collaborate with enterprise architects, business analysts and stakeholders to understand data requirements, validate designs and communicate progress. Drive technical innovation within the department to increase code reusability, code quality and developer productivity. Challenge the status quo by bringing the very latest data engineering practices and techniques. Essential Skills and ExperienceCore Technical SkillsExpert in leveraging cloud-based data platform (Snowflake, Databricks) capabilities to create an enterprise lake house. Advanced expertise with AWS ecosystem and experience in using a variety of core AWS data services like Lambda, EMR, MSK, Glue, S3. Experience designing event-based or streaming data architectures using Kafka. Advanced expertise in Python and SQL. Open to expertise in Java/Scala but require enterprise experience of Python. Expert in designing, building and using CI/CD pipelines to deploy infrastructure (Terraform) and pipelines with test automation. Data Security &amp; Performance Optimization:  Experience implementing data access controls to meet regulatory requirements. Experience using both RDBMS (Oracle, Postgres, MSSQL) and NOSQL (Dynamo, OpenSearch, Redis) offerings. Experience implementing CDC ingestion. Experience using orchestration tools (Airflow, Control-M, etc..) Bonus technical Skills:Strong experience in containerisation and experience deploying applications to Kubernetes. Strong experience in API development using Python based frameworks like FastAPI. Key Soft Skills:Problem-Solving:  Leadership experience in problem-solving and technical decision-making. Communication:  Strong in strategic communication and stakeholder engagement. Project Management:  Experienced in overseeing project lifecycles working with Project Managers to manage resources. Feel rewardedFor starters, we’ll offer you a comprehensive benefits package. We’ll value your wellbeing and support your development. And we’ll be as flexible as we can about where and when you work – finding a balance that works for all of us. It’s all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.<h4>Experience Level</h4>Mid Level

Fidelity International

Data Engineer

Software Engineer, Data ScienceJoin us as a Software Engineer<ul><li>This is an opportunity for a driven Software Engineer to take on an exciting new career challenge</li><li>Day-to-day, you'll build a wide network of stakeholders of varying levels of seniority</li><li>It’s a chance to hone your existing technical skills and advance your career</li><li>We’re offering this role at associate vice president level</li></ul><h4>What you'll do</h4>In your new role, you’ll engineer and maintain innovative, customer centric, high performance, secure and robust data science solutions. You’ll be working within a feature team and using your extensive experience to engineer software, scripts and tools that are often complex, as well as liaising with other engineers, architects and business analysts across the platform.You’ll be proactively bringing together statistical, mathematical, machine learning and software engineering skills to consider multiple solutions, techniques, and algorithms.In addition, you’ll be:<ul><li>Working with stakeholders to understand their complex requirements and needs of the business, form hypotheses and identify suitable statistical models to meet those needs</li><li>Working in permanent teams who are responsible for the full life cycle, from initial development, through enhancement and maintenance to replacement or decommissioning</li><li>Collaborating to optimise our software engineering capability</li><li>Selecting, building, training, and testing complex machine models, considering model valuation, model risk, governance, and ethics throughout to implement and scale models</li><li>Designing, producing, testing and implementing our working code</li><li>Working across the life cycle, from requirements analysis and design, through coding to testing, deployment and operations</li></ul><h4>The skills you'll need</h4>You’ll need at least eight years of experience in statistical modelling, software engineering, software design, architecture, and an understanding of how your area of expertise supports our customers.You’ll also need:<ul><li>Experience of using statistical software, database languages and big data technologies</li><li>Experience in Python, building machine learning and statistical models</li><li>Understanding to statistical techniques like linear regression, logistic regression, random forest, time series and K Means</li><li>Experience in Azure Cloud technology</li><li>Experience of turning business requirements into a statistical modelling solution</li></ul>Hours45Job Posting Closing Date:02/10/2025<h4>Experience Level</h4>Mid Level

NatWest Group

Software Engineer 1

Fullstack AI/ML EngineerWe are seeking a passionate and experienced Full Stack AI/ML Engineer with a strong background in machine learning and a drive for building intelligent systems. As a Full-Stack AI/ML Engineer on the Ford Pro Charging team, you will design, build, and ship intelligent services that power our global EV-charging platform. If you love turning data into real-world impact and thrive on end-to-end ownership—from research notebooks to production APIs—this is your playground. Design &amp; Develop AI Solutions: Lead the design, development, training, and evaluation of machine learning models and AI solutions across various domains to enhance our products and services.Identify AI Opportunities: Proactively identify and explore opportunities to apply data-driven solutions to improve existing products, optimize internal processes, and create new value propositions.Model Implementation &amp; Optimization: Implement, optimize, and deploy various machine learning algorithms and deep learning architectures to solve complex problems.Data Management &amp; Engineering: Collaborate with data engineers to ensure robust data collection, preprocessing, feature engineering, and pipeline development for effective model training and performance.Backend Integration: Design and implement robust APIs and services to integrate AI/ML models and solutions seamlessly into our existing backend infrastructure, ensuring scalability, reliability, and maintainability.Performance Monitoring &amp; Improvement: Continuously monitor, evaluate, and fine-tune the performance, accuracy, and efficiency of deployed AI/ML models and systems.Research &amp; Innovation: Stay abreast of the latest advancements in AI, ML, and relevant technologies, and propose innovative solutions to push the boundaries of our product capabilities.Testing &amp; Deployment: Participate in the rigorous testing, deployment, and ongoing maintenance of AI/ML solutions in production environments. Required Skills &amp; Qualifications:<ul><li>Experience: 2+ years of professional experience in Artificial Intelligence, Machine Learning, or Data Science roles, with a proven track record of delivering production-grade AI/ML solutions (or equivalent demonstrable expertise).  </li><li>Technical Expertise:<ul><li>Proficiency in Python and strong experience with core AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers).</li><li>Solid grasp of various machine learning algorithms (supervised, unsupervised, reinforcement learning) and deep learning architectures.</li><li>Demonstrated experience applying machine learning to complex datasets, including structured and unstructured data.</li><li>Proficient in API design (REST, GraphQL), microservices, and database design (SQL/NoSQL); production experience on at least one major cloud (AWS, Azure, or GCP).</li><li>Practical knowledge of Docker, Kubernetes, and CI/CD pipelines (GitHub Actions, Argo, or similar).</li></ul></li><li>Problem-Solving: Excellent analytical and problem-solving skills, with proven ability to break down complex problems into iterative experiments and devise effective, scalable AI/ML solutions</li><li>Enthusiasm &amp; Learning: A genuine passion for technology, coupled with a self-driven commitment to continuous learning and mastery of new techniques. We value individuals who proactively identify challenges, conceptualize solutions, and lead ideation and innovation, beyond mere task execution</li><li>Communication: Strong communication skills to articulate complex technical concepts to both technical and non-technical stakeholders.</li><li>Education: Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a related quantitative field.</li></ul>Bonus Points:<ul><li>Domain expertise in EV charging, smart-grid, or energy-management systems.</li><li>Experience with distributed data technologies (Spark, Flink, Kafka Streams).</li><li>Contributions to open-source ML projects or peer-reviewed publications.</li><li>Knowledge of ethical and responsible AI frameworks, including bias detection and model explainability. </li></ul><h4>Experience Level</h4>Mid Level

Ford Motor

Senior Software Automation Engineer

Senior Tableau Developer DXC Technology hiring candidates for below position.&nbsp;Job Role: Senior Tableau DeveloperYears of experience:&nbsp;6+ Interested candidates can share their resume with below detailsCurrent CTC:Expected CTC:Notice Period:Current Location:Preferred Location:

DXC Technology India Pvt Ltd

Data Analyst

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

Big Data Developer Mandatory Skills- AWS, Scala, Spark, HadoopExperience- 3.5 to 9 years Share your updated resume now.

Coforge

IN_Senior Associate_ SAP Analytics_D&A_Advisory_PAN IndiaLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. In SAP data and analytics at PwC, you will specialise in providing consulting services for data and analytics solutions using SAP technologies. You will analyse client requirements, design and implement data management and analytics solutions, and provide training and support for effective utilisation of SAP data and analytics tools. Working in this area, you will work closely with clients to understand their data needs, develop data models, perform data analysis, and create visualisations and reports to support data-driven decision-making, helping them optimise their data management processes, enhance data quality, and derive valuable insights from their data to achieve their strategic objectives.Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.Responsibilities:· Excellent technical know-how and hands on experience in SAP BW4/HANA. · Good balance of experience in SAP BW4HANA/BW on HANA Modeling, Data extraction and reporting areas. · Hands on Experience on Business Warehouse Modeling: Standard and custom data models &amp; Extractors (ODP &amp;amp; Non ODP). · Expertise in SAP and non-SAP extraction and functional aspects. · End to end development experience in SAP BW4HANA Modelling using ADSOs, Composite Providers, Open ODS views, Transformations, BEX Queries and Native HANA &amp;amp; exposing BW models as HANA views, mixed scenarios, HANA Analysis process Aware about LSA ++ standard methodology and performance optimization concepts, handling complex transformations using ABAP etc. · Experience in BEx Query Designer, Customer Exits Variables, Roles &amp;amp; Authorization · Experience in ABAP (BW relevant) and SQL AMDP Scripts, Start/End/Exit/Expert/Field Routines) and BADIs, good in debugging ABAP Code. · Functional knowledge of other SAP modules (PS, SD, MM, FICO, PS, PM, REFX etc). · Experience in mapping business requirements to the technical architecture design and data model. · Worked on SAP BW Support Projects &amp;amp; having knowledge of Administration: Monitoring Process Chains. Expert in trouble shooting the load failures. · Worked on SAP BI migration/upgrade Project Knowledge of any Reporting will be plusMandatory skill sets:SAP AnalyticsPreferred skill sets:SAP AnalyticsYears of experience required:4-8Education qualification:Btech/MBA/MCAEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of TechnologyDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsSAP Analytics CloudOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Communication, Complex Data Analysis, Creativity, Data Analysis Software, Data Collection, Data-Driven Consulting, Data Integration, Data Mining, Data Modeling, Data Preprocessing, Data Quality, Data Quality Improvement Plans (DQIP), Data Security, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Learning Agility, Optimism {+ 10 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date<h4>Experience Level</h4>Senior Level

PriceWaterhouseCoopers Pvt Ltd ( PWC )

SAP MM Consultant

Alation Expert We’re looking for exceptional professionals who’ve mastered the Alation tool — people who can turn metadata into meaning and data into business impact.If you’ve worked hands-on with Alation for data cataloging, governance, or metadata automation, we’d love to connect!Domain: Telecom Data &amp; AI Share your updated resume now.

Incedo Inc

3D Artist

Data EngineerWhere Data Does More. Join the Snowflake team.<h4>Data Infrastructure &amp; Pipeline Development</h4><ul><li>Design, build, and launch production-ready data models and data pipelines that scale effectively</li><li>Implement enterprise-grade data governance frameworks and maintain data quality standards</li><li>Develop and optimize data ingestion processes from various enterprise needs</li><li>Create efficient data transformation workflows to prepare data for business intelligence ML-AI and Data Products.</li></ul><ul><li>Partner with data scientists, product managers, and business stakeholders to understand and address data requirements</li><li>Work closely with business application owners to ensure seamless automation and data management processes</li><li>Participate actively in Agile ceremonies including daily standups, sprint planning, sprint reviews, and retrospectives</li><li>Build strong relationships with stakeholders at all levels, from executive to operational teams</li></ul><ul><li>Lead quality assurance efforts by defining testing strategies and identifying potential risks</li><li>Ensure timely identification, tracking, and resolution of technical issues</li></ul><h4>Product &amp; Business Alignment</h4><ul><li>Build deep data expertise and take ownership of data quality for assigned business domains</li><li>Align development efforts with the product roadmap when building tools and solutions</li><li>Mature requirements gathering processes and follow Agile methodologies for data product development</li><li>Proactively adapt to changing business requirements while maintaining solution integrity</li></ul>What we need to see<h4>Education &amp; Experience</h4><ul><li>Bachelor's degree in Computer Science, Information Systems, or related field (preferably with emphasis on system design and database warehousing/modeling), or equivalent experience</li><li>3-5 years of direct experience developing and managing data pipelines for ingestion and transformation</li><li>Demonstrated expertise with modern cloud data infrastructure and data modeling techniques</li></ul><h4>Technical Skills</h4><ul><li>Required: Experience with data pipeline development, ETL/ELT processes, and data warehousing concepts,Experience with SQL, Python</li><li>Preferred: Knowledge of Snowflake, Apache Airflow, and dbt (data build tool)</li><li>Desired:Cloud infrastructure (AWS, Azure, or GCP)</li><li>Understanding of data governance principles and best practices</li></ul><h4>Professional Skills</h4><ul><li>Excellent written and verbal communication skills to effectively convey technical concepts</li><li>Strong attention to detail and results-oriented mindset</li><li>Ability to adapt quickly to changing requirements and priorities</li><li>Commitment to exceptional customer service and quality deliverables</li><li>Collaborative approach to problem-solving with cross-functional teams</li><li>Self-motivated with the ability to work independently and as part of a team</li><li>Effective time management and organizational skills</li></ul>Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.How do you want to make your impact?For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: <a href="http://careers.snowflake.com" rel="noopener noreferrer nofollow" target="_blank">careers.snowflake.com</a>

Snowflake Computing India Llp

Data Scientist III<h4>Position Summary...</h4>Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices.<h4>What you'll do...</h4>About the teamEver wondered how Walmart is achieving everyday low price and being competitive in retail space. Our Applied AI Market Intelligence team (MINT) is building best in class cutting edge solution powered by innovation in LLMs and computer vision models leveraging state of the art architectures and methodologies with ample opportunity for innovation and experiments.We in MINT are building a state-of-the-art SaaS platform encompassing the best of engineering and data science practicesMINT team in Walmart seeks to empower functional leaders in merchandising/marketplace, and product managers, developers, data scientists and data analysts through data-led services that they can leverage for customers and sellers.Our strategy is to win by enhancing business outcomes in two ways:1) Distribution of high-quality knowledge and2) Automated decision-making. We seek to derive useful retail insights by: Building predictive modelling triggers, which optimize relevant utility or risk functions. Establishing an ecosystem which supports rapid iterative experiments enabling us to validate and productize hypothesis quickly.These capabilities will help drive customer satisfaction through catalogue growth, easy discoverability of items at low cost, and through pricing automation to make Walmart the retailer of choice.  What You’ll Do <ul><li>Design and scale ML solutions using advanced techniques in NLP, computer vision, and deep learning to solve complex retail problems at Walmart scale.</li><li>Collaborate cross-functionally with engineering, product, and science teams to build impactful, production-ready models and integrate them into business processes.</li><li>Drive innovation through rapid experimentation, PoC development, and continuous improvement using the latest research and technologies.</li><li>Measure and optimize performance by defining model metrics, tracking business impact, and applying statistical methodologies for large-scale data analysis.</li><li>Contribute to the AI community by publishing research, presenting at top-tier conferences, and representing Walmart at external forums top tier ML/AI conferences such as NIPS, ICML, AAAI and COLT<ul><li>Participate and speak at various external forums such as research conferences and technical summits.</li><li>Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.</li></ul></li></ul>What You’ll bring<ul><li>Educational Background: Bachelor’s (2+ years) or Master’s (1+ years) in STEM with relevant experience in data science and machine learning.</li><li>Skills Expected from Work Experince: <ul><li>Strong foundation in ML concepts, with hands-on experience in NLP, computer vision, and transformer-based models like BERT, ViT, and LLMs; skilled in fine-tuning and applying these models to business problems.</li><li>Experience in analysing complex problems and translating them to data science solutions with due attention to computational efficiency and scale.</li><li>Knowledge in statistical methodologies to be able to measure metrics of large dataset and leveraging statistical based sample methods.</li><li>Worked with at least one mainstream machine learning framework such as Tensor Flow and PyTorch</li><li>Experience with debugging skills, RCA and stakeholder management.</li><li>Good to have:<ul><li>Experience working with big data - identifying trends, patterns, and outliers in large volumes of data.</li><li>Working Experience with SQL and relational databases</li><li>Experience with big data platforms – Hadoop (Hive, Pig, Map Reduce, HQL) / Spark / H20 is good to have</li><li>Domain Knowledge: Retail eCommerce</li></ul></li></ul></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.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, we’re 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 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: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 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

Sr. Data Scientist<h4>Job Description</h4>Our Data Science teams help to provide NIQ’s clients with the most complete understanding of the market and its consumers. With a footprint in over 100 countries across the globe, our extensive data and measurement capabilities provide market context and confidence. We are constantly innovating to keep pace with emerging market trends and the increasingly diverse, demanding and connected consumer.The Data Science Team provides other teams within NIQ expertise in our panel development, assisting with new products, data feeds and estimation techniques. We are responsible for creating and adhering to the best practices and approaches for panel weighting and data processing/aggregation. The team’s core value of integrity applies to our processes, client deliverables and team relationships.What you’ll do<ul><li>Support Data Science solutions for client request and provide initial recommendations for complex client raised issues.</li><li>Support Internal and External Clients with the understanding of NIQ design and methodology.</li><li>Accompany senior leaders to meet with clients to understand business needs and help offer innovative solutions.</li><li>Work on creating new solutions use cases, proof of concept and prototypes by exploring diverse data sets using tools such as Python / R.</li><li>Understand NielsenIQ products and services to suggest to new solutions for client challenges.</li><li>Collaborate with other Data Science team units.</li><li>Automate and develop solutions for existing processes.</li><li>Support or participate in Innovation initiatives to create out of the box solutions by leveraging large and diverse data sets and state of the art technologies.</li><li>Be part of international team with main responsibility of Central Europe markets.</li></ul>Experience <ul><li>Degree in Statistics, Economics, Actuarial Sciences, Operative Research, Econometrics, Data Science or a similar quantitative field.</li><li>Professional experience, preferably in the FMCG industry. Broad industry knowledge of NIQ reports and methodologies is a benefit.</li></ul><h4>Qualifications</h4><ul><li>Excellent communication, data visualization &amp; presentation skills, a strong communicator to be able to explain technical concepts clearly and concisely in a non-technical way. Strong verbal, presentation and written skills.</li><li>Excellent data management skills.</li><li>Expert proficiency in Excel and MS office in general is a must.</li><li>Basic knowledge of statistical or mathematical packages (R/Python).</li></ul><ul><li>An efficient and creative problem-solver with an exceptional aptitude for data analysis (ability to use statistical methodologies to analyze the data).</li><li>Excellent English communication skills (must have), with the ability to effectively interface across cross-functional technology teams and the business</li><li>A high degree of accuracy and attention to details.</li><li>Excited by challenges, pro-actively interacting with others, an enthusiastic and flexible team player.</li><li>Strong time management skills and ability to work under pressure.</li><li>Ability to work independently and set direction of the overall program.</li></ul><h4>Additional Information</h4>Our Benefits<ul><li>Flexible working environment</li><li>Volunteer time off</li><li>LinkedIn Learning</li><li>Employee-Assistance-Program (EAP)</li></ul>About NIQNIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.For more information, visit NIQ.comWant to keep up with our latest updates?Follow us on: <a href="https://www.linkedin.com/company/nielseniq/mycompany/">LinkedIn</a> | <a href="https://www.instagram.com/nielseniq/">Instagram</a> | <a href="https://twitter.com/nielseniq">Twitter</a> | <a href="https://www.facebook.com/NielsenIQ.global/">Facebook</a>Our commitment to Diversity, Equity, and InclusionAt NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the <a href="https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&amp;data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&amp;reserved=0">https://nielseniq.com/global/en/news-center/diversity-inclusion</a><h4>Experience Level</h4>Senior Level

NielsenIQ

Senior Data Science Specialist We’re Hiring: Senior Data Science Specialist! Work Type: Hybrid Skills &amp; Experience:<ul><li>7+ years of experience in Data Science, AI/ML, Predictive Modeling, and Advanced Analytics</li><li>Expertise in Python, BigQuery, and Machine Learning frameworks</li><li>Strong grasp of statistical modeling, data visualization, and algorithms</li><li>Experience with GenAI and Artificial Intelligence Systems is a plus</li></ul> Key Responsibilities:<ul><li>Analyze large and complex datasets to derive actionable insights and support data-driven decision-making.</li><li>Design and implement ML models, algorithms, and experiments to uncover meaningful patterns and trends.</li><li>Apply advanced analytics techniques—predictive modeling, prescriptive analytics, data mining, and AI/ML—to real-world business problems.</li><li>Develop scalable, efficient data analysis and model automation pipelines.</li></ul> If interested, kindly share your CV.

Teamware Solutions

Senior Data Engineer <ul><li>Architect and optimize large-scale data pipelines</li><li>Work with cutting-edge tools like MWAA, ECS, Glue, Redshift, Airflow, Terraform</li><li>Collaborate in Agile teams and integrate CI/CD workflows</li><li>Drive innovation with AI/ML workflows and modern observability tools</li></ul> What We’re Looking For:<ul><li>8+ years of hands-on experience in Data Engineering</li><li>Deep knowledge of AWS services and distributed systems</li><li>Strong experience with Databricks (PySpark, Delta Lake), DBT, and data modeling</li><li>Bonus: Experience with Meltano, AI/ML pipelines, and tools like Datadog or Prometheus</li></ul> Share your resume now.

GSPANN Technologies

Data Engineer Mandatory Skill- Azure (Azure data bricks, data factory, data lake), AWS-Scala (AWS, Scala, Hadoop, Spark)Experience- 5.5-9 YearsEarly joiners only Share your updated resume now.

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