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Data ScientistWe’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.SHOULD YOU ACCEPT THIS CHALLENGE...We’re looking for a highly analytical and hands-on Data Scientist to drive segmentation, targeting, and next-best-action strategies that power B2B marketing and sales strategies. This role sits at the intersection of data science, marketing, and operation strategy—ideal for someone who thrives in fast-paced environments and is passionate about using data to personalize and scale customer engagement.WHAT YOU’LL NEED TO BRING TO THIS ROLE... Responsibilities<ul><li>Extract, clean, and prepare data from various sources (CRM, Marketo, web analytics, etc.) for analysis.</li><li>Apply statistical methods—hypothesis testing, correlation, forecasting, regression, sampling, time series analysis —to understand the drivers of marketing performance and improve pipeline efficiency.</li><li>Implement analytics strategies to understand buyer behaviors, segments, and channels across solutions.</li><li>Conduct time series or regression analysis to identify trends, and understand seasonality in B2B customer behavior.</li><li>Map multi-touch customer journeys to identify key behavioral signals that influence engagement, opportunity creation. and conversion</li><li>Perform causal inference and experiment analysis to assess marketing lift and channel effectiveness.</li><li>Collaborate with marketing and sales stakeholders to understand their business questions and translate them into analytical frameworks</li><li>Build dashboards and reports and enable marketing teams with self-serve analytics tools for activation and performance monitoring.</li><li>Partner with Marketing Operations to embed insights into MAP and CRM workflows.</li></ul> Skills &amp; Qualifications<ul><li>4+ Years of Experience in Data Science, Marketing Analytics or related fields in B2B</li><li>A degree in Statistics, Data Science, Economics, Computer Science, Math or a similar domain</li><li>Experience applying data science best practices to B2B marketing use cases such as lead scoring, propensity models, journey analytics, and account prioritization.</li><li>Deep understanding of statistical analysis, segmentation techniques, and machine learning (e.g., regression, clustering, classification, uplift modeling).</li><li>Ability to translate complex analytics into business action across marketing and sales.</li><li>Comfortable working cross-functionally and presenting insights to non-technical stakeholders.</li><li>Strong skills in Python (pandas, scikit-learn, seaborn/matplotlib), SQL, Google Sheet and Tableau.</li><li>Familiarity with CRM/MAP, and Intent platforms (6sense, Bombora etc).</li><li>Exposure to causal inference, experimentation (A/B testing), or time-to-event modeling.</li><li>We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.</li></ul>#LI-ONSITEWHAT YOU CAN EXPECT FROM US:<ul><li>Pure Innovation: We celebrate those who think critically, like a challenge and aspire to be trailblazers.</li><li>Pure Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been Named Fortune's Best Large Workplaces in the Bay Area™, Fortune's Best Workplaces for Millennials™ and certified as a Great Place to Work®!</li><li>Pure Team: We build each other up and set aside ego for the greater good.</li></ul>And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources and company-sponsored team events. Check out <a href="http://purebenefits.com">purebenefits.com</a> for more information.ACCOMMODATIONS AND ACCESSIBILITY:Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at <a href="mailto:TA-Ops@purestorage.com">TA-Ops@purestorage.com</a> if you’re invited to an interview.OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Pure is proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.<h4>Experience Level</h4>Mid Level

Pure Storage India Pvt Ltd

Data Scientist

Deputy General Manager - Ops Data AnalyticsJohnson Controls is the global leader for smart, healthy and sustainable buildings. At Johnson Controls, we’ve been making buildings smarter since 1885, and our capabilities, depth of innovation experience, and global reach have been growing ever since. Today, we offer the world’s largest portfolio of building products, technologies, software, and services; we put that portfolio to work to transform the environments where people live, work, learn and play.This is where Johnson Controls comes in, helping drive the outcomes that matter most. Through a full range of systems and digital solutions, we make your buildings smarter. A smarter building is safer, more comfortable, more efficient, and, ultimately, more sustainable. Most important, smarter buildings let you focus more intensely on your unique mission. Better for your people. Better for your bottom line. Better for the planet. We’re helping to create a healthy planet with solutions that decrease energy use, reduce waste and make carbon neutrality a reality. Sustainability is a top priority for our company. We committed to invest 75 percent of new product development R&amp;D in climate-related innovation to develop sustainable products and services. We take sustainability seriously. Achieving net zero carbon emissions before 2040 is just one of our commitments to making the world a better place. Please visit and follow Johnson Controls LinkedIn for recent exciting activities.Why JCI: <a href="https://www.youtube.com/watch?v=nrbigjbpxkg" rel="noopener noreferrer" target="_blank">https://www.youtube.com/watch?v=nrbigjbpxkg</a>Asia-Pacific LinkedIn: <a href="https://www.linkedin.com/showcase/johnson-controls-asia-pacific/posts/?feedView=all" rel="noopener noreferrer" target="_blank">https://www.linkedin.com/showcase/johnson-controls-asia-pacific/posts/?feedView=all</a>Career: <a href="https://www.youtube.com/watch?v=EwhAYCz6x_4" rel="noopener noreferrer" target="_blank">The Power Behind Your Mission</a>OpenBlue: <a href="https://www.youtube.com/watch?v=bFbZIj0Sj6Y" rel="noopener noreferrer" target="_blank">This is How a Space Comes Alive</a>How will you do it?JCI is looking for a highly skilled Business Intelligence Senior Specialist to join Order to Cash (OTC/O2C) Global Reporting team. The successful candidate will have extensive experience in data analysis, reporting, and business intelligence tools, with a particular focus on optimizing and enhancing our O2C reporting capabilities. You will collaborate with cross-functional teams to provide insights and drive data-driven decision-making.<ul><li>Johnson Controls is seeking an experienced Ops Data Analyst to join our team in Gurgaon. The successful candidate will be responsible for analyzing complex datasets to support decision-making processes and drive operational improvements. </li><li>Gather and process data from various sources to facilitate business analysis and reporting.</li><li>Utilize statistical techniques to identify trends, patterns, and anomalies in operational data.</li><li>Create and maintain dashboards and reports to provide actionable insights to management.</li><li>Collaborate with cross-functional teams to understand business requirements and deliver relevant analytical solutions.</li><li>Assist in the development and implementation of data collection systems and strategies to enhance data quality.</li><li>Perform ad-hoc analyses to identify opportunities for process improvement</li><li>Translate business needs into data solutions to support operational and financial performance improvement.</li><li>Automate recurring reporting tasks and support continuous improvement of data pipelines and processes</li></ul>What we look for?<ul><li>Postgraduate / master’s degree in data science, Statistics, Computer Science, or a related field.</li><li>5-8 years of experience in data analytics within an operations context.</li><li>Strong proficiency in SQL and experience with data visualization tools (e.g., Power BI, Tableau).</li><li>Expertise in statistical analysis and data modeling techniques.</li><li>Excellent analytical and problem-solving skills with a keen attention to detail.</li><li>Strong communication skills to effectively present findings and insights to stakeholders.</li><li>Experience in the Order to Cash process or related operations.</li><li>Familiarity with ERP systems such as SAP or Oracle.</li><li>Ability to work independently and manage multiple projects simultaneously.</li><li>Snowflake, OneStream, Python, or similar platforms is a plus.</li></ul>What we offer:We offer an exciting and challenging position. Joining us you will become part of a leading global multi-industrial corporation defined by its stimulating work environment and job satisfaction. In addition, we offer outstanding career development opportunities which will stretch your abilities and channel your talentsDiversity &amp; Inclusion Our dedication to diversity and inclusion starts with our values. We lead with integrity and purpose, focusing on the future and aligning with our customers’ vision for success. Our High-Performance Culture ensures that we have the best talent that is highly engaged and eager to innovate.  Our D&amp;I mission elevates each employee’s responsibility to contribute to our culture. It’s through these contributions that we’ll drive the mindsets and behaviors we need to power our customers’ missions. You have the power. You have the voice. You have the culture in your hands<h4>Experience Level</h4>Mid Level

Johnson Controls Ltd

Business Intelligence Analyst

EY-GDS Consulting-AI and DATA- Shiny R Developer- SeniorAt EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.     EY-Consulting - Data and Analytics – Senior- Shiny R DeveloperEY's Consulting Services is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional and technical capabilities and product knowledge. EY’s financial services practice provides integrated Consulting services to financial institutions and other capital markets participants, including commercial banks, retail banks, investment banks, broker-dealers &amp; asset management firms, and insurance firms from leading Fortune 500 Companies. Within EY’s Consulting Practice, Data and Analytics team solves big, complex issues and capitalize on opportunities to deliver better working outcomes that help expand and safeguard the businesses, now and in the future. This way we help create a compelling business case for embedding the right analytical practice at the heart of client’s decision-making. The opportunityEY is seeking a talented and experienced Shiny R Developer to join our dynamic team. The ideal candidate will have a strong background in R programming and Shiny application development, with a proven track record of delivering high-quality solutions for real-world use cases. Experience3- 7 years of experience. Skills and attributes for success<ul><li>Minimum 2 years of hands-on experienced with basic and advanced R and experience in writing R modules</li><li>Minimum 1 year of hands-on experience with Shiny for R/POSIT, developing applications for real use-cases</li><li>Experience using gargoyle, r6 classes, ggplot, dplyr</li><li>Experience using DBI for postgres db interaction</li><li>Experience with testing tool "testthat" and working with websockets</li></ul> What we look for<ul><li>A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment</li><li>An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide.</li><li>Opportunities to work with EY Consulting practices globally with leading businesses across a range of industries</li></ul> What working at EY offersAt EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are.You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:<ul><li>Support, coaching and feedback from some of the most engaging colleagues around</li><li>Opportunities to develop new skills and progress your career</li><li>The freedom and flexibility to handle your role in a way that’s right for you</li><li> </li></ul> EY | Building a better working world    EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.     Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.     Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.  <h4>Experience Level</h4>Senior Level

Ernst & Young LLP ( EY India )

Research Analyst

Data Scientist 3At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world.In the OCI AI Science org, we are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. As a Data Scientist III, you will play a key role in developing large-scale datasets leveraging Machine learning and Generative AI to train Generative AI models. You will work closely with scientists, engineers, and product teams to design benchmarking frameworks, ensure the highest standards of model and data quality.  Key Responsibilities:<ul><li>Design and develop large-scale datasets to power generative AI models in multimodal domains (e.g., text, vision, speech), with a focus on synthetic data creation.</li><li>Build robust pipelines and tooling for data acquisition, cleaning, transformation, and quality assurance to support model training and evaluation.</li><li>Research, implement, and adapt cutting-edge techniques (e.g., fine-tuning, RLHF, data augmentation) to align generative models with domain-specific needs.</li><li>Curate and annotate datasets, ensuring diversity, representativeness, and compliance with responsible AI practices. </li><li>Evaluate open-source and research models, integrating best practices into data generation workflows. </li><li>Collaborate with engineering teams to ensure datasets and synthetic data pipelines are scalable, reliable, and production ready.</li><li>Develop metrics and benchmarking frameworks to assess data quality, model alignment, and downstream impact across modalities.</li><li>Partner cross-functionally with product, research, and infrastructure teams to drive innovation in data preparation and generative AI applications.</li></ul>Qualification and Skills:<ul><li>Bachelors or Master’s in Computer Science, Data Science, AI/ML, or related field with 3+ years of industry experience.</li><li>Proficiency in Python and solid foundation in applied ML methods.</li><li>Proficiency with Pytorch, Torchvision, OpenCV, and similar, as well as building and deploying DNN models in production. </li><li>Experience building large-scale data pipelines for acquisition, cleaning, augmentation, and validation.</li><li>Ability to evaluate datasets for distribution, diversity, anomalies and fairness to assess overall quality and suitability for generative AI.</li><li>Experience with Computer Vision, NLP, Transformers, Large Language Models, Generative AI, optimizations around LLM training and serving. Experience with multimodal models a bonus.</li><li>Proven track record of delivering scalable, data-centric ML solutions. </li></ul>Career Level - IC3As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing <a href="mailto:accommodation-request_mb@oracle.com" rel="nofollow" target="_blank">accommodation-request_mb@oracle.com</a> or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. <h4>Experience Level</h4>Mid Level

Oracle India Private Limited

Quant Analytics Associate SeniorWe have an exciting opportunity for you to advance your career in AI and data analytics.As a Quant Analytics Senior Associate within the Data Analytics team, you will design, develop, and deploy AI solutions for Chase Travel. You will collaborate with various teams to create AI applications, focusing on natural language processes and information extraction, to drive analytics insights and support the AI roadmap.Job Responsibilities<ul><li>Organize, update, and maintain data to support engineering and analytics functions.</li><li>Develop enterprise data models and large-scale data processing pipelines.</li><li>Collaborate with cross-functional teams to translate business objectives into AI solutions.</li><li>Act as a data expert, providing insights and recommendations to account teams.</li><li>Develop dashboards and reports using SAS Visual Analytics, QlikSense, and Tableau.</li><li>Assist AI Product teams by providing analytics and guidance for the AI roadmap.</li><li>Identify and track data points for post-release analysis of AI initiatives.</li></ul>Required Qualifications, Capabilities, and Skills<ul><li>Bachelor’s degree in Business Analytics, Data Science, Computer Science, Information Systems, or related field.</li><li>Strong analytical and problem-solving skills with attention to detail.</li><li>7+ years of experience in designing and implementing data models and analytic solutions.</li><li>Experience with ETL/ELT processes in cloud-based data lake platforms like AWS, Azure, or Snowflake.</li><li>Proficient in SQL, Python, and Alteryx for data analysis and engineering.</li><li>Experience with data models and reporting packages like SAS Visual Analytics, QlikSense, or Tableau.</li><li>Effective verbal and written communication skills.</li></ul>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Mid Level

JP Morgan Services India Pvt Ltd

Junior Analyst

Quant Analytics Associate SeniorWe have an exciting opportunity for you to advance your career in AI and data analytics.As a Quant Analytics Senior Associate within the Data Analytics team, you will design, develop, and deploy AI solutions for Chase Travel. You will collaborate with various teams to create AI applications, focusing on natural language processes and information extraction, to drive analytics insights and support the AI roadmap.Job Responsibilities<ul><li>Organize, update, and maintain data to support engineering and analytics functions.</li><li>Develop enterprise data models and large-scale data processing pipelines.</li><li>Collaborate with cross-functional teams to translate business objectives into AI solutions.</li><li>Act as a data expert, providing insights and recommendations to account teams.</li><li>Develop dashboards and reports using SAS Visual Analytics, QlikSense, and Tableau.</li><li>Assist AI Product teams by providing analytics and guidance for the AI roadmap.</li><li>Identify and track data points for post-release analysis of AI initiatives.</li></ul>Required Qualifications, Capabilities, and Skills<ul><li>Bachelor’s degree in Business Analytics, Data Science, Computer Science, Information Systems, or related field.</li><li>Strong analytical and problem-solving skills with attention to detail.</li><li>6+ years of experience in designing and implementing data models and analytic solutions.</li><li>Experience with ETL/ELT processes in cloud-based data lake platforms like AWS, Azure, or Snowflake.</li><li>Proficient in SQL, Python, and Alteryx for data analysis and engineering.</li><li>Experience with data models and reporting packages like SAS Visual Analytics, QlikSense, or Tableau.</li><li>Effective verbal and written communication skills.</li></ul>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Mid Level

Senior Analyst

Quant Analytics ManagerJoin us to lead innovative AI solutions and elevate your career in data analytics.As a Quant Manager within the Data Analytics team, you will spearhead the design, development, and deployment of AI solutions for Chase Travel. You will lead a team to deliver high-quality data engineering and analytics solutions, focusing on natural language processes and AI impact evaluation.Job Responsibilities<ul><li>Lead and mentor a team of data engineers and analysts, fostering continuous learning.</li><li>Design, develop, and maintain large-scale data processing pipelines for optimal performance.</li><li>Collaborate with cross-functional teams to translate business objectives into AI solutions.</li><li>Serve as a data expert, providing guidance to account teams and stakeholders.</li><li>Develop advanced dashboards and reports using SAS Visual Analytics, QlikSense, and Tableau.</li><li>Partner with AI Product teams to drive the AI roadmap and strategic decisions.</li><li>Identify and collect critical data points for post-release analysis of AI initiatives.</li></ul>Required Qualifications, Capabilities, and Skills<ul><li>Bachelor’s degree in Business Analytics, Data Science, Computer Science, or related field.</li><li>Strong analytical skills with the ability to uncover insights from business and data contexts.</li><li>8+ years of experience in data models and analytic solutions, focusing on leadership roles.</li><li>Extensive experience with ETL/ELT processes in cloud-based data lake platforms.</li><li>Proficiency in SQL, Python, and Alteryx for data analysis and transformation.</li><li>Expertise in SAS Visual Analytics, QlikSense, and Tableau.</li><li>Exceptional communication skills for effective stakeholder collaboration.</li><li>Proven ability to manage multiple large-scale projects simultaneously.</li></ul>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Senior Level

Analyst

Data Scientist 4At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world.In the OCI AI Science org we are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. As a Data Scientist IV, you will lead the development of large-scale datasets and leverage machine learning and generative AI to advance Generative AI models. You will drive the design of benchmarking frameworks, define best practices for data quality and fairness, and partner with scientists, engineers, and product leaders to shape the org’s data strategy.  Key Responsibilities: <ul><li>Lead the design, development, and scaling of large, high-quality datasets to advance generative AI models in multimodal domains (e.g., text, vision, speech). </li><li>Define data standards and best practices for acquisition, cleaning, augmentation, annotation, and evaluation to ensure fairness, diversity, and representativeness. </li><li>Guide the integration of cutting-edge techniques (e.g., fine-tuning, RLHF, domain adaptation) into data generation and model alignment pipelines.</li><li>Provide technical leadership in building scalable, reliable data pipelines and synthetic data platforms for production environments. </li><li>Evaluate and operationalize research innovations, shaping how data preparation and generative AI methods transition into production-ready solutions.</li><li>Partner with research, engineering, and product leaders to define long-term data strategy and accelerate the adoption of generative AI solutions at scale.</li><li>Mentor and provide thought leadership to scientists and engineers, fostering a culture of data excellence and innovation</li></ul>Qualifications and Skills:<ul><li>Bachelors or Master’s in Computer Science, Data Science, AI/ML, or related field with 6+ years of industry experience. </li><li>Proficiency in Python and solid foundation in applied ML methods. </li><li>Proficiency with Pytorch, Torchvision, OpenCV, and similar, as well as building and deploying DNN models in production.</li><li>Experience building large-scale data pipelines for acquisition, cleaning, augmentation, and validation. </li><li>Ability to evaluate datasets for distribution, diversity, anomalies and fairness to assess overall quality and suitability for generative AI.</li><li>Experience with Computer Vision, NLP, Transformers, Large Language Models, Generative AI, optimizations around LLM training and serving. Experience with Multimodal models a bonus. </li><li>Familiarity with advanced techniques (e.g., RLHF, domain adaptation, data augmentation) and their application in generative AI workflows. </li><li>Proven track record of delivering scalable, data-centric ML solutions.</li><li>Excellent communication and leadership skills, with experience mentoring junior scientists/engineers and presenting technical strategies to senior stakeholders. </li></ul>Career Level - IC4As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing <a href="mailto:accommodation-request_mb@oracle.com" rel="nofollow" target="_blank">accommodation-request_mb@oracle.com</a> or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. <h4>Experience Level</h4>Senior Level

Lead Analytics SpecialistRazorpay was founded by<a href="https://www.linkedin.com/in/kumarshashank/" target="_blank"> Shashank Kumar</a> and<a href="https://www.linkedin.com/in/harshilmathur/" target="_blank"> Harshil Mathur</a> in 2014. Razorpay is building a new-age digital banking hub (Neobank) for businesses in India with the mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes. What started as a B2B payments company is processing billions of dollars of payments for lakhs of businesses across India. We are a full-stack financial services organisation, committed to helping Indian businesses with comprehensive and innovative payment and business banking solutions built over robust technology to address the entire length and breadth of the payment and banking journey for any business. Over the past year, we've disbursed loans worth millions of dollars in loans to thousands of businesses. In parallel, Razorpay is reimagining how businesses manage money by simplifying business banking (via<a href="https://razorpay.com/x/" target="_blank"> Razorpay X</a>) and enabling capital availability for businesses (via<a href="https://razorpay.com/capital/" target="_blank"> Razorpay Capital</a>). The Role:Lead Analytics Specialist will work with the central analytics team at Razorpay. This will give you an opportunity to work in a fast-paced environment aimed at creating a very high impact and to work with a diverse team of smart and hardworking professionals from various backgrounds. Some of the responsibilities include working with large, complex data sets, developing strong business and product understanding and closely being involved in the product life cycle. Setting high standards in project management and mentoring analysts.Roles and Responsibilities:<ul><li>You will work with large, complex data sets to solve open-ended, high impact business problems using data mining, experimentation, statistical analysis and related techniques, machine learning as needed</li><li>You would have/develop a strong understanding of the business &amp; product and conduct analysis to derive insights, develop hypothesis and validate with sound rigorous methodologies or formulate the problems for modeling with ML</li><li>You would apply excellent problem solving skills and independently scope, deconstruct and formulate solutions from first-principles that bring outside-in and state of the art view</li><li>You would be closely involved with the product life cycle working on ideation, reviewing Product Requirement Documents, defining success criteria, instrumenting for product features, Impact assessment and identifying and recommending improvements to further enhance the Product features</li><li>You would expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms</li><li>You will develop compelling stories with business insights, focusing on strategic goals of the organization</li><li>You will work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness</li><li>Set high standards in project management; own scope and timelines for the team</li><li>Take responsibility for skill-building within the organization (training, process definition, research of new tools and techniques etc.)</li><li>Mentoring analysts within the team to deliver effectively, incubating new ideas.</li></ul>Mandatory Qualifications:<ul><li>Bachelor's/Master’s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field</li><li>5-7 years of high quality hands-on experience in analytics and data science</li><li>Hands on experience in SQL and Python</li><li>Define the business and product metrics to be evaluated, work with engg on data instrumentation, create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau, Qlikview, Looker etc.</li><li>Ability to structure and analyze data leveraging techniques like EDA, Cohort analysis, Funnel analysis and transform them into understandable and actionable recommendations and then communicate them effectively across the organization.</li><li>Hands on experience in working with large scale structured, semi structured and unstructured data and various approach to preprocess/cleanse data, dimensionality reduction</li><li>Work experience in Consumer-tech organizations would be a plus</li><li>Developed a clear understanding of the qualitative and quantitative aspects of the product/strategic initiative and leverage it to identify and act upon existing Gaps and Opportunities</li><li>Hands on experience of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning</li></ul>Razorpay believes in and follows an equal employment opportunity policy that doesn't discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe.  Follow us on <a href="https://www.linkedin.com/company/razorpay/mycompany/" target="_blank">LinkedIn</a> &amp; <a href="https://twitter.com/Razorpay" target="_blank">Twitter</a><h4>Experience Level</h4>Senior Level

Razorpay Software Pvt Ltd

Lead Generation Specialist

Quant Analytics AssociateWe have an exciting opportunity for you to advance your career in AI and data analytics.As a Quant Analytics Associate within the Data Analytics team, you will design, develop, and deploy AI solutions for Chase Travel. You will collaborate with various teams to create AI applications, focusing on natural language processes and information extraction, to drive analytics insights and support the AI roadmap.Job Responsibilities<ul><li>Organize, update, and maintain data to support engineering and analytics functions.</li><li>Develop enterprise data models and large-scale data processing pipelines.</li><li>Collaborate with cross-functional teams to translate business objectives into AI solutions.</li><li>Act as a data expert, providing insights and recommendations to account teams.</li><li>Develop dashboards and reports using SAS Visual Analytics, QlikSense, and Tableau.</li><li>Assist AI Product teams by providing analytics and guidance for the AI roadmap.</li><li>Identify and track data points for post-release analysis of AI initiatives.</li></ul>Required Qualifications, Capabilities, and Skills<ul><li>Bachelor’s degree in Business Analytics, Data Science, Computer Science, Information Systems, or related field.</li><li>Strong analytical and problem-solving skills with attention to detail.</li><li>4+ years of experience in designing and implementing data models and analytic solutions.</li><li>Experience with ETL/ELT processes in cloud-based data lake platforms like AWS, Azure, or Snowflake.</li><li>Proficient in SQL, Python, and Alteryx for data analysis and engineering.</li><li>Experience with data models and reporting packages like SAS Visual Analytics, QlikSense, or Tableau.</li><li>Effective verbal and written communication skills.</li></ul>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Mid Level

Aptitude Specialist

Senior Director - RNA<h4>Company Description</h4>WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees.<h4>Job Description</h4>About the Role:We are seeking an experienced and visionary Sr. Director – Analytics to lead our analytics strategy and execution, focusing on driving value for Hi-Tech Professional Services and Loyalty accounts. This leadership role is central to shaping our data-driven decision-making culture, enabling actionable insights, and delivering measurable impact across client engagements.As a senior leader, you will oversee advanced analytics initiatives, build high-performing teams, and partner closely with business stakeholders to develop innovative solutions that enhance customer engagement, operational efficiency, and business growth.Key Responsibilities:Lead the development and execution of analytics strategies for Hi-Tech Professional Services and Loyalty programs, ensuring alignment with business objectives.Build and manage a high-performing analytics team, fostering a culture of curiosity, innovation, and continuous learning.Collaborate closely with business leaders, account teams, and clients to understand objectives and deliver actionable insights.Design and oversee delivery of advanced analytics solutions, including predictive modeling, customer segmentation, churn analysis, and personalization strategies.Leverage data visualization tools to create intuitive dashboards and storytelling outputs for executive and operational consumption.Drive the operationalization of analytics insights into client workflows, maximizing adoption and business impact.Establish governance frameworks for data quality, security, and compliance across all analytics initiatives.Stay ahead of industry trends, emerging technologies, and best practices to continuously enhance our analytics capabilities.Manage vendor and partner relationships to bring in cutting-edge tools and solutions.Present findings, insights, and recommendations to C-level executives and client stakeholders in a clear and compelling manner.Key Requirements:15+ years of experience in analytics leadership roles, with demonstrated success in managing large, complex analytics programs.Proven expertise in Hi-Tech Professional Services environments and Loyalty account analytics.Strong understanding of customer lifecycle analytics, loyalty metrics, customer segmentation, and personalization at scale.Proficiency in advanced analytics techniques including predictive modeling, statistical analysis, and data mining.Hands-on experience with analytics tools and platforms (e.g., Python, R, SQL, Tableau, Power BI, Google Analytics, Adobe Analytics).Experience with cloud-based data and analytics environments (e.g., AWS, Azure, GCP).Excellent leadership and people management skills, with experience growing and mentoring diverse teams.Exceptional communication and storytelling abilities, with a track record of influencing senior stakeholders.Bachelor's or Master’s degree in Data Science, Statistics, Business Analytics, or a related field. Advanced certifications are a plus.What We Offer:Leadership role with high visibility and strategic influence.Opportunity to shape the analytics roadmap for marquee accounts.Collaborative and high-growth environment.Competitive compensation and benefits package.<h4>Qualifications</h4>Prior experience delivering analytics solutions for global clients in the Hi-Tech sector.Familiarity with AI/ML applications in customer engagement and loyalty optimization.Experience in Agile environments and cross-functional collaboration.Ability to manage multi-million-dollar programs and deliver business impact at scale<h4>Experience Level</h4>Executive Level

WNS Global Services Pvt Ltd

Senior Business Analyst

IN_Senior Associate_ AWS Data Engineer_D&A_Advisory_PAN IndiaLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.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:Design and build data pipelines &amp; Data lakes to automate ingestion of structured and unstructured data that provide fast, optimized, and robust end-to-end solutions Knowledge about the concepts of data lake and dat warehouse Experience working with AWS big data technologies Improve the data quality and reliability of data pipelines through monitoring, validation and failure detection. Deploy and configure components to production environments Technology: Redshift, S3, AWS Glue, Lambda, SQL, PySpark, SQLMandatory skill sets:AWS Data EngineerPreferred skill sets:AWS Data EngineerYears of experience required:4-8 yearsEducation qualification:Btech/MBA/MCAEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Master Degree, Bachelor DegreeDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsData EngineeringOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 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 )

Cloud Engineer

Senior Data Scientist Work on transformative projects in:<ul><li>Generative AI</li><li>MLOps</li><li>Predictive Analytics</li><li>Machine Learning</li><li>Collaborate with brilliant minds in an innovation-driven, inclusive culture</li><li>Unmatched growth opportunities + access to cutting-edge tools</li></ul> What We’re Looking For:<ul><li>Proven expertise in Generative AI &amp; MLOps</li><li>Strong problem-solving &amp; analytical thinking</li><li>Hands-on experience with top AI/ML frameworks</li><li>Experience - 5–9 years</li></ul> What’s in It for You?<ul><li>Solve high-impact challenges in healthcare, finance, retail, and more</li><li>Be part of a global leader in digital transformation</li><li>Thrive in a culture of creativity, learning, and growth</li></ul> Share your updated resume now.

Publicis Sapient Consulting Pvt Ltd

Senior Associate Data Analytics L2 The Senior Associate Data Analytics you’ll be thinking and delivery across multiple accounts leveraging your deep experience in data solutions to ensure success. you’ll be a lead in developing and driving our team and our business to get the most out of data. You’ll push thinking and delivery across multiple accounts leveraging your deep experience in data solutions to ensure success. The ideal applicants will be eager to help on a variety of projects and be continuously&nbsp;looking to grow their skills&nbsp;Your Impact:<ul><li>Delivering analytics and optimization solutions</li><li>Lead business requirement conversations with external partners to understand their business requirements and articulate those into measurable KPIs.</li><li>Creating experiences within optimization tools or connecting with CRM developed experiences</li><li>Designing end-to-end analytics solutions to convert requirements to Solution Design Reference (SDR), define data layer and tagging guides for analytics and marketing tools</li><li>Creating and maintaining Adobe Analytics JavaScript tags and plugins and be able to validate and debug using relevant debugging tools.</li><li>Understanding of Adobe Marketing stack and how various tools work together to build data driven businesses</li></ul> QualificationsYour Skills &amp; Experience:<ul><li>Minimum 3 years of experience in Analytics implementation</li><li>Hands-on experience with Adobe analytics, AT&amp;T, and optimizes.</li><li>Working knowledge of Adobe Launch.</li><li>Strong experience in at least the programming languages Java Scripts, HTML, R, and Python Hands-on working knowledge of Adobe (AAM) Salesforce (Krux)</li><li>Well-versed and working knowledge with Adobe Report builder, Workspace, GA console</li><li>Testing tool experience on Omnibug, Httpfox</li><li>Bachelor’s degree and year of work experience of 6 to 8 years or any combination of education, training, and/or experience that demonstrates the ability to perform the duties of the position</li></ul> Set Yourself Apart With:<ul><li>Good knowledge of web trends and core metrics</li><li>Knowledge of tag management tools like Tealium/Ensighten</li><li>Knowledge of BI Tools Tableau, Power BI, Google Data Studio, Qlikview, Datorama</li><li>Cloud knowledge on GCP/Azure/AWS</li></ul>

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