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Data Science Gen AI - ConsultantData Science: ConsultantExperience: 4+ yearsRequirement:<ul><li>Bachelor’s Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 4+ years of relevant experience in Machine Learning, Statistics.</li><li>Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.</li></ul> Must have Skills and Experience<ul><li>Excellent communication skill and should be able to frame problem statement into analytical approaches</li><li>4+ years of experience in AI/machine learning, with a focus on generative models</li><li>Strong in exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.</li><li>Strong programming experience in Python, SQL Should have experience of working with open-source packages &amp; commercial/enterprise applications. </li><li>Excellent in machine learning, statistical methods, such as regression, classification, clustering, ensemble &amp; tree-based models, time-series analysis with hands on experience on some of them.</li><li>Familiarity with NLP concepts.</li></ul> Data Science: ConsultantExperience: 4+ yearsRequirement:<ul><li>Bachelor’s Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 4+ years of relevant experience in Machine Learning, Statistics.</li><li>Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.</li></ul> Must have Skills and Experience<ul><li>Excellent communication skill and should be able to frame problem statement into analytical approaches</li><li>4+ years of experience in AI/machine learning, with a focus on generative models</li><li>Strong in exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.</li><li>Strong programming experience in Python, SQL Should have experience of working with open-source packages &amp; commercial/enterprise applications. </li><li>Excellent in machine learning, statistical methods, such as regression, classification, clustering, ensemble &amp; tree-based models, time-series analysis with hands on experience on some of them.</li><li>Familiarity with NLP concepts.</li></ul> Data Science: ConsultantExperience: 4+ yearsRequirement:<ul><li>Bachelor’s Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 4+ years of relevant experience in Machine Learning, Statistics.</li><li>Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.</li></ul> Must have Skills and Experience<ul><li>Excellent communication skill and should be able to frame problem statement into analytical approaches</li><li>4+ years of experience in AI/machine learning, with a focus on generative models</li><li>Strong in exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.</li><li>Strong programming experience in Python, SQL Should have experience of working with open-source packages &amp; commercial/enterprise applications. </li><li>Excellent in machine learning, statistical methods, such as regression, classification, clustering, ensemble &amp; tree-based models, time-series analysis with hands on experience on some of them.</li><li>Familiarity with NLP concepts.</li></ul>

Kpmg India Services Llp

Data Science Intern

Sr Machine Learning ScientistThe CompanyPayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.  Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day.  We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.Job Summary:What you need to know about the role- PayPal Lending ML team is looking for an experienced Machine Learning Scientist to help us develop and enhance machine learning/AI capabilities and innovate to grow PP Credit products. This is an excellent opportunity to join a team of intelligent and passionate engineers and scientists and to help shape the future of the Lending Business at PayPal. Meet our team PayPal Lending ML team is responsible for building ML/AI solutions that drive impact across PayPal. We build innovative solutions that interact with customers throughout the lending lifecycle with a strong focus on driving PP growth and business.Job Description:Your way to impact  <ul><li>Identify AI ML opportunities and build solutions that impact the business  </li></ul><ul><li>Explore and execute to get solid results </li></ul><ul><li>Impact team, partners and business through PayPal values </li></ul>Your day to day  In your day to day role you will  <ul><li>Lead ML Projects and Conduct research to identify new and innovative ML techniques.  </li></ul><ul><li>Innovate to create efficiencies for the team and the business. </li></ul><ul><li>Work closely with other engineers, analysts and leaders to implement and optimize ML models. </li></ul><ul><li>Develop and implement best practices for ML model management, deployment, and monitoring.  </li></ul><ul><li>Collaborate with other teams to ensure ML models are integrated into the product and services. </li></ul><ul><li>Assist with troubleshooting and resolving technical issues. </li></ul><ul><li>Responsible for documentation, project tracking, and quality controls. </li></ul>What do you need to bring-  <ul><li>The ideal candidate will possess a degree in engineering, science, statistics or mathematics with strong technical background in machine learning.  </li></ul><ul><li>We are looking for candidates who have excellent communication skills, an analytical mindset, and a passion for problem-solving.  </li></ul><ul><li>6+ years of hands-on experience with problem-solving using Machine Learning </li></ul><ul><li>Hands-on experience with Python or Java, along with relevant technologies such as Spark, Hadoop, BigQuery, SQL, is required. </li></ul><ul><li>Candidates should have in-depth knowledge of machine learning algorithms, explainable AI methods, GenAI and NLP.  </li></ul><ul><li>Experience with Cloud frameworks such as GCP, AWS is preferred.  </li></ul><ul><li>Experience with Lending and Financial services is a plus. </li></ul>Preferred Qualification:Subsidiary:PayPalTravel Percent:0PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit <a href="https://careers.pypl.com/contact-us" rel="noopener noreferrer" target="_blank">https://careers.pypl.com/contact-us</a>.For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit <a href="https://www.paypalbenefits.com/" rel="noopener noreferrer" target="_blank">https://www.paypalbenefits.com</a>.Who We Are:<a href="https://about.pypl.com/who-we-are/default.aspx" rel="noopener noreferrer" target="_blank">Click Here</a> to learn more about our culture and community.Commitment to Diversity and Inclusion  PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law.  In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities.  If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at <a href="mailto:paypalglobaltalentacquisition@paypal.com" rel="noopener noreferrer" target="_blank">paypalglobaltalentacquisition@paypal.com</a>.  Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.Any general requests for consideration of your skills, please <a href="https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpaypal.eightfold.ai%2Fcareers%2Fjoin%3Fdomain%3Dpaypal.com&amp;data=05%7C01%7Chmouchel%40paypal.com%7C896c661e48224f2f6c0608db51a99675%7Cfb00791460204374977e21bac5f3f4c8%7C0%7C0%7C638193561037230485%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=iYNNAXZqfoYTLGNP79IEWsPoYxBR8lE1%2BqNN6c2Kmnk%3D&amp;reserved=0" rel="noopener noreferrer" target="_blank">Join our Talent Community</a>. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.<h4>Experience Level</h4>Senior Level

Paypal India Pvt Ltd

Data Annotation Engineer

Manager - Data Analytics<ul><li>Develop and deploy advanced analytical models to address complex business challenges.</li><li>Collaborate with teams to translate business requirements into actionable data solutions.</li><li>Design and optimize scalable data pipelines and architectures for efficient data processing.</li><li>Perform exploratory data analysis to uncover trends and actionable insights.</li><li>Implement machine learning algorithms to create predictive models and drive outcomes.</li><li>Present insights and recommendations through clear visualizations and reports.</li><li>Mentor junior team members, promoting growth and knowledge sharing.</li><li>Stay abreast of emerging trends and technologies in data science and analytics.</li></ul><h4>Experience Level</h4>Mid Level

Mahindra And Mahindra Limited

Data Analyst

Business Analyst(2-4 years)About PhonePe Limited:Headquartered in India, its flagship product, the PhonePe digital payments app, was launched in Aug 2016. As of April 2025, PhonePe has over 60 Crore (600 Million) registered users and a digital payments acceptance network spread across over 4 Crore (40+ million) merchants. PhonePe also processes over 33 Crore (330+ Million) transactions daily with an Annualized Total Payment Value (TPV) of over INR 150 lakh crore.  PhonePe’s portfolio of businesses includes the distribution of financial products (Insurance, Lending, and Wealth) as well as new consumer tech businesses (Pincode - hyperlocal e-commerce and Indus AppStore Localized App Store for the Android ecosystem) in India, which are aligned with the company’s vision to offer every Indian an equal opportunity to accelerate their progress by unlocking the flow of money and access to services. Culture:At PhonePe, we go the extra mile to make sure you can bring your best self to work, Everyday!. And that starts with creating the right environment for you. We empower people and trust them to do the right  thing. Here, you own your work from start to finish, right from day one. PhonePe-rs solve complex problems and execute quickly; often building frameworks from scratch. If you’re excited by the idea of building platforms that touch millions, ideating with some of  the best minds in the country and executing on your dreams with purpose and speed, join us!Role: Business Analyst Experience Bucket (2 to 4 years)What would you get to do in this role?<ul><li>Be an integral part of the pod strategy and will have to define the critical metrics. You’ll also monitor performance trends and influence any interventions, based on performance.</li><li>Collaborate closely with the business, and product functions to understand the business problem and translate them into the right analytical problem statement</li><li>Own the entire insight generation phase and work on deep, thorough analysis to provide unbiased answers on the identified problem statement. These insights and decisions will be influenced based on your presentation of the evidence, backed by data-driven hypothesis.</li><li>Move past just being the “Data person” and contribute with individual thoughts on how to improve the critical metrics for the pod. We love people who think of themselves as the business owner and then go back to the data to prove or disprove the thought.</li><li>Act as the analytics and visualization SME for the team and ensure that the dashboards are designed and built in a way that makes it easy for the pod to consume the data they need.</li><li>Mentor other analysts in the team; play an active role in hiring process &amp; new team members’ onboarding process</li></ul> What do you need to have to apply for this position?<ul><li>Minimum 2 years of analytics experience in relevant roles</li><li>Strong problem solving &amp; analytical skills</li><li>Penchant for business &amp; curiosity to understand how the product works</li><li>Ability to write complex queries on SQL to manipulate, consolidate multiple data sources for the purpose of dashboarding and analysis.</li><li>Intuition for data and ability to handle big data sources.</li><li>Strong working knowledge in Excel and visualization tools like PowerBI, Tableau, QlikView</li><li>Understanding of data-analysis languages such as R, Python and in core statistical concepts is expected; Experience in building ML models is good-to-have, but not mandatory</li><li>Ability to clearly explain thoughts and ideas either verbally or in the written form.</li><li>Candidates who are able to explain the story behind their analysis will find themselves at an advantage.</li></ul>PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles)<ul><li>Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance</li><li>Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System</li><li>Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program</li><li>Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy</li><li>Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment </li><li>Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy</li></ul> Our inclusive culture promotes individual expression, creativity, innovation, and achievement and in turn helps us better understand and serve our customers. We see ourselves as a place for intellectual curiosity,  ideas and debates, where diverse perspectives lead to deeper understanding and better quality results. PhonePe is an equal opportunity employer and is committed to treating all its employees and job applicants equally; regardless of  gender, sexual preference, religion, race, color or disability. If you have a disability or special need that requires assistance or reasonable accommodation, during the application and hiring process, including support for the interview or onboarding process, <a href="https://docs.google.com/forms/d/e/1FAIpQLSc-ETchy2LsQ_DjlNXOUcGfI182DnA533YZTLfVw5TkJH-Stw/viewform">please fill out this form.</a>Read more about PhonePe<a href="https://www.phonepe.com/blog/"> on our blog</a>.<a href="https://www.phonepe.com/blog/life-at-phonepe/">Life at PhonePe</a><a href="https://www.phonepe.com/press/">PhonePe in the news</a><h4>Experience Level</h4>Mid Level

PhonePe

Business Analyst

Data Scientist – ML / AI-SystemsWhat if the work you did every day could impact the lives of people you know? Or all of humanity?At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients.Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.<h4>Position Summary</h4><h4>We are seeking a talented and driven Data Scientist to join our dynamic team at Illumina. In this role, you will collaborate with cross-functional teams of scientists, engineers, and bioinformaticians to analyze complex biological data, develop advanced models, and deliver actionable insights that propel Illumina’s research, development, and commercial objectives. Your work will directly support initiatives across genomics, clinical applications, and product development, helping to shape the future of personalized medicine and health care.</h4><h4>Key Responsibilities</h4><ul><li><h4>Design, develop, and implement robust statistical models, machine learning algorithms, and analytical pipelines.</h4></li><li><h4>Partner with internal teams—including research, product, informatics, and engineering—to define project goals, data needs, and analytical approaches that align with Illumina’s strategic objectives.</h4></li><li><h4>Apply data mining and predictive modeling techniques to identify patterns, trends, and correlations in diverse datasets (e.g., sequencing data, clinical outcomes, operational metrics).</h4></li><li><h4>Evaluate and validate model performance, ensuring reproducibility, scalability, and reliability of analytical solutions.</h4></li><li><h4>Collaborate with software engineers to deploy analytical tools and integrate models into production-grade software platforms for internal and customer-facing applications.</h4></li><li><h4>Communicate complex data-driven findings clearly and effectively to both technical and non-technical stakeholders through presentations, documentation, and visualizations.</h4></li><li><h4>Stay current with emerging trends, tools, and best practices in data science, machine learning, and computational biology; continuously seek opportunities to improve processes and outcomes.</h4></li><li><h4>Contribute to the publication and dissemination of results in peer-reviewed journals, conferences, and internal reports as appropriate.</h4></li><li><h4>Collaborate with AI-systems designers to implement LLM driven solutions in support of enterprise use cases (LLM driven chatbots)</h4></li></ul><h4>Required Qualifications</h4><ul><li><h4>Education: Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics, Computational Biology, Engineering, or a closely related field. Master’s degree or Ph.D. is preferred.</h4></li><li><h4>Proven experience working with large and complex datasets, with a strong background in data wrangling, statistical analysis, and machine learning.</h4></li><li><h4>Demonstrated proficiency in at least one major programming language used for data analysis (such as Python, R, or Julia).</h4></li><li><h4>Experience with cloud computing platforms, including AWS, MS Azure, as well as modern data warehousing solutions such as Snowflake.</h4></li><li><h4>Familiarity with enterprise data management / data processing tools – Kubernetes, Tableau, Apache</h4></li><li><h4>Understanding of version control systems, especially Git, for collaborative code development and review.</h4></li><li><h4>Excellent communication skills, including the ability to translate technical findings into actionable recommendations for diverse audiences.</h4></li><li><h4>Analytical mindset and a passion for problem-solving in an interdisciplinary, fast-paced environment.</h4></li><li><h4>Self-motivated, detail-oriented, and able to manage multiple projects concurrently with minimal supervision.</h4></li></ul><h4>Preferred Qualifications</h4><ul><li><h4>Master’s degree or Ph.D. in a relevant field (Bioinformatics, Computational Biology, Data Science, etc.).</h4></li><li><h4>Typically requires a Bachelor’s degree and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent work experience</h4></li><li><h4>Hands-on experience with genomic data analysis, including familiarity with next-generation sequencing (NGS) platforms, omics data types, and relevant bioinformatics tools.</h4></li><li><h4>History of contributing to open-source projects or publications in scientific journals.</h4></li><li><h4>Experience working in highly regulated environments and understanding of data privacy standards (e.g., HIPAA, GDPR) as applied to biological and clinical data.</h4></li><li><h4>Background in healthcare, life sciences, or biotechnology industry.</h4></li></ul><h4>Key Skills and Competencies</h4><ul><li><h4>Strong foundation in statistics, probability, and experimental design.</h4></li><li><h4>Expertise in supervised and unsupervised machine learning techniques (e.g., regression, classification, clustering, dimensionality reduction).</h4></li><li><h4>Comfortable working in a regulated environment and managing code, solution designs within these constraints.</h4></li><li><h4>Proficiency in data cleaning, preprocessing, and feature engineering for structured and unstructured data.</h4></li><li><h4>Ability to assess and select appropriate models, evaluate metrics, and iterate solutions using best practices.</h4></li><li><h4>Capacity to work collaboratively in multidisciplinary teams and adapt to evolving project requirements.</h4></li><li><h4>Innovative thinker with a desire to apply data science solutions to real-world challenges.</h4></li></ul> We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship.<h4>Experience Level</h4>Senior Level

Illumina India Biotechnology Private Limited

Data Scientist

Senior Statistical ProgrammerJob Title: Senior  Statistical Programmer IIIntroduction to roleAre you ready to make a difference in the world of rare diseases? As a Senior Statistical Programmer II at Alexion, you'll be at the forefront of developing and validating programs that create datasets conforming to Alexion and CDISC standards. You'll lead projects, develop specifications, and ensure adherence to ICH guidelines and regulatory requirements. Acting as a mentor, you'll guide Statistical Programmers and external consultants, integrating statistical concepts with SAS Programming efficiently. This role offers the opportunity to work independently while collaborating with cross-functional teams to drive innovation and excellence in statistical programming.Accountabilities<ul><li>Support development of technical programming specifications for SDTM, ADS or ADaM standards.</li><li>Independently develop and/or validate programs that generate SDTM, and analysis datasets based on Alexion or ADaM specifications.</li><li>Support development and validate technical programming specifications for tables, listings, figures/graphs based on Protocol and SAP.</li><li>Independently develop and validate programs that generate tables, listings, figures/graphs using Alexion specifications.</li><li>Manage external vendors and contract programmers.</li><li>Provide project progress updates of programming activities.</li><li>Review, maintain, and approve protocol specific documents as necessary.</li><li>Provide guidance and mentoring to peer, junior-level Programmers and contract staff.</li><li>Support project leadership ensuring that department standards are implemented in all studies.</li><li>Contribute ideas and thoughts towards the optimization of standard operating procedures.</li><li>Lead team meetings when appropriate.</li><li>Any other activities as required.</li></ul>Essential Skills/Experience<ul><li>Experience supporting HR processes and transactions, ideally in Workday</li><li>Keen attention to detail and focus on data accuracy</li><li>Understanding of common HR and service center enabling technologies e.g. case management, telephony and online user portals</li><li>Able to communicate fluently in English</li><li>Demonstrated ability to run meaningful tasks efficiently and prioritize workload within a matrixed team environment</li><li>Experience in Microsoft applications</li><li>Highly developed communications, organization and interpersonal skills</li><li>Ability to work with confidential data</li><li>Experience of delivering against Service Level agreements, including working with third party providers to meet work deadlines</li><li>Ability to think analytically and optimally problem tackle using creative solutions</li><li>Flexibility and resourcefulness to change</li></ul>Desirable Skills/Experience<ul><li>Minimum of 6 years of statistical programming experience in the Pharmaceutical, Biotechnology, or Contract Research Industry.</li><li>Proven ability to:</li><li>Develop and validate technical specifications and programs for safety and efficacy analysis datasets, tables, listings, and figures/graphs.</li><li>Independently and collaboratively resolve problems</li><li>Clearly communicate processes and standards with management and team members</li><li>High competence in using SAS/Base, SAS/Macro, SAS/STAT.</li><li>Knowledge of SAS/Graph, and SAS/SQL</li><li>Knowledge and implementation of:</li><li>SDTM and ADaM principals</li><li>Relational Databases.</li><li>Good Clinical Practice principals.</li><li>Good Programming Practice principals.</li><li>21CFR Part 11 Standards principals.</li><li>Integrated Summary Safety/Efficacy Analyses.</li><li>Safety data and Coding Dictionaries (MedDRA and WHODD).</li><li>ICH eCTD format.</li></ul>When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.At AstraZeneca's Alexion division, you'll find an environment where innovation thrives! Our commitment to rare diseases means your work will have a profound impact on patients' lives. With a rapidly expanding portfolio, you'll enjoy the entrepreneurial spirit of a leading biotech while being supported by a global biopharma's resources. Join us in a culture that values diversity, inclusiveness, and the power of connection to patients' lived experiences.Ready to make a difference? Apply now to join our team!Date Posted16-Sept-2025Closing Date22-Sept-2025Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment, training, compensation, promotion, and other terms and conditions of employment based on race, color, religion, creed or lack thereof, sex, sexual orientation, age, ancestry, national origin, ethnicity, citizenship status, marital status, pregnancy, (including childbirth, breastfeeding, or related medical conditions), parental status (including adoption or surrogacy), military status, protected veteran status, disability, medical condition, gender identity or expression, genetic information, mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin an interactive dialogue with Alexion regarding an accommodation, please contact <a href="mailto:accommodations@Alexion.com" rel="noopener noreferrer" target="_blank">accommodations@Alexion.com</a>. Alexion participates in E-Verify.<h4>Experience Level</h4>Senior Level

Astrazeneca India Private Limited

Research Analyst

Data Visualization Engineer - Power BIReq ID: 340987 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.We are currently seeking a Data Visualization Engineer - Power BI to join our team in Bangalore, Karnātaka (IN-KA), India (IN)."Job Duties: As a Data Visualization consultant, you will transform complex data into clear, engaging, and actionable visual representations that help stakeholders understand key insights, identify trends, and make informed decisions.  Your role will involve collaborating with clients to understand their data needs, designing custom dashboards, charts, and interactive reports, and ensuring that visualizations are both aesthetically appealing and functionally effective.  Key Responsibilities: •    Design, develop, and implement reporting solutions with using data visualization tools •    Design, develops, and maintains various user-friendly dashboards  •    Translate and refines customer reporting requests into actionable objectives •    Analyze and translate non-technical user requirements into written report specifications  •    Gather and organize feedback from business users and stakeholders •    Employ expertise in best practices for data visualization and interactive user experience •    Create and vet complex calculations within data visualization tools to meet the needs of business logic •    Maintain detailed documentation through multiple simultaneous projects •    Responds to calls, correspondence, and email within department expectations. •    Maintain working knowledge of data visualization tools and follows best practices •    Serve as an operational data visualization expert for the team and the organization, which may include developing dashboard requests and interpreting data •    Ability to participate in and drive expectations, meetings, and discussions around reporting requirements, design, infrastructure needs, and project health status with project clients •    Think critically and apply appropriate judgment and creativity to a wide variety of information technology issuesMinimum Skills Required: Basic Qualifications:  •    5+ years designing, developing and distributing dashboards using Tableau OR PowerBI.  •    5+ years hands on experience with SQL along with one or more server/database administration tools (Teradata, Oracle, SQL Server, Google Analytics, etc.) •    5+ years of experience working with MS PowerPoint and Excel, including pivot tables/graphing •    Ability to travel at least 25% Preferred Skills: •    Exercises sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution. •    You are a team player that is a consistent, dependable performer with an excellent work ethic, flexible ""can-do"" attitude, and a commitment to success. •    Professional verbal and written communication. •    Undergraduate degree or graduate degree preferred."About NTT DATANTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at <a href="http://us.nttdata.com/en">us.nttdata.com</a>Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, <a href="https://us.nttdata.com/en/contact-us">https://us.nttdata.com/en/contact-us</a>.NTT DATA endeavors to make <a href="https://us.nttdata.com">https://us.nttdata.com</a> accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at <a href="https://us.nttdata.com/en/contact-us">https://us.nttdata.com/en/contact-us</a>. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click <a href="http://us.nttdata.com/en/compliance#eeos">here</a>. If you'd like more information on your EEO rights under the law, please click <a href="http://us.nttdata.com/en/compliance#know-your-rights">here</a>. For Pay Transparency information, please click<a href="http://us.nttdata.com/en/compliance#ppnp"> here</a>.<h4>Experience Level</h4>Mid Level

NTT DATA Global Delivery Services Ltd

Data Engineer

Associate Consultant - Data Engineer • Data Pipeline ETL Development: Design and optimize ETL/ELT processes using Python/PySpark and SQL to efficiently ingest, transform, and integrate data from various sources into Azure data platforms. • Data Architecture Integration: Leverage Azure Data Factory, Databricks, and Synapse Analytics to establish a medallion architecture in ADLS, transforming raw data into refined and actionable formats. • Power BI Integration: Collaborate with power bi developers and data analysts to ensure seamless integration of user-facing elements. • Full Software Development Lifecycle: Participate in all phases of the SDLC, including requirement analysis, planning, development, testing, and deployment. • Cross-Functional Collaboration: Work closely with cross-functional teams, including data scientists, data analysts and product managers, to solve technical and business challenges collaboratively.••Good to have: Experience in creating and managing data pipelines and notebooks with Microsoft Fabric. Familiarity with Gen AI techniques for enhancing data engineering tasks.Roles &amp; Responsibilities:Mandatory Technical &amp; Functional Skills•Data Engineering Fundamentals:•Proficiency in SQL for querying and creating views, stored procedures, etc.•Proven experience in designing and implementing ETL/ELT pipelines for data ingestion, transformation, and integration across platforms.•Strong knowledge in handling large datasets and performing data analytics using Spark, preferably PySpark.•• Cloud Technologies/Azure:•Hands-on experience with Azure Data Factory (ADF) for orchestrating data workflows, Azure Databricks for advanced analytics and Azure Synapse Analytics for scalable data warehousing solutions.•Experience with implementing medallion architecture (Bronze, Silver, Gold layers) utilizing Delta Lake tables in Azure Data Lake Storage (ADLS).•Familiarity with Git and version control for collaborative and efficient project management.•Experience with Microsoft Fabric for seamless data ingestion, processing, and report building within a single unified platform. • Soft Skills &amp; Functional Competencies:•Strong written and verbal communication skills for technical and non-technical audiences.•Demonstrated ability to collaborate with cross-functional teams and take ownership of deliverables.•Critical thinker with a problem-solving mindset and attention to detail.•Passion for AI and continuous learning in the artificial intelligence domain.Educational qualifications•Education: A Bachelor’s or Master’s degree in Engineering.•Certifications: Good to have certifications in Data Engineering (Azure, Databricks, or Fabric). Work experience1-4 years of work experience in data engineering or related fiel<h4>Experience Level</h4>Mid Level

Quant Analytics Associate Senior - Travel AnalyticsJoin us for an exciting opportunity to advance your analytics career and drive innovation in travel solutions.As a Quant Analytics Associate Senior in the Connected Commerce Chase Travel Analytics team, you will collaborate with product owners to deliver actionable insights and support strategic decision-making. You will help shape customer engagement by defining metrics, sourcing data, and creating reports that drive business outcomes.Job responsibilities<ul><li>Create high-quality data points to ensure accuracy and minimize redundancy</li><li>Rationalize complex data sets for cross-organizational use</li><li>Translate data into meaningful insights and present compelling stories to stakeholders</li><li>Produce, optimize, and automate reports to support business needs</li><li>Analyze travel-related data to understand customer behavior and trends</li><li>Monitor and assess the impact of guardrails on customer journeys for seamless booking experiences</li><li>Design and conduct experiments to measure the effectiveness of new features or changes</li></ul>Required qualifications, capabilities, and skills<ul><li>Degree in a quantitative or related field</li><li>Strong knowledge of Adobe Analytics</li><li>Demonstrated initiative and ability to complete tasks independently</li><li>Experience with experimentation techniques for data analysis and presentation</li><li>Intermediate proficiency in SQL, Alteryx, and Tableau</li><li>Experience working with Hadoop, Teradata, Oracle, and SQL databases</li><li>Ability to explain and convert complex concepts for diverse audiences</li></ul>Preferred qualifications, capabilities, and skills<ul><li>Intellectual curiosity and eagerness to learn with an innovative mindset</li><li>Highly organized with strong prioritization 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

Analytics COE - Data EngineerPosition Overview:As a key member of the Analytics Tooling Center of Excellence (COE) in Asset &amp; Wealth Management (AWM), you will contribute to a team of BI professionals and data engineers in support of our BI platforms and services for Alteryx, Tableau, ThoughtSpot, and other low-code BI platforms, such as Sigma, that are under consideration for our user community.  Additionally, you will collaborate closely with product, operations, and data teams to understand business problems, identify underlying challenges, and support the deployment, governance, AWM controls management, and adoption for these platforms and services.  The primary responsibilities for this position will include driving the well governed, effective, and innovative rollout of analytics tools to non-technical users and citizen developers, while advancing the adoption of a portfolio of zero-code Business Intelligence (BI) solutions. The leader in this role will be instrumental in advancing our analytics capabilities and fostering a culture of data-driven decision-making across the organization. Job Responsibilities:- Support and manage processes for the adoption and administration of analytical platforms such as Alteryx, Tableau, ThoughtSpot, and other analytical data bases to include user provisioning and support; maintenance of server hygiene, and operational effectiveness.- Support processes to manage the delivery of our analytical platforms such as SLA tracking, incident management, and problem management.- Hands-on development and management for BI platforms and tools like ThoughtSpot, Tableau, Alteryx, SQL, and Python.- Maintain key controls, policies, and procedures for BI tool usage.- Knowledge of logical and physical data modeling to support business use cases and technological advancements.- Build code to extract raw data, coach the team on techniques to validate its quality, and apply deep data knowledge to ensure the correct data is consumed and visualized.- Implement solutions and self-healing processes that minimize points of failure across multiple product features.- Design, develop, and manage proof of concept projects for dynamic data visualization solutions like Tableau and ThoughtSpot that provide actionable insights for informed decision-making. Qualifications/Skills (Required):- Minimum 3 years of experience in analytics/business intelligence to deliver data-driven insights and strategic solutions, with hands-on expertise in BI tools for advanced analytics, complex data manipulations, and crafting advanced data visualizations.- Experience publishing and managing dashboards, reports with optimized scheduling, addressing data discrepancies and performance issues proactively.- Experience in data engineering or a related field.- Experience collecting, refining, and transforming data from diverse sources using advanced SQL queries and Alteryx/ETL expertise.- Mastery of SQL, including the ability to design and optimize complex queries and database structures.- Experience working across the Service Delivery Lifecycle on engineering enhancements and ongoing maintenance of existing applications.- Experience in managing the full lifecycle of data, from collection and storage to analysis and reporting.- Experience defining critical data scope within products, documenting, classifying, and enriching data with comprehensive metadata for effective use.- Drive projects efficiently using experience with tools like JIRA and Confluence, demonstrating agility and adaptability to transition swiftly between projects and meet evolving demands.- Exhibit exceptional written and verbal communication.- Experience with version control systems and tools, such as Git, GitHub, GitLab, and Bitbucket. Qualifications/Skills (Desired):- Hands-on expertise in BI tools like Alteryx, Tableau, and ThoughtSpot for advanced analytics, complex data manipulations, and crafting advanced data visualizations.- Experience with Python to effectively meet future and evolving data needs, while adeptly tackling complex data logic. Qualifications/Skills (Nice to Haves):- Build and manage end-to-end cloud-native data pipelines in AWS, leveraging hands-on expertise with AWS components.- Strong understanding of Data Mesh, data modeling, and domain-driven design principles.- Experience working in large-scale data engineering projects and implementing custom solutions to meet business objectives. Ideal Candidate:You should possess exceptional strategic thinking and problem-solving skills, with the ability to work within a dynamic, fast-paced environment. You are self-driven, motivated, and a team player. <h4>Experience Level</h4>Mid Level

IN-Senior Manager _Data Scientist + Gen AI_ Data & Analytics_ Advisory_ BangaloreLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior ManagerJob Description &amp; SummaryAt PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.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.Job Description &amp; Summary: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.Responsibilities:Key Responsibilities · Python, TensorFlow or PyTorch, Scikit-learn, and XGBoost, computer vision and NLP, MLOPs. · Design, develop, and deploy advanced ML and generative AI models (e.g., LLMs, diffusion models, transformers) for various use cases such as automation, personalization, content generation, forecasting, and decision intelligence. · Drive experimentation, evaluation, and integration of state-of-the-art generative AI techniques into products and processes. · Oversee model governance, fairness, explainability, and responsible AI practices. · Recommendation algorithms (collaborative filtering, content-based filtering). · Experienced with MLOps tools and cloud platforms - any of GCP , Azure, Databricks, or AWS. · VertexAI experience where working with model deployment, model training pipelines should be part of experience · Experience with real-world ML applications in retail such as recommendation systems, demand forecasting, inventory optimization, or customer segmentation. · Experience in Retail.Mandatory skill sets:· Design and deploy advanced ML and generative AI models (e.g., LLMs, diffusion models, transformers) for various use cases such as automation, personalization, content generation, forecasting, and decision intelligence. · RAGPreferred skill sets:· GCP Vertex AIYears of experience required:11-15Education QualificationB.Tech / M.Tech / MBA / MCAEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration, Master of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsData ScienceOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 24 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date<h4>Experience Level</h4>Senior Level

PriceWaterhouseCoopers Pvt Ltd ( PWC )

Machine Learning Engineer ManagerWe help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.   As part of SAP’s Application AI organization, you’ll lead a team at the forefront of enterprise AI innovation. You’ll shape how SAP’s customers plan, build, and visualize with generative AI—across Sales, Marketing, Finance, HR, and beyond. By joining Experience Generation, you’ll have the opportunity to lead talented engineers, collaborate with researchers and product visionaries, and deliver technologies that redefine how businesses operate. What You’ll DoAs an Engineering Manager, you will lead a team of talented engineers building the next generation of SAP’s generative-AI services. You’ll provide technical and people leadership, ensuring our projects deliver both innovation and enterprise reliability. Working closely with product managers, researchers, and partner teams across SAP, you’ll shape roadmaps, remove execution barriers, and build a high-performing engineering culture. Key Responsibilities<ul><li>Lead, mentor, and grow a cross-functional team of engineers (junior to senior) delivering production-grade AI workflows.</li><li>Drive technical execution for multi-agent orchestration (LangGraph) across DRP, Experience Builder, and Visual Services.</li><li>Partner with product leadership to define roadmaps that balance innovation with enterprise-grade scalability, governance, and security.</li><li>Ensure engineering excellence through code reviews, architectural oversight, and best practices in testing, deployment, and monitoring.</li><li>Foster a culture of collaboration, continuous learning, and experimentation within the team.</li><li>Coordinate with SAP AI platform teams (e.g., GenAI Hub, BTP, HANA Cloud) to align on shared infrastructure and governance standards.</li><li>Translate cutting-edge research (e.g., LLMs, RAG, diffusion, multimodal) into scalable, trusted enterprise solutions.</li><li>Manage delivery timelines, resource allocation, and stakeholder communication.</li></ul> What You Bring:<ul><li>8+ years of professional experience in software or machine learning engineering, including at least 2+ years in engineering management or technical leadership roles.</li><li>Strong technical background in ML/AI (LLMs, embeddings, multimodal generation, or agentic systems).</li><li>Proficiency in Python or another language such as Go or TypeScript, and understanding of distributed systems is highly desirable.</li><li>Experience leading teams working with cloud-native infrastructure (Kubernetes, AWS/Azure), data platforms (Postgres, Cassandra, vector databases), and modern frontend frameworks (React/Next.js).</li><li>Proven ability to deliver production AI systems at scale with attention to quality, reliability, and security.</li><li>Demonstrated success in mentoring engineers, fostering team growth, and creating an inclusive, high-performance culture.</li><li>Excellent communication and stakeholder management skills, with experience working in cross-functional, global teams.</li></ul> Meet Your Team:The Experience Generation team at SAP is transforming how enterprises move from an idea to a production-ready outcome. Our trio of generative-AI services—Deep Research &amp; Planning, Experience Builder, and Visual Services—empower business users to create strategic plans, role-aware micro-apps, and branded commerce imagery in minutes. Every output remains anchored to governed enterprise data and standards, ensuring both agility and trust.Our platform combines a React/Next.js front end, a Python + FastAPI backend orchestrating LangGraph sub-agents, and Gardener-managed Kubernetes for scale. Data persistence spans Postgres, Cassandra, and HANA Cloud’s new vector engine, with SAP’s Generative AI Hub providing foundation model choice and governance. Together, these systems deliver an enterprise-grade substrate for controllable, scalable AI workflows across all SAP lines of business.#SAPInternalT4PM Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.   We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for the <a href="https://one.int.sap/me@sap/jobs_and_hiring/employee_referral/region/0000/lang/en">SAP Employee Referral Program</a>, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity,  gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. Successful candidates might be required to undergo a background verification with an external vendor. AI Usage in the Recruitment ProcessFor information on the responsible use of AI in our recruitment process, please refer to our <a href="https://jobs.sap.com/content/Ethical_usage_of_AI_in_the_recruiting_process/?locale=en_US">Guidelines for Ethical Usage of AI in the Recruiting Process</a>. Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 433529  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid <h4>Experience Level</h4>Mid Level

Sap India Private Limited

Business Intelligence AnalystWe’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.THE ROLEAs a Business Intelligence Analyst, you will be the vital link between complex data and strategic decision-making within our Customer Experience organization. Your mission is to translate business needs into powerful, automated analytics and visualizations. Collaborating closely with business stakeholders and technical teams, you will build and scale BI solutions that provide clear, actionable insights, directly shaping the future of our customer support initiatives and driving operational excellence.WHAT YOU'LL DO<ul><li>Partner with Business Stakeholders and Functional Teams Work across teams to understand metrics and document clear business requirements for BI analyses, reports, and dashboards. Ensure solutions address stakeholder needs while maintaining strong alignment with organisational priorities.</li><li>Design Interactive Data Visualizations Build interactive, visually impactful dashboards and analytics using Tableau. Efficiently source, structure, and process large datasets utilizing Snowflakes. Design dashboards and reports that clearly communicate key insights, enabling stakeholders to make data-driven decisions.</li><li>Support BI Process Automation Contribute to the automation and scaling of BI workflows using Python, SQL and related scripting technologies. Focus on increasing efficiency, reducing manual effort, and ensuring accuracy/repeatability in data analytics processes.</li><li>Promote Best Practices in Analytics Advocate for and implement documented guidelines and standard procedures for BI automation and dashboard development. Share methods and recommendations that support scalable, robust analytics solutions.</li><li> Contribute to CX BI Principles Participate in development and refinement of Customer Experience (CX) BI frameworks, bringing actionable data insights to initiative design and ongoing improvements.</li><li>Cross-functional Collaboration Work closely with IT, engineering, and business teams through regular planning meetings to ensure BI solutions are integrated with broader organizational goals, are scalable, and aligned with enterprise objectives.</li><li>Leverage AI/ML Analytics in BI Initiatives Where Relevant. Apply foundational AI/ML techniques or leverage AI-powered features within BI tools to enhance data analysis, uncover trends, or automate insight generation as business needs dictate. Contribute to pilot and exploratory analytics projects, ensuring the value of AI/ML is realized in practical BI solutions, even though advanced AI development is not the primary focus of the role.</li></ul>WHAT YOU BRING<ul><li>At least 3 years of data analytics or BI experience, demonstrating the ability to work with large datasets, automation tools, and BI reporting platforms.</li><li>Proficiency in developing interactive dashboards and visuals in Tableau (Must Have) and managing/integrating data using Snowflakes. (Must Have)</li><li>Expertise in SQL and Python for automating, scaling, and optimizing BI workflows. (Must Have)</li><li>Bachelor’s degree in statistics, computer science, math, or a related quantitative field, or equivalent practical work experience.</li><li>Good Working Knowledge of Ms Office / Google Sheets / Google Slides</li><li>Demonstrated ability to communicate data insights effectively to both technical and non-technical audiences, and to collaborate on cross-functional teams to deliver analytics solutions.</li><li>Proven track record of managing multiple analytics projects simultaneously, delivering work on time, and maintaining data quality and accuracy</li><li>Tableau Desktop Certified Associate Certification is a Plus.</li><li>Experience with Service Now, Salesforce reporting Modules is a plus.</li><li>Experience working as a Business Intelligence Analyst in a technical support environment is a plus.</li><li>Familiarity with AI and machine learning concepts or tools is a plus, especially where these support business intelligence or analytics initiatives. Experience or interest in exploring AI-powered features within BI workflows to improve analysis, identify trends, or support business insights as needed is welcomed.</li></ul>WHAT 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. JOIN US AND BRING YOUR BEST.BRING YOUR BOLD.BRING YOUR FLASH.<h4>Experience Level</h4>Mid Level

Pure Storage India Pvt Ltd

Business Intelligence Analyst

Principal Data ScientistDo you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? Then, come join us!    The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.   We work closely with our customers’ engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.   We are hiring a Principal Data Scientist to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.  As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams.   Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. <h4>Responsibilities</h4><ul><li aria-setsize="-1">You will oversee data acquisition and ensure data is properly formatted and described. You’ll also coach engineers in data cleaning and analysis best practices, identify gaps in current data sets, and drive ethics and privacy discussions around data collection and preparation. </li></ul><ul><li aria-setsize="-1">You will evaluate your team’s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. You’ll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods. </li></ul><ul><li aria-setsize="-1">You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices. You’ll also write extensible code that spans multiple features, and develop expertise in proper debugging techniques. </li></ul><ul><li aria-setsize="-1">You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You’ll also commit to a customer-oriented focus by acknowledging their needs, and offer customer pragmatic solutions that align with their data capabilities. </li></ul><ul><li aria-setsize="-1">You will embody our <a href="https://careers.microsoft.com/us/en/culture" rel="noopener" target="_blank">culture</a> and <a href="https://www.microsoft.com/en-us/about/corporate-values" rel="noopener" target="_blank">values</a>. </li></ul><h4>Qualifications</h4>Required/Minimum Qualifications (RQs/MQs) <ul><li aria-setsize="-1">Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) </li></ul><ul><li aria-setsize="-1">OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) </li></ul><ul><li aria-setsize="-1">OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) </li></ul><ul><li aria-setsize="-1">OR equivalent experience. </li></ul><ul><li aria-setsize="-1">3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. </li></ul>  Additional or Preferred Qualifications (PQs) <ul><li aria-setsize="-1">Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) </li></ul><ul><li aria-setsize="-1">OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) </li></ul><ul><li aria-setsize="-1">OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results </li></ul><ul><li aria-setsize="-1">OR equivalent experience. </li></ul><ul><li aria-setsize="-1">Enjoy travel and are comfortable with travel up to 25% </li></ul>  Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!   At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers.  It’s an informal and flexible work environment and you’ll be welcome to work in the way that best enables you to get your job done.     We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.      Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the <a href="https://careers.microsoft.com/us/en/accommodationrequest" rel="noopener" target="_blank">Accommodation request form</a>.    Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  ISE is hiring globally! Check out our other open DS positions <a aria-label="Link here &gt;" href="https://jobs.careers.microsoft.com/global/en/search?q=ISEngineering&amp;p=Research%2C%20Applied%2C%20%26%20Data%20Sciences&amp;l=en_us&amp;pg=1&amp;pgSz=20&amp;o=Relevance&amp;flt=true" rel="noopener" target="_blank" title="https://jobs.careers.microsoft.com/global/en/search?q=isengineering&amp;p=research%2c%20applied%2c%20%26%20data%20sciences&amp;l=en_us&amp;pg=1&amp;pgsz=20&amp;o=relevance&amp;flt=true">here &gt;</a>.  #ISEngineering #WSS<h4>Experience Level</h4>Senior Level

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