957 Dataset Jobs - Page 33

About the Role: Grade Level (for internal use): 09 The Role: Data Intelligence Engineer The Team: The team is responsible for building, maintaining, and evolving the data intelligence architecture, data pipelines, and visualizations. It collaborates with business partners and senior management, working within multi-functional agile teams to ensure data integrity, lineage, and security. The team values self-service, automation, and leveraging data to drive insights and improvements. The Impact: This role is pivotal in transforming raw data into actionable insights that improve productivity, reduce operational risks, and identify business opportunities. By designing and implementing robust data solutions and visualizations, the Data Intelligence Engineer directly supports data-driven decision-making across various levels of the organization. The position contributes to extracting tangible value from data assets, ultimately enhancing overall service performance and business outcomes. What’s in it for you: Opportunity to design, build, and maintain a scalable, flexible, and robust data intelligence architecture, staying current with evolving technology trends. Engage in creative data science and analysis to provide actionable insights that directly influence business productivity and risk reduction strategies. Work in a dynamic environment focused on self-service and automation, with opportunities to utilize and expand knowledge in cloud environments (AWS, Azure, GCP). Collaborate within multi-functional agile teams, contributing to data-driven development and enhancing your skills in a supportive setting. Responsibilities: Build and maintain the data intelligence architecture, ensuring it is scalable, flexible, robust, and cost-conscious. Design, build, and maintain efficient Data Pipelines, focusing on loose coupling, data integrity, and lineage. Develop Data Visualizations with a focus on data security, self-service capabilities, and intelligible temporal metrics to highlight risks and opportunities. Conduct creative data science and analysis to provide actionable insights aimed at improving productivity and reducing risk. Work with business partners to identify how value can be extracted from data, emphasizing self-service and automation. Define, measure, and maintain key performance metrics, statistics for senior management, customer stats, business trend analysis, and overall service statistics. What We’re Looking For: Key Qualifications: Bachelor’s degree required, with an overall experience of 4-8 years, including 3-4 years in Data Intelligence and 2-3 years in Development & Support. Strong experience in Python or other scripting languages (e.g., Shell, PowerShell) and strong SQL skills with experience in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, DynamoDB, Redshift). Minimum 3+ years’ experience in development/automation areas, including automating data ingestion, transformation, and aggregation, and working knowledge of cloud technologies like AWS, Azure, or GCP (including Blob/flat file processing). Experience with Power BI or Tableau, including designing dashboards with trending visuals. Good to have knowledge of DAX, Power BI service, dataset refreshes, and performance optimization tools. ​ Soft Skills: Strong communication skills to effectively interact with both technical and non-technical teammates and stakeholders. Proven ability to work independently and collaborate effectively in multi-functional agile teams. Strong problem-solving and analytical skills with an understanding of agile software development processes and data-driven development. A thorough understanding of the software development life cycle and agile techniques is beneficial. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence . What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 316489 Posted On: 2025-05-31 Location: Gurgaon, Haryana, India

Job Summary About the role: As a News Analyst you will be an integral part of our algorithm training process serving as a resource to help define factors that are important to our clients. You are a highly motivated new graduate or professional journalist who loves being at the forefront of breaking news and has a passion for technology social media and online content. Responsibilities Degree preferably in Journalism Communications English political/social sciences or related fields 0-6 years of work experience preferably as a reporter covering breaking news or working in digital media or educational equivalent Excellent written and verbal communication skills Strong organizational skills comfortable managing multiple competing priorities Ability to monitor and analyze real-time data from multiple datasets Audit and programmatically apply business rules for data validation QA algorithmic datastreams to improve the quality of the dataset output Participate in UX user research studies for internal QA tools Stay up-to-date on new policies processes and procedures impacting the QA workflow Able to adapt quickly in a rapidly changing environment Goal and result-oriented mindset Professional proficiency in a foreign language a plus

Strong, clear voice with high energy and good phone presence Prior expertise in selling IT & Technology Services, SaaS Products/Platforms Source new sales appointments/opportunities through inbound lead follow-up and outbound cold calls through emails, personal connections, and other channels Exhibits a broad knowledge of multiple or related industries to help/develop actionable insights from existing use cases Strong understanding of end-to-end sales process and importance of inside sales contribution Understand customer needs and requirements Research accounts, identify key personas to generate necessary traction & interest Maintain, nurture and expand personas with messages that add value Develop best-in-class account research, opportunity assessment for the new prospects Strong usage of Social selling skills and other new age selling techniques to increase outreach Proactively assist the onsite sales/client partners in identifying opportunities Continuously and relentlessly increase awareness of available dataset and market intelligence tools, capabilities, and practices Route qualified prospects to the appropriate sales executives for further development and closure Job Types: Full-time, Permanent Pay: ₹35,000.00 - ₹90,000.00 per month Benefits: Work from home Education: Bachelor's (Preferred) Experience: Business development: 3 years (Preferred) Lead generation: 3 years (Preferred) Email marketing: 3 years (Preferred) International Cold calling: 3 years (Preferred) Language: English (Preferred) Work Location: In person

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Principal Consultant-Power BI Developer! Responsibilities: • Working within a team to identify, design and implement a reporting/dashboarding user experience that is consistent and intuitive across environments, across report methods, defines security and meets usability and scalability best practices • Gathering query data from tables of industry cognitive model/data lake and build data models with BI tools • Apply requisite business logic using data transformation and DAX • Understanding on Power BI Data Modelling and various in-built functions • Knowledge on reporting sharing through Workspace/APP, Access management, Dataset Scheduling and Enterprise Gateway • Understanding of static and dynamic row level security • Ability to create wireframes based on user stories and Business requirement • Basic Understanding on ETL and Data Warehousing concepts • Conceptualizing and developing industry specific insights in forms dashboards/reports/analytical web application to deliver of Pilots/Solutions following best practices Qualifications we seek in you! Minimum Qualifications Graduate Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Principal Consultant Primary Location India-Kolkata Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting May 30, 2025, 7:35:50 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

Job Description: We are seeking an experienced and highly skilled Data Scientist to join our dynamic team. The ideal candidate will have a strong background in building scalable data pipelines, analyzing complex datasets, and delivering actionable insights through visualizations and automated workflows. Key Responsibilities: Design and develop robust ETL pipelines to extract, transform, and load data from various sources. Write efficient Python scripts to parse structured and unstructured data from APIs, databases, and flat files. Build and maintain data models that feed into interactive Power BI dashboards and reports . Automate data workflows and reporting processes to improve efficiency and accuracy. Conduct exploratory data analysis (EDA) and mining to derive business insights. Collaborate with cross-functional teams including analysts, engineers, and business stakeholders to define data requirements. Ensure data quality, consistency, and compliance with organizational and industry standards. Required Skills and Qualifications: 3–4 years of professional experience as a Data Scientist or Data Engineer . Advanced proficiency in Python for data manipulation (e.g., Pandas, NumPy ). Strong experience in building/managing ETL pipelines using tools like Airflow , Azure Data Factory , or custom Python scripts. Hands-on expertise in Power BI , including dataset creation, dashboard design, and DAX expressions . Solid knowledge of SQL and relational databases such as PostgreSQL, MySQL, or MSSQL . Familiarity with working with REST APIs , JSON , and data normalization techniques. Experience with cloud platforms (Azure, AWS, GCP) is a plus. Show more Show less

About Ellucian Ellucian is a global market leader in education technology. We power innovation for higher education, partnering with more than 2,900 customers across 50 countries and serving over 20 million students. Ellucian's AI-powered platform, trained on the richest dataset available in higher education, drives efficiency, personalized experiences, and strengthened engagement for all students, faculty and staff. Fueled by decades of experience with a singular focus on the unique needs of learning institutions, the Ellucian platform features best-in-class SaaS capabilities and delivers insights needed now and into the future. These solutions and services span the entire student lifecycle, from student recruitment, enrollment, and retention to workforce analytics, fundraising, and alumni engagement. Ellucian's innovative solutions, vast ecosystem of partners, and user community of more than 45,000 provide best practices leading to greater institutional success and achieving better student outcomes. Values Rooted in Purpose We embrace the power to lead , the courage to innovate , and the determination to grow . At our core, we believe in humanizing our approach, recognizing that our people are our greatest strength. With a shared vision of transformation , we endeavor to shape a brighter future for higher education. About The Opportunity As a Customer Operations Engineer, you will collaborate within our Operations team to support existing customers and onboard new ones for our Smart Plan, Award, and Transfer products. This role involves direct communication with Professional Services, Customer Success, and R&D teams. You will need strong communication and comprehension skills, along with an understanding of business process workflows, Student Information Systems (SIS), Degree Audit systems, and SaaS product fundamentals. Critical thinking and problem-solving abilities are essential. The ideal candidate is comfortable with frequent context switching and thrives in a deadline-driven environment while working under minimal supervision. Where you will make an impact Create and maintain customer tenants in Smart Plan, Award, and Transfer cloud environments. Perform data cloning and migration between various production and non-production environments. Own and maintain product configurations (customer configs), including managing the repository in Git. Assist business analysts in setting up new customer configurations. Develop and maintain data transformation scripts written in Groovy. Manage and coordinate data acquisition schedules and configure corresponding scheduled jobs. Support business analysts in creating advanced Advising Guidelines rules. Set up Single Sign-On (SSO) and role mapping. Configure and manage Award data analysis configurations, schedules, and initial executions. Report and escalate data-related risks to management, ensuring critical customer issues are addressed promptly and effectively. Participate in Tier 2 escalation for production incidents. What You Will Bring Solid knowledge of Git (branching, merging, conflict resolution). Proficiency in SQL and basic programming skills (Groovy, Python, regex). Basic understanding of AWS. Familiarity with SIS, Degree Audit systems, and the U.S. higher education landscape. Excellent attention to detail and time management skills. Good understanding of the software development process and SaaS concepts. Strong understanding of operations, services, and applications. Ability to work effectively in a team and independently with minimal supervision. What makes #Ellucianlife 22 days annual leave plus 11 public holidays Competitive gratuity policy Group insurance and Annual health checkup plan with a variety of family and wellness benefits. Thrive Flex Lifestyle Account (LSA) that allows you to contribute towards your health, financial or learning interests 5 charitable days to support the community that supports us Wellness Headspace (mental health) Wellbeats (virtual fitness classes) RethinkCare - caregiver support Diversity and inclusion programs that promote employee resource groups such as: Buzzinga and Lean In Team to name a few. Parental leave Employee referral bonuses to encourage the addition of great new people to the team We Foster a learning culture with: Education Assistance Program Professional development opportunities Show more Show less

About The Role Grade Level (for internal use): 07 Department overview S&P Global, EBS is specialist provider of managed and installed data services, delivering world-class data, technology and service solutions focusing on the complex and evolving Index and ETF data needs. Used in the front, middle and back office by the world’s leading Investment Banks, Asset Managers, Fund Administrators, Prime Brokers and Hedge Funds. Position summary The successful candidate will play a key part in maintaining the smooth running of the day-to-day operations of EBS data offering and working with cross functional teams to identify solutions in problem areas to remove operational inefficiencies. On the data enhancement aspect, the candidate will use advanced Excel, VBA and SQL skills translating operational requirements into technical solutions and tools. The team operates 24/7, thus interested candidates will be required to work in all shifts including US hours. Duties & accountabilities New hire needs to be well versed with index concepts and their calculations. Validate the accuracy of data received from various sources. Ensure that this information is stored in databases and is accurately reflected on products by creating or running data quality checks and standards. Ensure the quality and time-efficient production of financial information to respective products. Respond to data queries from both internal and external clients and provide support to stakeholders. Monitor and research market events in order to anticipate changes. Ensure a deep understanding of the markets and business events. Work with and involve cross functional teams to provide Root Cause Analysis to identify solutions in problem areas. Consolidate information around the dataset leading to the establishment of best practices. Perform automated/semi-automated checks to ensure production of high quality content. Ensure MOW’s are documented and maintained. Coordinate and Delegate work as per team requirements Identify data quality improvement projects, and good design practices Intermediate Excel and SQL skills, including being able to write basic SQL queries. Proven ability to utilize data and systems tools available Good verbal, written, and presentation skills. Education And Experience MBA (Finance) / Post Graduate or equivalent in ideally Finance. The candidate should have a good understanding of equities & capital markets. Specific knowledge around Index/ETF and Corporate Actions highly preferred. 0-2 years of business operations experience and must be flexible in addressing dynamic business needs. Commercial Awareness Must have a strong interest in finance and be up to date with current global financial market news. Management requirements : NA Personal competencies Personal Impact The candidate must be a self-starter, able to take on multiple tasks at a time, hardworking, and efficient. Communication Must demonstrate superior communication skills and is expected to interact professionally across business units within the company. Teamwork Being a team player is a vital aspect of the position, and it is expected that the candidate will work well individually, as well as in a global team environment About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence. What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf OPRTON203 - Entry Professional (EEO Job Group) Job ID: 316422 Posted On: 2025-05-31 Location: Bangalore, Karnataka, India Show more Show less

About The Role Grade Level (for internal use): 07 Department overview S&P Global, EBS is specialist provider of managed and installed data services, delivering world-class data, technology and service solutions focusing on the complex and evolving Index and ETF data needs. Used in the front, middle and back office by the world’s leading Investment Banks, Asset Managers, Fund Administrators, Prime Brokers and Hedge Funds. Position summary The successful candidate will play a key part in maintaining the smooth running of the day-to-day operations of EBS data offering and working with cross functional teams to identify solutions in problem areas to remove operational inefficiencies. On the data enhancement aspect, the candidate will use advanced Excel, VBA and SQL skills translating operational requirements into technical solutions and tools. The team operates 24/7, thus interested candidates will be required to work in all shifts including US hours. Duties & accountabilities New hire needs to be well versed with index concepts and their calculations. Validate the accuracy of data received from various sources. Ensure that this information is stored in databases and is accurately reflected on products by creating or running data quality checks and standards. Ensure the quality and time-efficient production of financial information to respective products. Respond to data queries from both internal and external clients and provide support to stakeholders. Monitor and research market events in order to anticipate changes. Ensure a deep understanding of the markets and business events. Work with and involve cross functional teams to provide Root Cause Analysis to identify solutions in problem areas. Consolidate information around the dataset leading to the establishment of best practices. Perform automated/semi-automated checks to ensure production of high quality content. Ensure MOW’s are documented and maintained. Coordinate and Delegate work as per team requirements Identify data quality improvement projects, and good design practices Intermediate Excel and SQL skills, including being able to write basic SQL queries. Proven ability to utilize data and systems tools available Good verbal, written, and presentation skills. Education And Experience MBA (Finance) / Post Graduate or equivalent in ideally Finance. The candidate should have a good understanding of equities & capital markets. Specific knowledge around Index/ETF and Corporate Actions highly preferred. 0-2 years of business operations experience and must be flexible in addressing dynamic business needs. Commercial Awareness Must have a strong interest in finance and be up to date with current global financial market news. Management requirements : NA Personal competencies Personal Impact The candidate must be a self-starter, able to take on multiple tasks at a time, hardworking, and efficient. Communication Must demonstrate superior communication skills and is expected to interact professionally across business units within the company. Teamwork Being a team player is a vital aspect of the position, and it is expected that the candidate will work well individually, as well as in a global team environment About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence. What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf OPRTON203 - Entry Professional (EEO Job Group) Job ID: 316385 Posted On: 2025-05-31 Location: Bangalore, Karnataka, India Show more Show less

About The Role Grade Level (for internal use): 09 The Role: Data Intelligence Engineer The Team: The team is responsible for building, maintaining, and evolving the data intelligence architecture, data pipelines, and visualizations. It collaborates with business partners and senior management, working within multi-functional agile teams to ensure data integrity, lineage, and security. The team values self-service, automation, and leveraging data to drive insights and improvements. The Impact: This role is pivotal in transforming raw data into actionable insights that improve productivity, reduce operational risks, and identify business opportunities. By designing and implementing robust data solutions and visualizations, the Data Intelligence Engineer directly supports data-driven decision-making across various levels of the organization. The position contributes to extracting tangible value from data assets, ultimately enhancing overall service performance and business outcomes. What’s In It For You Opportunity to design, build, and maintain a scalable, flexible, and robust data intelligence architecture, staying current with evolving technology trends. Engage in creative data science and analysis to provide actionable insights that directly influence business productivity and risk reduction strategies. Work in a dynamic environment focused on self-service and automation, with opportunities to utilize and expand knowledge in cloud environments (AWS, Azure, GCP). Collaborate within multi-functional agile teams, contributing to data-driven development and enhancing your skills in a supportive setting. Responsibilities Build and maintain the data intelligence architecture, ensuring it is scalable, flexible, robust, and cost-conscious. Design, build, and maintain efficient Data Pipelines, focusing on loose coupling, data integrity, and lineage. Develop Data Visualizations with a focus on data security, self-service capabilities, and intelligible temporal metrics to highlight risks and opportunities. Conduct creative data science and analysis to provide actionable insights aimed at improving productivity and reducing risk. Work with business partners to identify how value can be extracted from data, emphasizing self-service and automation. Define, measure, and maintain key performance metrics, statistics for senior management, customer stats, business trend analysis, and overall service statistics. What We’re Looking For Key Qualifications: Bachelor’s degree required, with an overall experience of 4-8 years, including 3-4 years in Data Intelligence and 2-3 years in Development & Support. Strong experience in Python or other scripting languages (e.g., Shell, PowerShell) and strong SQL skills with experience in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, DynamoDB, Redshift). Minimum 3+ years’ experience in development/automation areas, including automating data ingestion, transformation, and aggregation, and working knowledge of cloud technologies like AWS, Azure, or GCP (including Blob/flat file processing). Experience with Power BI or Tableau, including designing dashboards with trending visuals. Good to have knowledge of DAX, Power BI service, dataset refreshes, and performance optimization tools. Soft Skills Strong communication skills to effectively interact with both technical and non-technical teammates and stakeholders. Proven ability to work independently and collaborate effectively in multi-functional agile teams. Strong problem-solving and analytical skills with an understanding of agile software development processes and data-driven development. A thorough understanding of the software development life cycle and agile techniques is beneficial. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence. What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 316489 Posted On: 2025-05-31 Location: Gurgaon, Haryana, India Show more Show less

About the Role: Grade Level (for internal use): 09 The Role: Data Intelligence Engineer The Team: The team is responsible for building, maintaining, and evolving the data intelligence architecture, data pipelines, and visualizations. It collaborates with business partners and senior management, working within multi-functional agile teams to ensure data integrity, lineage, and security. The team values self-service, automation, and leveraging data to drive insights and improvements. The Impact: This role is pivotal in transforming raw data into actionable insights that improve productivity, reduce operational risks, and identify business opportunities. By designing and implementing robust data solutions and visualizations, the Data Intelligence Engineer directly supports data-driven decision-making across various levels of the organization. The position contributes to extracting tangible value from data assets, ultimately enhancing overall service performance and business outcomes. What’s in it for you: Opportunity to design, build, and maintain a scalable, flexible, and robust data intelligence architecture, staying current with evolving technology trends. Engage in creative data science and analysis to provide actionable insights that directly influence business productivity and risk reduction strategies. Work in a dynamic environment focused on self-service and automation, with opportunities to utilize and expand knowledge in cloud environments (AWS, Azure, GCP). Collaborate within multi-functional agile teams, contributing to data-driven development and enhancing your skills in a supportive setting. Responsibilities: Build and maintain the data intelligence architecture, ensuring it is scalable, flexible, robust, and cost-conscious. Design, build, and maintain efficient Data Pipelines, focusing on loose coupling, data integrity, and lineage. Develop Data Visualizations with a focus on data security, self-service capabilities, and intelligible temporal metrics to highlight risks and opportunities. Conduct creative data science and analysis to provide actionable insights aimed at improving productivity and reducing risk. Work with business partners to identify how value can be extracted from data, emphasizing self-service and automation. Define, measure, and maintain key performance metrics, statistics for senior management, customer stats, business trend analysis, and overall service statistics. What We’re Looking For: Key Qualifications: Bachelor’s degree required, with an overall experience of 4-8 years, including 3-4 years in Data Intelligence and 2-3 years in Development & Support. Strong experience in Python or other scripting languages (e.g., Shell, PowerShell) and strong SQL skills with experience in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, DynamoDB, Redshift). Minimum 3+ years’ experience in development/automation areas, including automating data ingestion, transformation, and aggregation, and working knowledge of cloud technologies like AWS, Azure, or GCP (including Blob/flat file processing). Experience with Power BI or Tableau, including designing dashboards with trending visuals. Good to have knowledge of DAX, Power BI service, dataset refreshes, and performance optimization tools. ​ Soft Skills: Strong communication skills to effectively interact with both technical and non-technical teammates and stakeholders. Proven ability to work independently and collaborate effectively in multi-functional agile teams. Strong problem-solving and analytical skills with an understanding of agile software development processes and data-driven development. A thorough understanding of the software development life cycle and agile techniques is beneficial. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence . What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 316489 Posted On: 2025-05-31 Location: Gurgaon, Haryana, India

Engineer, Data Intelligence Gurgaon, India Information Technology 316489 Job Description About The Role: Grade Level (for internal use): 09 The Role: Data Intelligence Engineer The Team: The team is responsible for building, maintaining, and evolving the data intelligence architecture, data pipelines, and visualizations. It collaborates with business partners and senior management, working within multi-functional agile teams to ensure data integrity, lineage, and security. The team values self-service, automation, and leveraging data to drive insights and improvements. The Impact: This role is pivotal in transforming raw data into actionable insights that improve productivity, reduce operational risks, and identify business opportunities. By designing and implementing robust data solutions and visualizations, the Data Intelligence Engineer directly supports data-driven decision-making across various levels of the organization. The position contributes to extracting tangible value from data assets, ultimately enhancing overall service performance and business outcomes. What’s in it for you: Opportunity to design, build, and maintain a scalable, flexible, and robust data intelligence architecture, staying current with evolving technology trends. Engage in creative data science and analysis to provide actionable insights that directly influence business productivity and risk reduction strategies. Work in a dynamic environment focused on self-service and automation, with opportunities to utilize and expand knowledge in cloud environments (AWS, Azure, GCP). Collaborate within multi-functional agile teams, contributing to data-driven development and enhancing your skills in a supportive setting. Responsibilities: Build and maintain the data intelligence architecture, ensuring it is scalable, flexible, robust, and cost-conscious. Design, build, and maintain efficient Data Pipelines, focusing on loose coupling, data integrity, and lineage. Develop Data Visualizations with a focus on data security, self-service capabilities, and intelligible temporal metrics to highlight risks and opportunities. Conduct creative data science and analysis to provide actionable insights aimed at improving productivity and reducing risk. Work with business partners to identify how value can be extracted from data, emphasizing self-service and automation. Define, measure, and maintain key performance metrics, statistics for senior management, customer stats, business trend analysis, and overall service statistics. What We’re Looking For: Key Qualifications: Bachelor’s degree required, with an overall experience of 4-8 years, including 3-4 years in Data Intelligence and 2-3 years in Development & Support. Strong experience in Python or other scripting languages (e.g., Shell, PowerShell) and strong SQL skills with experience in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, DynamoDB, Redshift). Minimum 3+ years’ experience in development/automation areas, including automating data ingestion, transformation, and aggregation, and working knowledge of cloud technologies like AWS, Azure, or GCP (including Blob/flat file processing). Experience with Power BI or Tableau, including designing dashboards with trending visuals. Good to have knowledge of DAX, Power BI service, dataset refreshes, and performance optimization tools. Soft Skills: Strong communication skills to effectively interact with both technical and non-technical teammates and stakeholders. Proven ability to work independently and collaborate effectively in multi-functional agile teams. Strong problem-solving and analytical skills with an understanding of agile software development processes and data-driven development. A thorough understanding of the software development life cycle and agile techniques is beneficial. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence. What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf - IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 316489 Posted On: 2025-05-31 Location: Gurgaon, Haryana, India

At 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. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups 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: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you 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. Show more Show less

At 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. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups 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: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you 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. Show more Show less

At 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. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups 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: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you 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. Show more Show less

At 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. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups 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: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you 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. Show more Show less

At 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. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups 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: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you 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. Show more Show less

At 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. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups 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: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you 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. Show more Show less

At 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. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups 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: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you 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. Show more Show less

At 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. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups 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: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you 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. Show more Show less

Job Summary About the role: As a News Analyst you will be an integral part of our algorithm training process serving as a resource to help define factors that are important to our clients. You are a highly motivated new graduate or professional journalist who loves being at the forefront of breaking news and has a passion for technology social media and online content. Responsibilities Degree preferably in Journalism Communications English political/social sciences or related fields 0-6 years of work experience preferably as a reporter covering breaking news or working in digital media or educational equivalent Excellent written and verbal communication skills Strong organizational skills comfortable managing multiple competing priorities Ability to monitor and analyze real-time data from multiple datasets Audit and programmatically apply business rules for data validation QA algorithmic datastreams to improve the quality of the dataset output Participate in UX user research studies for internal QA tools Stay up-to-date on new policies processes and procedures impacting the QA workflow Able to adapt quickly in a rapidly changing environment Goal and result-oriented mindset Professional proficiency in a foreign language a plus Show more Show less

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Technical Program Manager Mastercard is a technology company in the Global Payments Industry. We operate the world’s fastest payments processing network, connecting consumers, financial institutions, merchants, governments and businesses in more than 210 countries and territories. Mastercard products and solutions make everyday commerce activities – such as shopping, travelling, running a business and managing finances – easier, more secure and more efficient for everyone. Mastercard’s Data & Services team is a key differentiator for MasterCard, providing cutting-edge services that help our customers grow. Focused on thinking big and scaling fast around the globe, this dynamic team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business experimentation, and data-driven information and risk management services. We are currently looking for a Senior Technical Program Manager for Business Intelligence platforms within the Data & Services group. You will manage end-to-end delivery of engineering projects for some of our analytics and BI solutions that leverage Mastercard dataset combined with proprietary analytics techniques, to help businesses around the world solve multi-million dollar business problems. Roles And Responsibilities Successfully lead major projects and complex assignments with broad scope and long-term business implications. Collaborate with business and technical partners to identify and scope the opportunities, outline potential value and ROI, identify risks, benefits and constraints Assist in examining commercially available and forthcoming industry technologies related to area of expertise. Research on current and upcoming technologies and application frameworks and provide recommendations. Proactively create and maintain solution and technology road maps. Create detailed cost and time estimates for implementing business solutions, define technical scope and requirements of the project and assist your team with managing scope during the lifecycle of the project. Identify Quality methodology and define Quality Metrics for the Team. Manage multiple scrum teams and be responsible to organize and lead all Agile/SAFe ceremonies. Be accountable for overall progress of the committed projects and enhance processes to streamline deliveries. Develop good technical understanding of product architecture & flows and be able to propose technical solutions. Possess hands-on technical capabilities to track, analyse or resolve critical issues and customer queries. Effectively manage internal and external stake-holders and participate in technical discussions as a representative for your scrum teams. Help customers and the engineering teams make trade-off decisions by considering all the data including business goals, technical platform strategy, customer experience and maintainability. You identify blocking issues and manage their resolution. All About You Bachelor's degree in Information Technology, Computer Science or Engineering or equivalent work experience, with a proven track-record of successfully leading and managing complex programs/projects/products. Advanced level understanding of Agile/SAFe methodologies with a demonstrated experience in organizing Agile/SAFe ceremonies, planning program & iteration deliverables, leading scrum meetings, managing cost & effort estimation and driving prioritization discussions. A solid foundation in Computer Science, with prior hands-on experience on .Net stack and/or Java stack, preferably on web applications and microservices-based software architecture. Strong SQL skills would be a huge plus. Strong analytical and problem-solving abilities, with quick adaptation to new technologies, methodologies, and systems. Excellent English communication skills (both written and verbal) and experience with managing internal and external stakeholders at all management levels. High-energy, detail-oriented and proactive, with ability to function under pressure in an independent environment along with a high degree of initiative and self-motivation to drive results. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-247329 Show more Show less

Job description Job Title: MLOps Engineer Company: Aaizel International Technologies Pvt. Ltd. Location: Gurugram Experience Required: 6+ Years Employment Type: Full-Time About Aaizeltech Aaizeltech is a deep-tech company building AI/ML-powered platforms, scalable SaaS applications, and intelligent embedded systems. We are seeking a Senior MLOps Engineer to lead the architecture, deployment, automation, and scaling of infrastructure and ML systems across multiple product lines. Role Overview This role requires strong expertise and hands-on MLOps experience. You will architect and manage cloud infrastructure, CI/CD systems, Kubernetes clusters, and full ML pipelines—from data ingestion to deployment and drift monitoring. Key Responsibilities MLOps Responsibilities: Collaborate with data scientists to operationalize ML workflows. Build complete ML pipelines with Airflow, Kubeflow Pipelines, or Metaflow. Deploy models using KServe, Seldon Core, BentoML, TorchServe, or TF Serving. Package models into Docker containers using Flask or FastAPI or Django for APIs. Automated dataset versioning & model tracking via DVC and MLflow. Setup model registries and ensure reproducibility and audit trails. Implement model monitoring for: (i) Data drift and schema validation (using tools like Evidently AI, Alibi Detect). (ii) Performance metrics (accuracy, precision, recall). (iii) Infrastructure metrics (latency, throughput, memory usage). Implement event-driven retraining workflows triggered by drift alerts or data freshness. Schedule GPU workloads on Kubernetes and manage resource utilization for ML jobs. Design and manage secure, scalable infrastructure using AWS, GCP, or Azure. Build and maintain CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, or AWS DevOps. Write and manage Infrastructure as Code using Terraform, Pulumi, or CloudFormation. Automated configuration management with Ansible, Chef, or SaltStack. Manage Docker containers and advanced Kubernetes resources (Helm, StatefulSets, CRDs, DaemonSets). Implement robust monitoring and alerting stacks: Prometheus, Grafana, CloudWatch, Datadog, ELK, or Loki. Must-Have Skills Advanced expertise in Linux administration, networking, and shell scripting. Strong knowledge of Docker, Kubernetes, and container security. Hands-on experience with IaC tools like Terraform and configuration management like Ansible. Proficient in cloud-native services: IAM, EC2, EKS/GKE/AKS, S3, VPCs, Load Balancing, Secrets Manager. Mastery of CI/CD tools (e.g., Jenkins, GitLab, GitHub Actions). Familiarity with SaaS architecture, distributed systems, and multi-env deployments. Proficiency in Python for scripting and ML-related deployments. Experience integrating monitoring, alerting, and incident management workflows. Strong understanding of DevSecOps, security scans (e.g., Trivy, SonarQube, Snyk) and secrets management tools (Vault, SOPS). Experience with GPU orchestration and hybrid on-prem + cloud environments. Nice-to-Have Skills Knowledge of GitOps workflows (e.g., ArgoCD, FluxCD). Experience with Vertex AI, SageMaker Pipelines, or Triton Inference Server. Familiarity with Knative, Cloud Run, or serverless ML deployments. Exposure to cost estimation, rightsizing, and usage-based autoscaling. Understanding of ISO 27001, SOC2, or GDPR-compliant ML deployments. Knowledge of RBAC for Kubernetes and ML pipelines. Who You'll Work With AI/ML Engineers, Backend Developers, Frontend Developers, QA Team Product Owners, Project Managers, and external Government or Enterprise Clients How to Apply If you are passionate about embedded systems and excited to work on next-generation technologies, we would love to hear from you. Please send your resume and a cover letter outlining your relevant experience to hr@aaizeltech.com or bhavik@aaizeltech.com or anju@aaizeltech.com (Contact No- 7302201247) Show more Show less

Job Summary As a News Analyst you will be an integral part of our algorithm training process serving as a resource to help define factors that are important to our clients. You are a highly motivated new graduate or professional journalist who loves being at the forefront of breaking news and has a passion for technology social media and online content. Responsibilities Degree preferably in Journalism Communications English political social sciences or related fields 0 to 6 years of work experience preferably as a reporter covering breaking news or working in digital media or educational equivalent Excellent written and verbal communication skills Strong organizational skills comfortable managing multiple competing priorities Ability to monitor and analyze real time data from multiple datasets Audit and programmatically apply business rules for data validation QA algorithmic datastreams to improve the quality of the dataset output Participate in UX user research studies for internal QA tools Stay up to date on new policies processes and procedures impacting the QA workflow Able to adapt quickly in a rapidly changing environment Goal and result oriented mindset Professional proficiency in a foreign language a plus Show more Show less

Responsibilities Completely own the design and delivery of the UI layer, be a strong contributor to the product vision, and drive team planning. Designing and developing new user-facing features using Angular and Next.js . Building reusable components and front-end libraries for the future by applying functional programming concepts. Translating designs and wireframes into high-quality code. Optimizing components for maximum performance across a vast array of web-capable devices and browsers. Built for scale and high performance. Promote strong collaboration within a cross-functional team, including design and product management. Mentor and coach junior team members. Requirements Minimum 2-6 years of front-end development experience. Solid grasp of design patterns with the ability to translate design to low-level code. Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model, HTML, and CSS. Deep understanding of modern web applications design architecture, good API design patterns, performance, and scale. Experience in modern technologies such as JavaScript, TypeScript, Angular, Next.js, and React.js . Familiarity with RESTful APIs and data structures libraries. Hands-on with RxJS. Familiarity with modern front-end build pipelines and tools. Experience with common front-end development tools such as Webpack, NPM, Angular Material, or any other component library. Ability to understand business requirements and translate them into technical requirements. Hands-on with any visualization libraries and comfortable working with large dataset-driven analytical applications. Experience handling and coaching teams. Ability and comfortably work in a fast-paced, start-up mode. This job was posted by Christina Khokhar from PocketPills. Show more Show less

India - Hyderabad JOB ID: R-209284 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Mar. 04, 2025 CATEGORY: Clinical What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for manipulating large databases and generating reports to partner with epidemiologists to explore and generate RWE from real-world healthcare data assets. The ideal candidate should possess a bachelor’s degree and have at least six years of relevant career experience in statistical programming. Proficiency in SQL programming and SAS or R programming is required. The successful candidate will demonstrate scientific and technical excellence, exceptional oral and written communication skills, problem-solving abilities, and meticulous attention to detail. The ability to work effectively within a large, globally distributed team is essential. Responsibilities: Provide technical solutions to programming problems within CfOR(Centre for Observational research). Lead and develop technical programming and process improvement initiatives within CfOR Represent the programming function and participate in multidisciplinary project team meetings Project manage programming activities, according to agreed resource and timeline plans Ensure programming activities adhere to departmental standards and SOPs Write and/or review and approve programming plans Write and/or review and approve analysis dataset specifications Review and approve key study-related documents produced by other functions, e.g. SAPs, CRF, Data Management Plan, etc. Write, test and validate software programs in Unix to produce analysis datasets and presentation output, to be included in reports for submission to regulatory agencies, publications and other communications Write, test, validate and execute department-, product- and protocol-level macros and utilities Oversee the work of outsourced resources assigned to projects Lead and/or participate in the development and review of CfOR policies, SOPs and other controlled documents Participate in study and systems audits by Clinical Quality Assurance (CQA) and external bodies, and respond to audit questions and findings Participate in the recruitment of programming staff Actively participate in external professional organizations, conferences and/or meetings Provide input to and participate in intra-departmental and CfOR meetings Contribute to the continuous improvement of programming, CfOR, and Research and Development (R&D) Manage staff performance and oversee staff assignments and utilization Relevant statistical programming, systems engineering or application programming experience in a clinical development or life sciences setting What we expect of you We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Doctorate degree OR Master’s degree and 4 to 6 years of Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject experience OR Bachelor’s degree and 6 to 8 years of Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject experience OR Diploma and 10 to 12 years of Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject experience Preferred Qualifications: Managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources in statistical programming projects Training or experience using the Observational Medical Outcomes Partnership (OMOP) common data model. Experience: Real-world evidence (RWE) generation in pharmaceutical or related research industries, or statistical programming for clinical trials Team management Global collaboration Request fulfillment oversight, clarifying requirements, project tracking, project fulfillment, statistical programming, issue resolution, expert resource, results delivery Statistical programming: SQL required; SAS or R required; Python preferred Experience working with real-world healthcare data (RWD) such as healthcare claims (MarketScan, Optum Clinformatics, Medicare) and EHR databases (Optum EHR PanTher, Flatiron, CPRD, MDV) Key Competencies Hands-on programming and lead role Expert statistical programming knowledge using SAS or R Required: SAS or R Required: SQL Preferred: Python Excellent verbal and written communication skills in English Ability to have efficient exchanges with colleagues across geographical locations Agile project management Real-world data (RWD) including insurance claims databases, electronic medical records and patient registries; for example, MarketScan, Optum, PharMetrics, Flatiron, Medicare OMOP common data model Drug development life cycle Statistics and basic epidemiology: Incidence and prevalence [Required for Regulatory RWE role]: CDISC (SDTM, ADaM) Scientific / technical excellence Oral and written communication, documentation skills Leadership Innovation Teamwork Problem solving Attention to detail What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com