987 Dataset Jobs - Page 40

Maersk is a global leader in integrated logistics and have been industry pioneers for over a century. Through innovation and transformation we are redefining the boundaries of possibility, continuously setting new standards for efficiency, sustainability, and excellence.At Maersk, we believe in the power of diversity, collaboration, and continuous learning and we work hard to ensure that the people in our organisation reflect and understand the customers we exist to serve.With over 100,000 employees across 130 countries, we work together to shape the future of global trade and logistics.Join us as we harness cutting-edge technologies and unlock opportunities on a global scale. Together, let's sail towards a brighter, more sustainable future with Maersk. Role: Safety & Resilience Systems and Quality Specialist Purpose of the role:Reporting to the S&R System & Insights Team Lead, the Safety and Resilience Systems and Quality Specialist, interprets and reports Quality performance and QMS. This role maintains Quality Management and reporting system, and development of new functionality and modules as needed. Responsibilities:QMS Framework Development: Collaborate with stakeholders to design and implement the QMS framework, ensuring alignment with quality standards and regulatory requirements.Automation & Workflow Optimization: Develop and integrate electronic forms, workflows, and modules to automate and streamline quality management processes.QMS Maintenance & Troubleshooting: Oversee system maintenance, troubleshooting, and updates to ensure the QMS runs smoothly and efficiently.User Training & Support: Create and deliver training programs, conduct workshops, and provide ongoing support to ensure effective QMS usage.Document Control & Access Management: Manage document control processes, including versioning, approvals, archival, and enforce access control to safeguard quality documents.Reporting & Performance Metrics: Generate KPI reports, track system usage and training effectiveness, and recommend improvements based on user feedback.Collaboration with Quality Teams: Work with Quality Assurance and Compliance teams to ensure the QMS supports quality processes, audits, and accurate records.Continuous Improvement, System Validation & Compliance: Lead continuous improvement efforts, ensure the QMS complies with regulatory standards (e.g., ISO 9001, GxP, GAMP5). Key Requirements BSc/MSc in a relevant disciplineExperience: 5 to 8 yearsBusiness Administration, Quality Management, or a related field.Proven experience in managing and administering an electronic platforms.Strong technical skills, including proficiency with web-based software, database management, and system integration.Experience in user training, technical support, and documentation management.Strong analytical, problem-solving, and troubleshooting abilities.Excellent communication and interpersonal skills for training and supporting a diverse user base.Ability to manage multiple projects and prioritize tasks effectively.Experience with Power BI and data analytics. Strong background in process optimization. Must Have experience System Administration Experience – Capability to manage and maintain safety reporting platforms, control user access, troubleshoot issues and optimized system functionalityBusiness address handling experience.Experience in handling large dataset ensuring data integrity and optimizing reporting process.Presentation and reporting – Strong skills in communicating data insights to senior stakeholders, preparing executive reports and explaining complex data in a clear and concise manner.Governance and SOP development – ability to create reporting guidelines, data validation processes and risk control frameworks.Experienced with issue diagnosis and resolution. – Experience in debugging system failures, Analyzing logs and resolving user reported technical problem.

About The Role A global leader in technology innovation is seeking a highly skilled C++ Developer with a passion for competitive programming and logical reasoning to join our team. This critical role will focus on creating high-quality reasoning datasets to train and improve Large Language Models (LLMs). You will design structured programming challenges and reasoning tasks to enhance the problem-solving capabilities of advanced AI systems. This is an exceptional opportunity for individuals with strong problem-solving expertise to contribute to cutting-edge AI development and directly impact the future of LLMs. Job Responsibilities Dataset Creation : Design and create structured reasoning tasks rooted in programming challenges, specifically in C++, to effectively train LLMs. This includes defining problem statements, specifying input/output formats, and generating diverse test cases. Problem Decomposition : Develop datasets that test and improve an LLM's ability to solve complex, multi-step problems, requiring clear and logical explanations of the solution process. This will involve breaking down problems into smaller, manageable sub-problems. Collaboration : Collaborate closely with research scientists and engineers to ensure task objectives align with model training goals and contribute to the overall improvement of the LLM's performance. Iteration and Refinement : Incorporate feedback from model performance analysis to iterate on and refine task designs, ensuring they effectively target areas for improvement in the LLM's reasoning and problem-solving abilities. Quality Assurance : Maintain consistency and clarity in task descriptions, ensuring they meet high-quality standards for accuracy, completeness, and readability. This includes rigorous testing and validation of the generated datasets. Documentation : Create and maintain clear documentation for the designed tasks, including problem descriptions, solution explanations, and any relevant Requirements : Experience : At least 3 years of experience in software development, with a strong focus on C/C++ programming. Programming Proficiency : Demonstrable expertise in C/C++ with a strong understanding of data structures and algorithms. Analytical Skills : Excellent analytical and problem-solving skills, with the ability to break down complex problems into structured, logical steps. Communication Skills : Proficient in English, with excellent written communication skills for crafting clear, concise, and logical explanations of programming solutions and reasoning processes. Attention to Detail : Meticulous attention to detail in designing programming and reasoning tasks, ensuring accuracy and consistency. Problem-Solving Prowess : A passion for problem-solving and a strong aptitude for logical reasoning. Competitive Programming (Preferred) : A profile on platforms like LeetCode, HackerRank, Codeforces, or GitHub that demonstrates advanced problem-solving skills and competitive programming experience is a significant plus. AI/ML Interest (Preferred) : Familiarity with or a strong interest in the field of Artificial Intelligence and Machine Learning, particularly related to LLMs, is a Skills : C++ : 3+ years of Skills (Considered a Plus) : Experience with other programming languages (e.g., Python). Experience with data manipulation and analysis tools. Knowledge of software testing methodologies. Contributions to open-source projects (ref:hirist.tech)

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... You’ll be ensuring that analytics drive continuous business improvements, bringing more profitable growth and an even better customer experience. You’ll define the analytics strategy and champion that strategy across the business in order to build consensus for data-driven decision making. You’ll also co-own the data analytics team, planning and leading all aspects of the work, and crafting an engaging environment where team members can thrive. Your end goal is to recommend improvements that will go straight to the bottom line by helping us serve our customers. Leading a strong internal data analytics team to support the business.Partnering with others to understand business challenges.Crafting creative approaches to uncover the biggest opportunities for cost and time savings.Defining and driving the analytics strategy and modeling approaches.Building business cases and translating findings into practical business implications.Driving the adoption of analytics in decision making. What We’re Looking For... You are the one reading up on the latest standard methodologies in data mining and visualization. You can visualize the big picture strategy, but can also break it down into the components to get the job done. You believe that the best decisions are based in data and you’re the one that knows how to tease out the key learning within a dataset. You have credibility with people because you are a specialist in all things data but you also know how to bring it down to the level that your audience can understand—that’s practical and will help the business improve. And you’re an effective and inspiring leader who brings out the best in others. You’ll Need To Have Bachelor’s degree in Math, Statistics, Physics, Engineering, Computer Science, Econometrics or four or more years of work experience.Ten or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.Experience with quantitative modeling, statistics, or data mining. Even better if you have one or more of the following: Master's degree or PhD in Operations Research, Industrial Engineering, Statistics, Economics, or a related field.Worked with SQL and statistical software packages like SAS and SPSS.Managed a team.Experience with visualization software like Qlikview, Tableau, or Excel.Coding experience (e.g., C/C++, Java or Python).Demonstrated communication and influence skills. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... You’ll be ensuring that analytics drive continuous business improvements, bringing more profitable growth and an even better customer experience. You’ll define the analytics strategy and champion that strategy across the business in order to build consensus for data-driven decision making. You’ll also co-own the data analytics team, planning and leading all aspects of the work, and crafting an engaging environment where team members can thrive. Your end goal is to recommend improvements that will go straight to the bottom line by helping us serve our customers. Leading a strong internal data analytics team to support the business.Partnering with others to understand business challenges.Crafting creative approaches to uncover the biggest opportunities for cost and time savings.Defining and driving the analytics strategy and modeling approaches.Building business cases and translating findings into practical business implications.Driving the adoption of analytics in decision making. What We’re Looking For... You are the one reading up on the latest standard methodologies in data mining and visualization. You can visualize the big picture strategy, but can also break it down into the components to get the job done. You believe that the best decisions are based in data and you’re the one that knows how to tease out the key learning within a dataset. You have credibility with people because you are a specialist in all things data but you also know how to bring it down to the level that your audience can understand—that’s practical and will help the business improve. And you’re an effective and inspiring leader who brings out the best in others. You’ll Need To Have Bachelor’s degree in Math, Statistics, Physics, Engineering, Computer Science, Econometrics or four or more years of work experience.Ten or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.Experience with quantitative modeling, statistics, or data mining. Even better if you have one or more of the following: Master's degree or PhD in Operations Research, Industrial Engineering, Statistics, Economics, or a related field.Worked with SQL and statistical software packages like SAS and SPSS.Managed a team.Experience with visualization software like Qlikview, Tableau, or Excel.Coding experience (e.g., C/C++, Java or Python).Demonstrated communication and influence skills. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

About The Team FinTech is a part of the CFO's organization and responsible for innovating and building the best financial products & systems in the world. Our DNA is customer obsession, top-quality products, collaboration, and clarity. FinTech works closely with Finance & business operations to build applications and solutions to enable critical accounting, finance business processes at Uber. We use industry best practices in Financial and Accounting systems, applying them to our complex global business operations. We provide systems for compliance, data reliability, audit and ensure timely availability of business critical data. This group is on the critical path to enable Uber to become a world class business operation and at the cutting edge of operational excellence. As a Product Manager II - Finance and Tax you will envision and craft a financial product roadmap to build world class Products working with Corporate Finance, Global Tax, Global Reporting and Compliance and Engg Teams at Uber. You will partner with other FinTech & Finance leaders to perform systems analysis and implement changes across FinTech systems. You will be responsible for overall metrics and business impact of your programs. Your performance is measured by the impact of the projects you launch seamlessly and by your ability to influence and inspire a high-performing Cross-functional team that includes Product, Tax, Engineering, Accounting, Finance and Operations. What You Will Do This role is a unique opportunity mix of technology, consulting and product development and project management. The role will require deep technical skills and experience and need close collaboration with Tax, Finance and other partner teams to get a deep understanding of the processes and data flows. Product Development: Lead the creation and evolution of a high-quality AI performance evaluation and quality check platform. Develop and simulate conversations to evaluate AI models against real-world conditions, identify performance gaps, and iterate to improve accuracy and customer experience. Develop and communicate a clear product vision and strategy aligned with business goals, financial objectives, ERP capabilities, and market trends (including AI/LLM potential)Product Ownership: Own the end-to-end product lifecycle by understanding customer pain points, defining product requirements, managing development and testing, and successfully launching scalable evaluation tools. Translate strategy and business requirements (especially from Finance) into actionable user stories, epics, and acceptance criteriaIdentify and evaluate opportunities to leverage AI/LLMs for automation, analytics, and enhanced functionality within finance/ERP workflowsEvaluation Frameworks: Design automated and human-centric evaluation frameworks that adhere to industry best practices, ensuring robust quality and reliability across AI systems. Cross-functional: Collaborate with Finance , engineering, data science, and LLM labeling operations to build and refine AI evaluation tools, fostering strong team alignment. Strategic Execution: Partner with executive leaders to determine and execute the product strategy, ensuring alignment with overall business and AI objectives. Data-Driven Decisions: Use data insights to continuously refine evaluation frameworks, prioritize product features, and optimize AI performance by addressing risks such as hallucinations or inaccuracies. Executive Communication: Present clear and compelling updates on product progress, vision, and impact to senior leaders, securing buy-in and alignment across the organization. What you will need: Experience: At least 4+ years of product management experience, with some experience building enterprise/ SaaS products. Conceptual understanding of ERP systems, their modular structure, and how different business processes (Tax,Finance, Supply Chain, HR, etc.) integrate within them is required. Domain experience: FinanceExperience in consolidating financial data across systems using cloud/SAAS tools such as Financial Accounting Hub. Execution Ability: Demonstrated ability to lead cross-functional teams, prioritize complex roadmaps, and deliver impactful AI tools at scale. Data-Driven Approach: Proficient in analyzing AI performance data, leveraging insights to inform product improvements, and addressing quality gaps like hallucinations. Bachelor's degree in Computer Science, Engineering, or a related field. Advanced degrees in AI/ML or related areas are a plus. Application Awareness: Understanding how AI/LLMs can be applied to solve problems in Finance/ERP (e.g., automation, forecasting, fraud detection) Strong understanding of AI/ML technologies, including LLMs, fine-tuning, prompt engineering, dataset creation, regression testing, and performance metrics. Bonus Points Experience in large scale Oracle Cloud ERP footprint (Oracle GL, EB- Tax, Accounting Hub) Strong experience in Excel, preferred SQL skillsInterest in building products and improving tax reporting and compliance functionsExperience working on knowledge platforms or similar tools or Background in integrating AI technologies into content or knowledge systems. Comfortable working in fast-paced environments with competing priorities. Genuine passion for financial systems and technological developments. At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 10,000 cities around the world. We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.

Key Accountabilities: Project Management: Ability to fill Statistical Programming Lead role on projects Input into and negotiate statistical programming timelines. Ensure that timelines are adhered to. Coordinate and lead a statistical programming team to successful completion of a study within given timelines and budget. Monitor project resourcing, project budgets, and identify changes in scope. Coordinate project start-up activities, creation of global programs, tracking spreadsheets, and other required documentation. Review statistical analysis plans and mock-shells. Review database set-up specifications. Provide leadership, project specific training, stakeholder management, external sponsor support, resource management, and project management for the required programming tasks supporting clinical trial activities. Interact with sponsors and internal stakeholders with regard to statistical programming issues. Assist project teams in the resolution of problems encountered in the conduct of their daily work. Statistical Programming for Assigned Projects: Deliver best value and high-quality service. Check own work in an ongoing way to ensure first-time quality. Use efficient programming techniques to produce/QC derived datasets (e.g. SDTM, ADaM), tables, figures, and data listings. Produce/QC dataset specifications and other process supporting documents and submission documentation. Ensure quality control (QC) is performed on all process and technical activities related to derived dataset, table, data listing, and figure programming in accordance with corporate quality standards, SOPs/Guidelines, ICH-GCP, and/or other international regulatory requirements. Training: Maintain and expand local and international regulatory knowledge within the clinical industry. Develop knowledge of areas of Clinical Data Management Systems (CDMS), Electronic Data Capture (EDC), Clinical Trial Management System (CTMS), Safety Reporting, SAS, and processes/procedures within other Parexel functional areas. Provide relevant training and mentorship to staff and project teams. Lead knowledge sharing forums and proactively support the development of the wider department. General: Maintain all supporting documentation for studies in accordance with SOPs/Guidelines to ensure traceability and regulatory compliance. Ensure compliance with SOPs/Guidelines, ICH-GCP, and any other applicable local and international regulations, and participate in internal/external audits and regulatory inspections as required. Proactively participate in and/or lead process/quality improvement initiatives. Provide consultancy to internal and external sponsors with regard to statistical programming tasks. Represent Parexel at sponsor marketing and technical meetings. Assessment of technology and processes, to facilitate best practices and increase quality, efficiency, and productivity. Represent Statistical Programming on cross-functional technical initiatives. Understand regulatory requirements concerning industry technical standards (e.g. CDISC, 21 CFR Part 11, and electronic submissions). Skills: Excellent analytical skills. Advanced knowledge of SAS programming techniques. Extensive knowledge and understanding of the programming and reporting process. Good knowledge of SOPs/Guidelines, ICH-GCP, and any other applicable local and international regulations such as 21 CFR Part 11. Knowledge of the efficacy endpoints and analysis techniques specific to the disease being treated. Ability to learn new systems and function in an evolving technical environment. Strong project management skills. Strong organizational skills, ability to manage competing priorities, and flexibility to change. Attention to detail. Ability to successfully lead and mentor a global team. Work effectively in a quality-focused environment. Excellent time management in order to meet daily metrics or team objectives. Show commitment to and perform consistently high quality work. Strong business/operational skills that include customer focus, commitment to quality management, and problem solving. Demonstrate commitment to refine quality processes. Good presentation skills. Ability to negotiate and influence in order to achieve results. Good business awareness/business development skills (including financial awareness). Client-focused approach to work. Good negotiation skills. Knowledge and Experience: Competent in written and oral English. Excellent communication skills. Proven record of successfully leading teams in a statistical programming environment. Education: Educated to degree level in a relevant discipline and/or equivalent work experience. #LI-REMOTE

Brief Description about the Project Vitamin D intervention trial during pregnancy. The pregnant women attending the OPD at St John’s medical college hospital will receive 2 different dosage of Vitamin D supplement. To evaluate whether a daily supplement of an effective dose of 2000 IU/d vitamin D3 reduces the incidence of preterm births when compared to the pregnant women supplemented with the standard care 500 IU/d vitamin D3. They will be followed up during pregnancy for outcome measure such as preterm. Project Associate Position Starting: 1th June, 2025 No. of Vacancy: one Preferred Qualifications: MSc. Data Sciences / life sciences Salary: As per the project requirement Language : English , Kannada , Tamil (optional), Hindi (optional) Experience: Minimum Experience: Fresher / with one year of experience, Maximum Experience: 2-3 Years experience in Research Last Day for Receiving Application: 25th May, 2025 Location: Bangalore Roles and Responsibilities : Recruitment of study participants Collect, clean, process, and manage dataset from various sources Stay updated on new methods and tools in data science relevant to public health and biomedical research. Ensure data integrity, security, and compliance with regulatory standards. Channelizing the study protocol with other team members for completion of study. Reporting day-to-day activities to the study PI. The Principal Investigator DBT-PROM Project SJRI To Apply: E-mail cover letter and curriculum vitae on or before 25th May,2025 to pratibha@sjri.res.in, poornima.r@sjri.res.in and cc to hr@sjri.res.in Can Contact us on the following Numbers 080-49467021/49467011

About the Role: Grade Level (for internal use): 07 Hierarchy management team is responsible for maintaining company’s hierarchical relationships across entities in S&P Global Market Intelligence. The team collects varied information with relate to corporate structure consists of ultimate parent, shareholding chain, company owners as well as other associated companies of an organization from variety of sources. The team services the client by providing accurate and comprehensive research from Company filings, press releases, company websites and regulatory filings, and an in-depth understanding of product offerings and screening tools. The Impact: This role will influence Hierarchy Management dataset and will require the candidate to understand the content collection from the eyes of the end user and implement problem solving skills to provide workable solutions. This role requires to work with peers, stakeholders in different content sets and operational domains, and higher stakeholders. The role demands high level of ethics, attentiveness, articulation, eye for detail, and understanding of process workflows tools. This position is an excellent steppingstone to understand Hierarchy Management, that will allow you to gain a comprehensive understanding through Cross Reference Identifiers & relationships standards, and enable you to learn facets of integrated framework, and as well as apply this knowledge to your daily responsibilities. What’s in it for you: Primarily responsible for delivering on predefined individual and team goals with quality and excellence. Along with, she/he will involve in internal working groups to plan and execute depending on various requirements within the team. Once strong fundamental understanding of the dataset and proficiency at workflows is developed, this role would require working with new talent to develop/enhance their skillset. Responsibilities: High quality data collation, analysis, extraction and entering the data in work tools as per guideline specifications Provide accurate, relevant and complete solution Execute root causing of data lapses and gaps in coverage Understand the working of the dataset, be aware of the workflows and have strong working knowledge of work tools Deliver on predefined individual and team targets including delivering outcomes with quality and excellence Troubleshoots problems or issues and provide support to the team Analyze large datasets to uncover actionable insights and trends Develop and maintain automated data pipelines for efficient data processing Build predictive models using AI techniques to drive business solutions Collaborate with cross-functional teams to deliver data-driven recommendations Continuously improve data processes and tools to enhance efficiency and accuracy Implement Lean principles to optimize processes and drive efficiency gains What We’re Looking For: Minimum requirement is for Post Graduates in Computer Science, Statistics, Mathematics, or related field preferable with work experience of 1 to 2 years in the same field Excellent communication and collaboration skills Thorough research and analytical skills Flexibility and attitude for Multi-tasking Problem-solving and effective Inter-personal skills Willingness to work in all shifts on rotational basis, along with work week adjustments Proven experience in data analysis and date handling Ability to thrive in a fast-paced, dynamic environment Key Skills: Proficiency in Python for data management and analysis Strong command of SQL for querying and managing databases Experience in Automation tools to streamline processes and workflows Familiarity with AI techniques for predictive modeling and data-driven decision-making Lean mindset with a focus on efficiency, waste reduction, and process improvement. 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 ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP203 - Entry Professional (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 314057 Posted On: 2025-05-06 Location: Gurgaon, Haryana, India

About the Role: Grade Level (for internal use): 10 The Team: S&P Global Market Intelligence is seeking a Product Manager/Owner to join our Search Product team. The team is responsible for the Search functionality on the MI Desktop platform. We are a global, collaborative team that prioritizes open communication, mutual respect, and excellence in all we do. Our goal is to provide users with the best search experience in the financial industry. We facilitate the identification of key companies, funds, and financial entities and support access to critical data and insights for strategic decision making. In so doing, we create novel solution for relevance, search interface development, and backend services that exceed user expectations. The Impact: As a Product Manager/Owner you will be responsible for the core Search Platform. You will leverage your knowledge/expertise in core Search - Relevance/Ranking, AI/ML, Semantic Search, Query/Content Vectorization etc. and drive increased client satisfaction and adoption of our search platform. You will collaborate with an agile scrum team & lead the timely execution of strategic client impacting feature. You will act as the liaison between the team and stakeholders, end users, business, and customer. You are, essentially, the ‘translator’ of customers’ needs into executable tasks (user stories) for the technology teams. You will help the team ensure a positive client experience by performing audits and analysis on our delivery platforms, presenting your findings and make recommendations. Your role has significant relationships and responsibilities including working across Product Management, Technology and Commercial, with your closest relationship being with the Product Manager. Your ultimate goal: elevate our search platform to better understand the user's query & deliver highly relevant search results right to the users fingertips. What’s in it for you: Opportunity to work with multiple teams across the MI organization Exposure to our data delivery platforms/feeds and the overall business Help drive improvement to products, product usability and client experience Become a member of one of the Desktop Search team within Market Intelligence. Responsibilities: Determines, maintains, and prioritizes the product backlog; set expectation for the stories to maximize the value Translate customer requirements into user stories that can be turned into features / products by the Technology team. Define stories and prioritize the team backlog to streamline the execution of project priorities, while maintaining the vision and integrity of the product Engage with Scrum Team on delivery related activities and create a release plan in partnership Ensure stories are executed within the overall release plan at the MVP and team level Ensure clear visibility into the work and health reporting across Product Managers and leadership Build relationships across senior management and key stakeholders to gain buy in and support for additional product and content initiatives Work with multiple groups to gather and refine requirements and translate them to actionable product goals Work closely with our Commercial partners to understand the client needs and workflows, our competition, and be able to articulate the value proposition of our products Analyze and aggregate customer feedback received via surveys, feedback and enhancement requests to help drive the product roadmap. Participate in regular product and dataset reviews to engage other groups around the offering What We’re Looking For: Required Qualifications: BA or BS in Engineering, Accounting, Finance, or related field 2-4 years of product management, technology and related experience in Search (specifically Semantic Search, Vectorization, Relevance/Ranking, ML/AI) Proven ability to work with and motivate global teams in a diverse and complex organization Knowledge of Agile/Scrum or SAFe process (Experience as a product manager/owner/Scrum Master of a SCRUM team a plus Relevant experience resolving complex operational problems requiring strategic and innovative solutions Hands-on expertise in successful product management functions Experience developing and/or supporting financial market data services products from concept to commercialization, including understanding and gathering client product requirements Effective influencing, interpersonal and communication skills in a matrix environment Strong presentation skills Ability to work independently, as well as within a team Preferred Qualifications: Intermediate to Expert knowledge of Search platforms - Relevance/Ranking, ML/AI, Semantic Search, Vectorization, Information Retrieval Knowledge of the financial data industry and competitive landscape as well as an understanding of market data delivery platforms, messaging services and their relevance Knowledge and experience working with semi-structured and/or unstructured data and data repositories used for data mining and innovation analysis Extensive knowledge and understanding of product quality and data management 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 ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), PDMGDV202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 315381 Posted On: 2025-05-05 Location: Hyderabad, Telangana, India

· A Bachelors Degree with relevant experience of 4+ years with 2+ years of people management. · Excellent communication (written & oral), strong organizational skills and detail oriented · Strong analytical, problem-solving, and critical-thinking skills · Comfortable working in a fast paced, highly collaborative, dynamic work environment · Willingness to support several projects at one time, and to accept re-prioritization as necessary Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities Team Manager will: · Manage day to day operations with a team of AI Data Validators and AI Validator Leads · Manage work prioritization and delivery based on business needs . Ensure high quality delivery under deadlines . Plan capacity and commit to volume by managing resources, queue, shift management, cross training, and leave management · Track weekly/monthly metrics and process reviews with internal and external stakeholders across time zones. · Maximize productivity and process efficiency through process standardization, strong process documentation, supervision, analysis and performance feedback on a periodic basis · Initiate and lead process improvement projects, presents solution proposals, and implement them to other applicable/in-scope operational areas · Own team’s hiring, performance and development through performance metrics, training, feedback and coaching on an ongoing basis. Business Analytics experience Six Sigma/Green Belt Certification MBA Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION We are looking for a leader who can own our analytics roadmap, develop and grow the careers of Business Analysts in our team and serve as a key partner for our Operations, Product, Engineering and Science teams. In this role, you will: a) lead a team of Business Analysts to identify and solve business problems using vast amounts of data from disparate sources; b) drive a Analytics roadmap, prioritizing business insight requests to balance the tactical and strategic information needs; c) work closely with our Ops and Engineering teams to build, maintain pipelines which powers critical products/features that influence operations, CX, Product and Science d) guide and coach your team to continuously improve operational excellence and ability to deliver best-in-class solutions. About the team OPTIMA Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. BASIC QUALIFICATIONS Bachelor's degree in Business, Engineering, Statistics, Computer Science, Mathematics or related field 5+ yrs of experience in a business analyst/data analyst/statistical analyst role 2+ leading a team of Business Analysts Highly skilled at querying relational databases, ability to pull from various sources and having done so in a business environment Experience in data visualization platforms Proven problem-solving skills, project management skills, attention to detail, and exceptional organizational skills Communication (verbal, written, and data presentation) and interpersonal skills to effectively communicate with both business and technical teams PREFERRED QUALIFICATIONS Master's degree in Business, Engineering, Statistics, Computer Science, Mathematics or related field Experience conducting advanced statistical analysis (skilled in using one or more of R/SPSS/SAS/Python and etc.) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Location: Vishakapatnam Andhra Pradesh India Duration: 1 year Job Description We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. Responsibilities Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Managing available resources such as hardware, data, and personnel so that deadlines are met Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks Stay up to date with developments in the machine learning industry Skills Proficiency with a deep learning framework such as TensorFlow or Keras Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Familiarity with data structures, data modeling, and software architecture Expertise in visualizing and manipulating big datasets Proficiency with OpenCV Familiarity with Linux Ability to select hardware to run an ML model with the required latency