Job Description: About us* At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview* GF (Global Finance) Global Financial Control India (GFCI) is part of the CFO Global Delivery strategy to provide offshore delivery to Line of Business (LOBs) and Enterprise Finance functions. The capabilities hosted include General Accounting & Reconciliations, Legal Entity Controllership, Corporate Sustainability Controllership, Corporate Controllership, Management Reporting & Analysis, Finance Systems Support, Operational Risk and Controls, Regulatory Reporting and Strategic initiatives. The Financed Emissions Accounting & Reporting team, a part of the Global Financial Control-Corporate Sustainability Controller organization within the CFO Group, plays a critical role in supporting the calculation of asset level balance sheet Financed Emissions, which are integral to the Bank ’s goal of achieving Net-zero greenhouse gas emissions by 2050. Job Description* The role is responsible for building data sourcing process, data research and analytics using available tools, support model input data monitoring and develop necessary data or reporting frameworks to support our approaches to net zero progress alignment, target setting, client engagement and reputational risk review, empowering banking teams to assist clients on net zero financing strategies and specific commercial opportunities. The role will support and partner with business stakeholders in the Enterprise Climate Program Office, Technology, Climate and Credit Risk, the Global Environment Group, Lines of Business, Legal Entity Controllers and Model Risk Management. Additionally, the role will support data governance, lineage, controls by building, improving and executing data processes. Candidate must be able to communicate across technology partners, climate office and the business lines to execute on viable analytical solutions, with a focus on end-user experience and usability. Candidate must be strong in identifying and explaining data quality issues to help achieve successful and validated data for model execution. This individual should feel at ease creating complex SQL queries and extracting large, raw datasets from various sources, merging, and transforming raw data into usable data and analytic structures, and benchmarking results to known. They must feel comfortable with automating repeatable process, generating data insights that are easy for end users to interpret, conduct quantitative analysis, as well as effectively communicate and disseminate findings and data points to stakeholders. They should also understand greenhouse gas accounting frameworks and financed emissions calculations as applied to different sectors and asset classes. The candidate will have experience representing ERA with critical Climate stakeholders across the firm, and should demonstrate capacity for strategic leadership, exercising significant independent judgment and discretion and work towards strategic goals with limited oversight. Responsibilities* Net zero transition planning and execution: Partners with GEG, Program Office and Lines of Business in developing and executing enterprise-wide net zero transition plan and operational roadmap, with a focus on analysis and reporting capabilities, data procurement, liaising with consultants, external data providers, Climate Risk and Technology functions. Data development & Operations: Research on data requirements, produce executive level and detailed level data summary, validate the accuracy, completeness, reasonableness, timeliness on the dataset and develop desktop procedures for BAU operations. Perform data review and test technology implementation for financed emissions deliverables. Execute BAU processes such as new data cycle creation, execute data controls and data quality processes. Produce data summary materials and walk through with leadership team. Data Analytics & Strategy: Analyze the data and provide how granular data movements across history affects the data new results. Find trends of data improvements or areas for improvement. Develops automated data analysis results and answer the common questions to justify the changes in data. Support ad hoc analytics of bank-wide and client net zero commitment implementation, with an initial focus on automation of financed emissions analysis, reporting against PCAF standards and net zero transition preparedness analytics and engagement to enhance strategy for meeting emissions goals for target sectors. Requirements* Education* Bachelor’s degree in data management or analytics, engineering, sustainability, finance or other related field OR master’s degree in data science, earth/climate sciences, engineering, sustainability, natural resource management, environmental economics, finance or other related field Certifications If Any NA Experience Range* Minimum 15+ years in Climate, Financed Emissions, finance, financial reporting Three (3) or more years of experience in statistical and/or data management and analytics and visualization (intersection with financial services strongly preferred) Foundational skills* Deep expertise in SQL, Excel, automation & optimization, and project management Knowledge of data architecture concepts, data models, ETL processes Deep understanding of how data process works and ability to solve dynamically evolving and complex data challenges part of day-to-day activities. Knowledge of data architecture concepts, data models, ETL processes Deep understanding of how data process works and ability to solve dynamically evolving and complex data challenges part of day-to-day activities. Experience in extracting, and combining data across from multiple sources, and aggregate data to support model development. Experience in multiple database environment such as Oracle, Hadoop, and Teradata Deep expertise in SQL, Excel, Python, automation & optimization, and project management Strong technical and visualization skills, with the ability to understand the business goals, needs, and be committed to delivering recommendations that will guide strategic decisions. Knowledge on Alteryx, Tableau, R, (knowledge of NLP, data scraping and generative AI welcome) Strong leadership skills and proven ability in motivating employees and promoting teamwork. Excellent interpersonal, management, and teamwork skills. High level of significant independent decision-making ability. Highly motivated self-starter with excellent time management skills and the ability to effectively manage multiple priorities and timelines. Demonstrated ability to motivate others in a high-stress environment to achieve goal. Ability to effectively communicate and resolve conflicts by both oral and written communication to both internal and external clients. Ability to adapt to a dynamic and evolving work environment. Well-developed analytical and problem-solving skills. Experience and knowledge of the principles and practices of management and employee development. Ability to think critically to solve problems with rational solutions. Ability to react and make decisions quickly under pressure with good judgment. Strong documentation & presentation skills to explain the data analysis in a visual and procedural way based on the audience. Ability to quickly identify risks and determine reasonable solutions. Desired Skills Advanced knowledge of Finance Advanced knowledge of Climate Risk Work Timings* Window 12:30 PM to 9:30 PM (9 hours shift, may require stretch during peak period) Job Location* Mumbai Show more Show less

SatSure is hiring a mid-level Product Manager – Data Platform to lead the development of a scalable internal data stack supporting geospatial data workflows. This role involves collaborating with data engineering and cross-functional teams to optimize data delivery, reliability, and automation. About SatSure: SatSure is a deep tech company that leverages satellite imagery and AI to drive decision-making in agriculture, banking, and infrastructure. We’re on a mission to build scalable, data-driven products that deliver actionable insights for high-impact sectors across emerging markets. Role: We are looking for a mid-level Product Manager to lead the development of our internal data platform. The ideal candidate will collaborate with data engineers and internal stakeholders to build a robust, scalable, and high-quality data stack that significantly reduces the turnaround time (TAT) from data generation to delivery. You will not be expected to write code, but you must possess a deep understanding of how data systems work and a knack for translating business needs into clear, actionable technical requirements. Responsibilities: Collaborate with data engineering teams to define and deliver a scalable data platform for managing raster and tabular datasets. Understand the end-to-end lifecycle of geospatial data — from generation to delivery — and drive improvements in quality, automation, and timeliness. Gather requirements from internal teams (e.g., data scientists, solution architects, product, and sales) and convert them into structured product specifications. Own the product roadmap and prioritize initiatives based on business impact, data reliability, and team capacity. Define and track key metrics to measure the performance and reliability of the data platform. Facilitate sprint planning, backlog grooming, and stand-ups with cross-functional teams to ensure timely and quality delivery. Evangelize best practices in data quality checks, metadata standards, and process documentation across teams. Qualification: Bachelor's/Master's in Computer Science or related field Must-have: 3–5 years of experience in product management, preferably in a data-heavy or platform-focused role. Experience working closely with data engineering teams; familiarity with how data pipelines are designed and operated. Strong understanding of product lifecycle and backlog management. Ability to write clear, concise product requirement documents and ask the right technical questions to uncover constraints and edge cases. Comfortable navigating ambiguity and making trade-offs between speed, quality, and scope. Curiosity and eagerness to learn about geospatial data, satellite imagery, and related tools. Good-to-have: While you won’t be writing code, you should be familiar with or willing to quickly learn about: Cloud Platforms: AWS (S3, EC2, Lambda, etc.) Data Pipeline Orchestration: Apache Airflow Geospatial Tools: QGIS, STAC (SpatioTemporal Asset Catalog), PyGeoAPI Data Storage & Access: Apache Iceberg, raster and tabular dataset management Version Control & Documentation: Git, Confluence, Jira Benefits: Medical Health Cover for you and your family, including unlimited online doctor consultations Access to mental health experts for you and your family Dedicated allowances for learning and skill development Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, and bereavement leaves Twice a year appraisal Interview Process: Intro call Assessment Presentation Interview rounds (ideally up to 3-4 rounds) Culture Round / HR round Show more Show less

Principal Applied Scientist Bangalore, Karnataka, India Date posted May 30, 2025 Job number 1819211 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview Do you want to be part of a team which delivers innovative products and machine learning solutions across Microsoft to hundreds of millions of users every month? Microsoft Turing team is an innovative engineering and applied research team working on state-of-the-art deep learning models, large language models and pioneering conversational search experiences. The team spearheads the platform and innovation for conversational search and the core copilot experiences across Microsoft’s ecosystem including BizChat, Office and Windows. As a Principal Applied Scientist in the Turing team, you be pushing & delivering on multiple tight timeline-based hands on data science activity and work, including training models, creating evaluation sets, building infrastructure for training and evaluation, and more. This will involve coordinating & aligning with internal & external data science, product & engineering teams across timezones. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 10+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. At least 3+ years of experience delivering team level outcomes. 2+ years of industrial experience coding in C++, C#, C, Java or Python. Prior experience with data analysis or understanding, looking at data from a large-scale systems to identify patterns or create evaluation datasets. Familiarity with common machine learning, deep learning frameworks and concepts, using use of LLMs, prompting. Ability to communicate technical details clearly across organizational boundaries. Preferred Qualifications: 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. #MSAI #Turing #LLMs #Modeltraining Responsibilities As a Principal Applied Scientist on our team, you'll be responsible for and will engage in: Driving projects from design through conception, implementation, experimentation and finally shipping to our users. This requires deep diving into data to identify gaps, coming up with heuristics and possible solutions, using LLMs to create the right model or evaluation prompts, and setting up the engineering pipeline or infrastructure to run them. Documenting progress & processing, assisting & guiding junior team members, aligning & unblocking them with other stakeholders in timezones. Coming up with evaluation techniques, datasets, criteria and metrics for model evaluations. These are often SOTA models or metrics / datasets. Hands on pre-training, fine-tuning, use of language models, including dataset creation, filtering, review, and continuous iteration. This may also require understanding of training frameworks, formats, checkpoints, stacks such as megatron. This requires working in a diverse geographically distributed team environment where collaboration and innovation are valued. You will have an opportunity for direct impact on design, functionality, security, performance, scalability, manageability, and supportability of Microsoft products that use our deep learning technology. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Principal Applied Science Manager Bangalore, Karnataka, India Date posted Apr 17, 2025 Job number 1819628 Work site Up to 50% work from home Travel 0-25 % Role type People Manager Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview Do you want to be part of a team which delivers innovative products and machine learning solutions across Microsoft to hundreds of millions of users every month? Microsoft Turing team is an innovative engineering and applied research team working on state-of-the-art deep learning models, large language models and pioneering conversational search experiences. The team spearheads the platform and innovation for conversational search and the core copilot experiences across Microsoft’s ecosystem including BizChat, Office and Windows. As a Principal Applied Science Manager in the Turing team, you be pushing & delivering on multiple tight timeline-based hands on data science activity and work, including training models, creating evaluation sets, building infrastructure for training and evaluation, and more. This will involve coordinating & aligning with internal & external data science, product & engineering teams across timezones. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 15+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research). OR equivalent experience. 6+ year(s) of people management experience. 5+ years of experience delivering team level outcomes. 8+ years of industrial experience coding in C++, C#, C, Java or Python Prior experience with data analysis or understanding, looking at data from a large-scale systems to identify patterns or create evaluation datasets Familiarity with common machine learning, deep learning frameworks and concepts, using use of LLMs, prompting. Experience in pytorch or tensorflow is a bonus. Ability to communicate technical details clearly across organizational boundaries. Preferred Qualifications: Master's Degree in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 5+ years of people management experience. #M365CORE #MSAI #Turing Responsibilities As a Principal Applied Science Manager on our team, you'll be responsible for and will engage in: Driving projects from design through conception, implementation, experimentation and finally shipping to our users. This requires deep diving into data to identify gaps, coming up with heuristics and possible solutions, using LLMs to create the right model or evaluation prompts, and setting up the engineering pipeline or infrastructure to run them. Manage a small team of applied scientists, assigning tasks, closely mentoring or guiding them, taking responsibility for their outcome / growth & overall output. Any of the activities below could be delegated or done by the individual oneself – either way, one is expected to know the activity well enough to drive it efficiently. Documenting progress & processing, assisting & guiding junior team members, aligning & unblocking them with other stakeholders in timezones. Coming up with evaluation techniques, datasets, criteria and metrics for model evaluations. These are often SOTA models or metrics / datasets. Hands on own the fine-tuning, use of language models, including dataset creation, filtering, review, and continuous iteration. This requires working in a diverse geographically distributed team environment where collaboration and innovation are valued. You will have an opportunity for direct impact on design, functionality, security, performance, scalability, manageability, and supportability of Microsoft products that use our deep learning technology. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Senior Applied Scientist Bangalore, Karnataka, India Date posted May 30, 2025 Job number 1821994 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview Do you want to be part of a team which delivers innovative products and machine learning solutions across Microsoft to hundreds of millions of users every month? Microsoft Turing team is an innovative engineering and applied research team working on state-of-the-art deep learning models, large language models and pioneering conversational search experiences. The team spearheads the platform and innovation for conversational search and the core copilot experiences across Microsoft’s ecosystem including BizChat, Office and Windows. As a Senior Applied Scientist in the Turing team, you will be involved in tight timeline-based hands on data science activity and work, including training models, creating evaluation sets, building infrastructure for training and evaluation, and more. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Prior experience with data analysis or understanding, looking at data from a large scale systems to identify patterns or create evaluation datasets. Familiarity with common machine learning, deep learning frameworks and concepts, using use of LLMs, prompting. Experience in pytorch or tensorflow is a bonus. Ability to communicate technical details clearly across organizational boundaries. Preferred Qualifications: Master's Degree in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). #M365CORE #MSAI #MSTuring #Turing #msturingjobs Responsibilities As an Applied Scientist on our team, you'll be responsible for and will engage in: Driving projects from design through implementation, experimentation and finally shipping to our users. This requires deep dive into data to identify gaps, come up with heuristics and possible solutions, using LLMs to create the right model or evaluation prompts, and setup the engineering pipeline or infrastructure to run them. Come up with evaluation techniques, datasets, criteria and metrics for model evaluations. These are often SOTA models or metrics / datasets. Hands on own the fine-tuning, use of language models, including dataset creation, filtering, review, and continuous iteration. This requires working in a diverse geographically distributed team environment where collaboration and innovation are valued. You will have an opportunity for direct impact on design, functionality, security, performance, scalability, manageability, and supportability of Microsoft products that use our deep learning technology. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: What you need to know about the role Each Data Scientist on this team has full ownership of a portfolio of a product and is responsible for end-to-end management of loss and decline rates. Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. Meet our team PayPal's Global Fraud Protection team is responsible for partnering with global business units to manage a variety of risk of various types, including identity fraud, account takeover, stolen financial fraud, and credit issues. This is an exciting department that plays an important role in contributing PayPal's bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience. This open opportunity is within the Large Merchant and Markets Fraud Risk team. This portfolio is comprised of PayPal’s newest leading-edge payments solutions, such as Risk-as-Service, Fastlane, PayPal Complete Payments, etc. as well as customized experiences developed for the company’s highest-priority strategic Markets and Partnerships. Job Description: Your way to impact You will be the Data Scientist in the Fraud Risk team , where you will work on leading new projects to build and improve the Risk strategies to prevent fraud using the Risk tooled and custom data & AL/ML models. In this position, you will be partnering with the corresponding Business Units to align with and influence their strategic priorities, educate business partners about Risk management principles, and collaboratively optimize the Risk treatments and experiences for these unique products and partners. Your day to day In this role you will have full ownership of a portfolio of merchants and is responsible for end-to-end management of loss and decline rates. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines or improve customer friction. You will work together with cross-functional teams to deliver solutions and providing Risk analytics on frustration trend/ KPIs monitoring or alerting for fraud events. These solutions will adapt PayPal’s advanced proprietary fraud prevention tools enabling business growth. What do you need to bring 3-6 years of relevant experience working with large-scale complex dataset. Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions Excellent communication skills, equally adept at working with engineers as well as business leaders Want to build new solutions and invent new approaches to big, ambiguous, critical problems Strong working knowledge of Excel, SQL and Python/R Technical Proficiency: Exploratory Data Analysis and expertise in preparing a clean and structured data for model development. Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (e.g., regression, classification, clustering, decision trees, anomaly detection, etc.). Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc. along with basic statistical concepts Preferred Qualification: Subsidiary: PayPal Travel Percent: 0 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com . Who We Are: Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. We are seeking a PLM Analyst to be part of our talented team in Bangalore. This position will be an integral part of running core operations for the Product Lifecycle of a dynamic, fast paced organization for both new product development and on market commercial operations. The person in this role is responsible for creating and submitting change control, while serving as a critical resource in the change management process from inception through end-of-life for Illumina products. Maintains product and process configurations in PLM and SAP ERP. Supports cross-functional teams on the creation of Change Requests and Change Orders and assures configuration and document changes include required information while resolving any issues that arise. Scope of Responsibility: Applies problem-solving skills to analyze scope of Change and the underlying business dataset (e.g., Items, Documents, Bill of Materials, Facilities, EH&S) Packages Change scope in the form of Change Request and Change Orders – in the most efficient manner, in order to bring efficiencies to scale Prioritizes processing Changes in full alignment with the defined Service Level and expected metrics (e.g., turnaround time and quality service level) Performs thorough data analysis in light of the Change scope, in order to achieve higher accuracy level of impacted items. Scope includes, but not limited to Item and Document search – by key attributes, and descriptions both within PLM and PLM ecosystem e.g., SAP, Camstar, LIMS etc. Verifies accuracy and completeness of Changes packages by other Change Originators – where necessary, in full conformance with the underlying procedures, work instructions or job aids. Performs data quality review while processing Change workflows. Review risk towards data integrity, check for data completeness and accuracy while advancing PLM workflows through lifecycle stages Experience Required: 3-5 years of prior professional experience in the PLM space of a MedTech company with working knowledge of Enterprise Change Management, Master Data Management and Enterprise Document Control Well versed with basic GMP, regulatory and compliance requirements of a MedTech company e.g., 21 CFR 820 (Quality System Regulation), 21 CFR Part 11 (Electronic Records and Electronic Signatures) and 21 CFR Part 809 (In-Vitro Diagnostic Products) Prior experience of Data Stewards role processing Item and Document Master Data in a controlled setup is preferred We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship.

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: What you need to know about the role Each Data Analyst on this team has full ownership of a portfolio of a product and is responsible for end-to-end management of loss and decline rates. Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. Meet our team PayPal's Global Fraud Protection team is responsible for partnering with global business units to manage a variety of risk of various types, including identity fraud, account takeover, stolen financial fraud, and credit issues. This is an exciting department that plays an important role in contributing PayPal's bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience. This open opportunity is within the Large Merchant and Markets Fraud Risk team. This portfolio is comprised of PayPal’s newest leading-edge payments solutions, such as Risk-as-Service, Fastlane, PayPal Complete Payments, etc. as well as customized experiences developed for the company’s highest-priority strategic Markets and Partnerships. Job Description: Your way to impact You will be the Data Analyst in the Fraud Risk team , where you will work on leading new projects to build and improve the Risk strategies to prevent fraud using the Risk tooled and custom data & AL/ML models. In this position, you will be partnering with the corresponding Business Units to align with and influence their strategic priorities, educate business partners about Risk management principles, and collaboratively optimize the Risk treatments and experiences for these unique products and partners. Your day to day In your day to day role you will - In this role you will have full ownership of a portfolio of merchants and is responsible for end-to-end management of loss and decline rates. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines or improve customer friction. You will work together with cross-functional teams to deliver solutions and providing Risk analytics on frustration trend/ KPIs monitoring or alerting for fraud events. These solutions will adapt PayPal’s advanced proprietary fraud prevention tools enabling business growth. What do you need to bring- 2-4 years of relevant experience working with large-scale complex dataset. Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions Excellent communication skills, equally adept at working with engineers as well as business leaders Want to build new solutions and invent new approaches to big, ambiguous, critical problems Strong working knowledge of Excel, SQL and Python/R Technical Proficiency: Exploratory Data Analysis and expertise in preparing a clean and structured data for model development. Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (e.g., regression, classification, clustering, decision trees, anomaly detection, etc.). Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc. along with basic statistical concepts. Preferred Qualification: Subsidiary: PayPal Travel Percent: 0 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com . Who We Are: Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

About the Role: Grade Level (for internal use): 05 Apprenticeship Duration: 12 months Apprentice Requirement Candidates must not be already registered on the NAPS (National Apprenticeship Promotion Scheme) portal as apprentices Candidates should not have an active UAN/PF account Our Apprenticeship Program The apprenticeship is a skill training program governed by The Apprenticeship Act, 1961 (India), where individuals have the chance to partner with our industry experts, with on-the-job experience focusing on high impact work that allows you to apply and develop your skills. Networking, business insights and tailored learning opportunities all support your growth and development, setting you up for success as you begin your career. Candidates with no prior experience as Apprentice can only apply for the role S&P Global is looking to hire young fresh graduates and postgraduates, specifically 2024 and 2025 pass-outs, for a 12-month apprenticeship program. The Team: The Apprentice will be part of a team who works on various research reports and company documents to collect information & generate meaningful consensus from the collected data. This effort is coupled with real time monitoring of global industry trade publications and websites/news aggregators. Different Cluster supports business lines like Security Management, People Data, Fundamentals (Industry, General Fundamentals), Estimates, Market Data, Filings & Sourcing, Translations and many more People Data Team: This team is focused on collecting Officers & Directors’ data from company-filed documents and websites, which is then published on our product. Engage in collecting and updating People Data for public and private companies worldwide, following established data collection procedures. Gain insights into various management structures across different companies and countries. Security Management Team: Security Management team aims to create an integrated risk management framework by interconnecting security reference identifiers. We work on product focused integration processes aimed at building a cross referenced framework which help create value for our clients. The team deals in ingestion of global reference identifiers from multiple vendors daily , along with running multiple checks on the database for various metrics. The team is also involved in resolving client issues with real time data corrections through vendor interactions. A section of the team is responsible for quality of the database by following sigma approach, making the database better than the industry standard. Public Ownership team: The ownership team’s main mission is to provide our clients through our platform with the most accurate data in a timely manner. Our goal is to study the market’s legislation and the different public financial data sources that will allow us, together with the tech team, to build repeatable processes and deliver new solutions to the market. Success is measured through our capacity to find new ways to broaden our data coverage, as well as enhancing the collection procedures. Responsibilities and Impact: High quality data (Financial / Non-Financial Data) collation, analysis, extraction and entering the data in work tools as per guideline specifications for assigned vertical Understand the working of the dataset, be aware of the workflows and have strong working knowledge of work tools Providing input and ideas for new collection methods and product enhancements related to the dataset Deliver on predefined individual and team targets including delivering outcomes with quality and excellence. Create tech expertise within department Troubleshoots problems or issues and support team in enhancing the workflow/processes for department Reviewing feedback involving transactions content to help correct errors and establish or refine procedures and processes to improve accuracy Basic Required Qualifications: Fresher - BBA/B.Com graduated in 2024/2025 OR PGDM/MBA specializing in Finance graduating in 2024 /2025 Knowledge of corporate finance / accountancy i.e., financial statements and annual reports is preferred Excellent communication skills, both written and oral Willing to work in 24*5 environment on rotational shifts Hybrid work environment, requiring apprentices to work from the base location for 3-4 days a week or in-office as per business requirements 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 ----------------------------------------------------------- Job ID: 316943 Posted On: 2025-06-02 Location: Ahmedabad, Gujarat, India

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. We are seeking a PLM Analyst to be part of our talented team in Bangalore. This position will be an integral part of running core operations for the Product Lifecycle of a dynamic, fast paced organization for both new product development and on market commercial operations. The person in this role is responsible for creating and submitting change control, while serving as a critical resource in the change management process from inception through end-of-life for Illumina products. Maintains product and process configurations in PLM and SAP ERP. Supports cross-functional teams on the creation of Change Requests and Change Orders and assures configuration and document changes include required information while resolving any issues that arise. Scope Of Responsibility Applies problem-solving skills to analyze scope of Change and the underlying business dataset (e.g., Items, Documents, Bill of Materials, Facilities, EH&S) Packages Change scope in the form of Change Request and Change Orders – in the most efficient manner, in order to bring efficiencies to scale Prioritizes processing Changes in full alignment with the defined Service Level and expected metrics (e.g., turnaround time and quality service level) Performs thorough data analysis in light of the Change scope, in order to achieve higher accuracy level of impacted items. Scope includes, but not limited to Item and Document search – by key attributes, and descriptions both within PLM and PLM ecosystem e.g., SAP, Camstar, LIMS etc. Verifies accuracy and completeness of Changes packages by other Change Originators – where necessary, in full conformance with the underlying procedures, work instructions or job aids. Performs data quality review while processing Change workflows. Review risk towards data integrity, check for data completeness and accuracy while advancing PLM workflows through lifecycle stages Experience Required 3-5 years of prior professional experience in the PLM space of a MedTech company with working knowledge of Enterprise Change Management, Master Data Management and Enterprise Document Control Well versed with basic GMP, regulatory and compliance requirements of a MedTech company e.g., 21 CFR 820 (Quality System Regulation), 21 CFR Part 11 (Electronic Records and Electronic Signatures) and 21 CFR Part 809 (In-Vitro Diagnostic Products) Prior experience of Data Stewards role processing Item and Document Master Data in a controlled setup is preferred We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship. Show more Show less

About The Role Grade Level (for internal use): 05 Apprenticeship Duration: 12 months Apprentice Requirement Candidates must not be already registered on the NAPS (National Apprenticeship Promotion Scheme) portal as apprentices Candidates should not have an active UAN/PF account Our Apprenticeship Program The apprenticeship is a skill training program governed by The Apprenticeship Act, 1961 (India), where individuals have the chance to partner with our industry experts, with on-the-job experience focusing on high impact work that allows you to apply and develop your skills. Networking, business insights and tailored learning opportunities all support your growth and development, setting you up for success as you begin your career. Candidates with no prior experience as Apprentice can only apply for the role S&P Global is looking to hire young fresh graduates and postgraduates, specifically 2024 and 2025 pass-outs, for a 12-month apprenticeship program. The Team The Apprentice will be part of a team who works on various research reports and company documents to collect information & generate meaningful consensus from the collected data. This effort is coupled with real time monitoring of global industry trade publications and websites/news aggregators. Different Cluster supports business lines like Security Management, People Data, Fundamentals (Industry, General Fundamentals), Estimates, Market Data, Filings & Sourcing, Translations and many more People Data Team: This team is focused on collecting Officers & Directors’ data from company-filed documents and websites, which is then published on our product. Engage in collecting and updating People Data for public and private companies worldwide, following established data collection procedures. Gain insights into various management structures across different companies and countries. Security Management Team: Security Management team aims to create an integrated risk management framework by interconnecting security reference identifiers. We work on product focused integration processes aimed at building a cross referenced framework which help create value for our clients. The team deals in ingestion of global reference identifiers from multiple vendors daily, along with running multiple checks on the database for various metrics. The team is also involved in resolving client issues with real time data corrections through vendor interactions. A section of the team is responsible for quality of the database by following sigma approach, making the database better than the industry standard. Public Ownership team: The ownership team’s main mission is to provide our clients through our platform with the most accurate data in a timely manner. Our goal is to study the market’s legislation and the different public financial data sources that will allow us, together with the tech team, to build repeatable processes and deliver new solutions to the market. Success is measured through our capacity to find new ways to broaden our data coverage, as well as enhancing the collection procedures. Responsibilities And Impact High quality data (Financial / Non-Financial Data) collation, analysis, extraction and entering the data in work tools as per guideline specifications for assigned vertical Understand the working of the dataset, be aware of the workflows and have strong working knowledge of work tools Providing input and ideas for new collection methods and product enhancements related to the dataset Deliver on predefined individual and team targets including delivering outcomes with quality and excellence. Create tech expertise within department Troubleshoots problems or issues and support team in enhancing the workflow/processes for department Reviewing feedback involving transactions content to help correct errors and establish or refine procedures and processes to improve accuracy Basic Required Qualifications Fresher - BBA/B.Com graduated in 2024/2025 OR PGDM/MBA specializing in Finance graduating in 2024 /2025 Knowledge of corporate finance / accountancy i.e., financial statements and annual reports is preferred Excellent communication skills, both written and oral Willing to work in 24*5 environment on rotational shifts Hybrid work environment, requiring apprentices to work from the base location for 3-4 days a week or in-office as per business requirements 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 Job ID: 316943 Posted On: 2025-06-02 Location: Ahmedabad, Gujarat, India Show more Show less

About the Role: Grade Level (for internal use): 05 Apprenticeship Duration: 12 months Apprentice Requirement Candidates must not be already registered on the NAPS (National Apprenticeship Promotion Scheme) portal as apprentices Candidates should not have an active UAN/PF account Our Apprenticeship Program The apprenticeship is a skill training program governed by The Apprenticeship Act, 1961 (India), where individuals have the chance to partner with our industry experts, with on-the-job experience focusing on high impact work that allows you to apply and develop your skills. Networking, business insights and tailored learning opportunities all support your growth and development, setting you up for success as you begin your career. Candidates with no prior experience as Apprentice can only apply for the role S&P Global is looking to hire young fresh graduates and postgraduates, specifically 2024 and 2025 pass-outs, for a 12-month apprenticeship program. The Team: The Apprentice will be part of a team who works on various research reports and company documents to collect information & generate meaningful consensus from the collected data. This effort is coupled with real time monitoring of global industry trade publications and websites/news aggregators. Different Cluster supports business lines like Security Management, People Data, Fundamentals (Industry, General Fundamentals), Estimates, Market Data, Filings & Sourcing, Translations and many more People Data Team: This team is focused on collecting Officers & Directors’ data from company-filed documents and websites, which is then published on our product. Engage in collecting and updating People Data for public and private companies worldwide, following established data collection procedures. Gain insights into various management structures across different companies and countries. Security Management Team: Security Management team aims to create an integrated risk management framework by interconnecting security reference identifiers. We work on product focused integration processes aimed at building a cross referenced framework which help create value for our clients. The team deals in ingestion of global reference identifiers from multiple vendors daily , along with running multiple checks on the database for various metrics. The team is also involved in resolving client issues with real time data corrections through vendor interactions. A section of the team is responsible for quality of the database by following sigma approach, making the database better than the industry standard. Public Ownership team: The ownership team’s main mission is to provide our clients through our platform with the most accurate data in a timely manner. Our goal is to study the market’s legislation and the different public financial data sources that will allow us, together with the tech team, to build repeatable processes and deliver new solutions to the market. Success is measured through our capacity to find new ways to broaden our data coverage, as well as enhancing the collection procedures. Responsibilities and Impact: High quality data (Financial / Non-Financial Data) collation, analysis, extraction and entering the data in work tools as per guideline specifications for assigned vertical Understand the working of the dataset, be aware of the workflows and have strong working knowledge of work tools Providing input and ideas for new collection methods and product enhancements related to the dataset Deliver on predefined individual and team targets including delivering outcomes with quality and excellence. Create tech expertise within department Troubleshoots problems or issues and support team in enhancing the workflow/processes for department Reviewing feedback involving transactions content to help correct errors and establish or refine procedures and processes to improve accuracy Basic Required Qualifications: Fresher - BBA/B.Com graduated in 2024/2025 OR PGDM/MBA specializing in Finance graduating in 2024 /2025 Knowledge of corporate finance / accountancy i.e., financial statements and annual reports is preferred Excellent communication skills, both written and oral Willing to work in 24*5 environment on rotational shifts Hybrid work environment, requiring apprentices to work from the base location for 3-4 days a week or in-office as per business requirements 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 ----------------------------------------------------------- Job ID: 316943 Posted On: 2025-06-02 Location: Ahmedabad, Gujarat, India

📍 Location: Bhubaneswar / Remote 📄 Internship Certificate: Provided upon successful completion 💰 Stipend: Up to ₹3,000/month (Performance-based) ⏳ Duration: 2–3 months (can be extended based on performance) 🎯 Who Can Apply? We are looking for passionate tech enthusiasts who want to gain hands-on experience in backend and full-stack development with real-world financial and AI-based applications. Eligibility: ✅ Freshers or students pursuing: B.Tech / B.E / M.Tech BCA / MCA B.Sc (IT) or equivalent ✅ Strong interest in web backend/hybrid development ✅ Basic understanding of Python, SQL, and REST APIs ✅ Willingness to learn and explore real stock market data 🔧 Key Responsibilities Backend Development : Work with Python, Pandas, NumPy, PostgreSQL/SQL, and Node.js Data Management : Clean, analyze, and manage stock market datasets API Development : Build and integrate REST APIs for frontend consumption Frontend Collaboration : Coordinate with frontend developers using React, HTML, CSS, JS Cloud Deployment : Assist in deploying backend services to cloud environments AI/ML Integration : Support AI-driven features for financial apps (training, models, etc.) 📚 Learning Opportunities Real-world exposure to financial data APIs & trading systems Collaboration with full-stack developers on scalable apps Introduction to containerization and CI/CD (Docker, GitHub Actions, etc.) Experience with cloud environments (AWS/GCP/Oracle Free Tier) Contribution to AI-based fintech tools 💡 Application Instructions 📌 Share your GitHub profile (with relevant code or sample projects). 📌 If you don't have one, complete this optional sample task : "Build a webpage listing companies on the left panel. When a company is clicked, show relevant stock price charts. Use any sample dataset or mock stock data." This helps us evaluate your practical understanding and creativity. 🎁 Perks & Benefits ✅ Internship Completion Certificate & Letter of Recommendation ✅ Hands-on experience in finance-tech and AI development ✅ Exposure to industry-standard tools & code practices ✅ Flexible work hours (100% remote) 🚀 Ready to kickstart your backend journey? Apply now and start building applications that matter. Show more Show less

Calling all innovators – find your future at Fiserv. We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Job Title Data Analyst What does a successful Data Analyst do at Fiserv ? Data Analyst is responsible for identifying any issues or ways to improve the collection, distribution and consumption of data. The data analysts will also monitor performance and quality control plans to identify any issues or ways to improve data orchestrations. This role requires collaborating with architects and developers to implement effective automation processes. What will you do: Ability to manage time and priorities with multiple tasks and projects, to work with loosely defined requirements. Analyze, query and manipulate financial and business level data. Validate data sets are in synch with sources. Perform reconciliations of defined data. Identify, compare, and resolve data quality problems. Evaluate large dataset for quality and accuracy. Determine business impact level for data quality issues. Work with Programmers to correct data quality errors. Determine root cause for data quality errors and make recommendations for solutions. Research and determine scope and complexity of issue to identify steps to fix issue. Develop process improvements to enhance overall data quality and execute data cleanup measures. Maintain a record of original data and corrected data. Ensure adherence to data quality standards. Identify areas of improvement to achieve data quality. Resolve all internal data exceptions in timely and accurate manner. What will you need to know: Bachelor’s Degree or equivalent experience. Must have analytical, problem solving, and team building skills. Ability to work independently, prioritize tasks and solve problems Proficient in MS PowerBI, SQL and Python. Excellent communication (verbal and written), interpersonal, organizational, collaboration, and trouble shooting skills What would be great to have: Exposure to Foundry or Snowflake a plus. Experience in VBA is a plus. We welcome and encourage diversity in our workforce. Fiserv is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protector veteran. Explore the possibilities of a career with Fiserv and Find your Forward with us! Thank you for considering employment with Fiserv. Please: Apply using your legal name Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable). Our commitment to Diversity and Inclusion: Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. Note to agencies: Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions. Warning about fake job posts: Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

The Purpose of the role Chubb is seeking a highly skilled and experienced Deep Learning Engineer with Generative AI experience to develop and scale our Generative AI capabilities. The ideal candidate will be responsible for designing, finetuning and training large language models and developing Generative AI systems that can create and improve conversational abilities and decision-making skills of our machines. Location: Bangalore, India Responsibilities Develop and improve Generative AI systems to enable high quality decision making, to refine answers for queries, and to enhance automated communication capabilities. Own the entire process of data collection, training, and deploying machine learning models. Continuous research and implementation of cutting-edge techniques in deep learning, NLP and Generative AI to build state-of-the-art models. Work closely with Data Scientists and other Machine Learning Engineers to design and implement end-to-end solutions. Optimize and streamline deep learning training pipelines. Develop performance metrics to track the efficiency and accuracy of deep learning models. Required knowledge, Skills and qualifications: Minimum of 4 years of industry experience in developing deep learning models with a focus on NLP and Generative AI. Expertise in deep learning frameworks such as Tensorflow, PyTorch and Keras. Experience working with cloud-based services such as Azure for training and deployment of deep learning models. Experience with Hugging Face's Transformer libraries. Expertise in developing and scaling Generative AI systems. Experience in large dataset processing, including pre-processing, cleaning and normalization. Proficient in programming languages such as Python and C++. Experience with natural language processing (NLP) techniques and libraries. Excellent analytical and problem-solving skills.

Who You’ll Work With A Lead Data Engineer will work in the Data and Artificial Intelligence organisation of Nike and will focus on building highly complex and performant data pipelines that'll drive Nike's data driven strategies for the future of sports. As a Lead data engineer you will work with your team to build robust data pipelines that are highly efficient and scalable and optimized by following the standards defined by the Principal Engineers. Who We Are Looking For In this role, we are looking for self-driven individuals who have deep technical knowledge in the big data domain. This role requires the individual to be an excellent problem solver who'll design and implement complex data pipelines which solve business problems of Nike. Excellent interpersonal skills and good experience in leading team of engineers and analysts. The core competencies required for this role include - Bachelor’s degree in computer science engineering or equivalent 8-12 years of hands-on experience in data engineering field In depth big data tech stack knowledge Expertise in pyspark and SQL Expertise in databricks, snowflake, airflow, any one of the cloud ( AWS , Azure , GCP ) Excellent written and verbal communication skills What You’ll Work On As a lead data engineer, You will collaborate closely with Architects and principal engineers and the engineering managers to deliver key changes to data pipelines that drive Nike's data strategy On a day-to-day basis, you'll focus on - Building, enhancing, and troubleshooting complex data pipelines Oversee the design and build components, frameworks and libraries at scale to support NIKE products Review design, code, test plans, and dataset implementation performed by other engineers in support of maintaining NIKE engineering standards Anticipate, identify, and troubleshoot complex issues and perform root cause analysis to proactively resolve products and operational issues manage the process of building continuous integration, test-driven development and production deployment frameworks Collaborating with product managers, engineers, analysts to build, enhance and troubleshoot data pipelines Collaborate with senior, lead and principal engineers to define and implement quality standards across data pipelines Contribute towards the design and architecture of data pipelines Implement data quality and reliability measures across data pipelines Show more Show less

Who You’ll Work With A Lead data engineer will work in the Data and Artificial Intelligence organisation of Nike and will focus on building highly complex and performant data pipelines that'll drive Nike's data driven strategies for the future of sports. As a Lead data engineer you will work with your team to build robust data pipelines that are highly efficient and scalable and optimized by following the standards defined by the Principal Engineers. Who We Are Looking For In this role, we are looking for self-driven individuals who have deep technical knowledge in the big data domain. This role requires the individual to be an excellent problem solver who'll design and implement complex data pipelines which solve business problems of Nike. Excellent interpersonal skills and good experience in leading team of engineers and analysts. The core competencies required for this role include - Bachelor’s degree in computer science engineering or equivalent 5-8 years of hands-on experience in data engineering field In depth big data tech stack knowledge Expertise in pyspark and SQL Expertise in databricks, snowflake, airflow, any one of the cloud ( AWS , Azure , GCP ) Excellent written and verbal communication skills What You’ll Work On As a lead data engineer, You will collaborate closely with Architects and principal engineers and the engineering managers to deliver key changes to data pipelines that drive Nike's data strategy. On a day-to-day basis, you'll focus on - Building, enhancing, and troubleshooting complex data pipelines Oversee the design and build components, frameworks and libraries at scale to support NIKE products Review design, code, test plans, and dataset implementation performed by other engineers in support of maintaining NIKE engineering standards Anticipate, identify, and troubleshoot complex issues and perform root cause analysis to proactively resolve products and operational issues manage the process of building continuous integration, test-driven development and production deployment frameworks Collaborating with product managers, engineers, analysts to build, enhance and troubleshoot data pipelines Collaborate with senior, lead and principal engineers to define and implement quality standards across data pipelines Contribute towards the design and architecture of data pipelines Implement data quality and reliability measures across data pipelines Show more Show less

Job Description We are looking for Technical Consultant - Adobe Journey Optimizer, whose role is to help businesses design, implement, and optimize personalized customer journeys using Adobe Journey Optimizer - a powerful tool in the Adobe Experience Platform (AEP) suite. Immediate joiners preferred. This is a Hybrid working model. Responsibilities Provide advisory, consulting, and technical implementation services to customers on Adobe Experience Platform and Adobe Journey Optimizer. Assess customer requirements, pain points, goals and make recommendations on solution architecture, design and roadmap. Configure Adobe Experience Platform services like Identity Service, Data Storage Layer, Profile dataset, Real-time Customer Profile etc. Implement data ingestion from various sources like CRM, MPNs, Website data, Mobile apps using APIs, Experience Data Model (XDM), schemas and mappers. Create customer, visitor and product audiences using segments and AI/ML powered segments Configure destinations to activate audiences in channels like email, Journey Optimizer, Ad Cloud and CRM systems. Implement Journey Optimizer features like journey orchestration, triggers, automations, actions, messages and offers. Develop custom applications, workflows and APIs to extend the platform as per customer needs. Troubleshoot technical issues, debug and optimize performance of customer implementations. Provide post go-live support, enhancements, maintenance and upgrades for customer solutions. Conduct product training, knowledge transfer and share best practices. Continuously track product updates and improve solution recommendations for evolving customer needs. Skills And Experience Required 3-4+ years of extensive implementation experience with Adobe Experience Cloud products especially Adobe Experience Platform and Journey Optimizer. Expertise in deploying, configuring and optimizing all major Experience Platform services and Journey Optimizer features. Strong SQL skills for querying datasets, implementing data transformations, cleansing data, etc. Hands-on experience developing custom applications, workflows and integrations using Experience Platform APIs. Deep familiarity with Adobe Experience Platform and Journey Optimizer technical implementations including: Setting up source connectors and ingesting data using the API and UI. Configuring Experience Events (XDM schemas) for capturing data from sources. Creating audience segments using custom and AI/ML-based segments. Triggering journeys and activations based on segments and profiles. Implementing journey automations, actions and messages o Integrating with destinations like CRM, email, etc. Hands-on experience developing using the Platform APIs and SDKs in a language like: JavaScript for API calls. Java for extending functionality with custom connectors or applications. Expertise in data modelling for multi-channel needs using the Experience Data Model (XDM). Familiarity with configuring IMS authentication to connect external systems to Platform APIs. Experience developing, debugging and optimizing custom server-side applications. Proficiency in JavaScript, JSON, REST APIs and SQL. Expertise ingesting data from sources like Adobe Analytics, CRM, Ad Server, Web and Mobile. Strong understanding of concepts like multi-channel data management, segmentation, orchestration, automation and personalization. Understanding of data structures like: JSON for representing data in APIs, Data Tables for processing tabular data, Streaming data flows. Experience automating technical tasks using tools like: API integration tests, Postman for API testing, Git for source control. Excellent documentation and communication skills with the ability to clearly present technical recommendations to customers. Experience troubleshooting complex technical issues related to APIs, data ingestion, segments, destinations etc. Self-starter with the ability to manage resource constraints, changing priorities and tight deadlines. Problem solving mindset with the ability to constantly improve and optimize deployed solutions. Show more Show less

Job Description AI python Location: Ghansoli, Navi Mumbai Candidate Specification: Candidate must have minimum 5+ years of relevant work experience in Python coding, Machine Learning, Artificial Intelligence, Data Science Job Description: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Analyzing the ML algorithms that could be used to solve a given problem Exploring and visualizing data to gain an understanding of it Verifying data quality, and/or ensuring it via data cleaning Finding available datasets online that could be used for training Defining validation strategies Defining the pre-processing or feature engineering to be done on a given dataset Training models and tuning their hyper parameters Analyzing the errors of the model and designing strategies to overcome them Good knowledge in Deep Learning, Pattern Recognition, Text Analytics Expertise in analytical & Mathematical and Big Data technologies. Ability to design, develop and implement AI / ML algorithms Hands on experience in at least 2-3 Deep Learning & AI Framework Hands on experience on at least 2 ML coding languages Hands on experience on at least 2 - 3 Development Tools Experience on at least 2-3 ML/Data science Tools Experience on at least 2-3 Data Exploration and Visualization tools Skills Required RoleSenior Officer/AVP - AI Python Industry TypeIT/ Computers - Software Functional AreaITES/BPO/Customer Service Required EducationAny Graduates Employment TypeFull Time, Permanent Key Skills PYTHON DEEP LEARNING MACHINE LEARNING DATA SCIENCE Other Information Job CodeGO/JC/21530/2025 Recruiter NameSupraja Show more Show less

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description Job description What You’ll Be Doing The Senior Data Engineer will help build the next generation of cloud-based data tools and reporting for Experian’s MCE contact center division. Valuable, accurate, and timely information is core to our success, and this highly impactful role will be an essential part of that. Delivery pace and meeting our commitments are a primary focus to ensure that we are providing information at the speed of business. As part of this, understanding the business-side logic, environment, and workflows is important, and in effect, we need someone that is an incredible problem solver. If you are a self-driven, determined engineer that loves data, creating cutting edge tools, and moving fast, this position is for you! We are a results-oriented team that is looking to attract and reward high performing individuals. Come join us! Responsibilities Include Complex Dataset Construction: Construct datasets using complex, custom stored procedures, views, and queries. Strong SQL development skills are a must, preferably within Redshift and/or PostgreSQL. Full-stack Data Solutions: Develop full lifecycle data solutions from data ingestion (using custom AWS-based data movement/ETL processes via Glue with Python code) to downstream real-time and historical reports. Business Need to Execution Focus: Understand data-driven business objectives and develop solutions leveraging various technologies and solve for those needs. Along with great problem-solving skills, a strong desire to learn our operational environment is a necessity. Delivery Speed Enablement: Build reusable data-related tools, CI/CD pipelines, and automated testing. Enable DevOps model usage focused on continuous improvement, and ultimately reduce unnecessary dependencies. Shift Security Left: Ensure security components and requirements are implemented via automation up-front as part of all solutions being developed. Focus on the Future: Stay current on industry best practices and emerging technologies and proactively translate those into data platform improvements. Be a Great Team Player: Train team members in proper coding techniques, create proper documentation as needed, and be a solid leader on the team as a senior-level engineer. Support US Operations: Operate partially within US Eastern time zone to ensure appropriate alignment and coordination with the US-based teams. Qualifications Required What your background looks like Extensive experience in modern data manipulation and preparation via SQL code and translating business requirements into usable reports. Solid automation skillset and ability to design and create solutions to drive out manual data/report assembly processes within an organization. Experience constructing reports within a BI tool while also taking ownership of upstream and downstream elements. Able to create CI/CD pipelines that perform code deployments and automated testing. Ability to identify business needs and proactively create reporting tools that will consistently add value. Strong ability and willingness to help others and be an engaged part of the team. Patience and a collaborative personality are a must; we need a true team player that can help strengthen our overall group. Goal-driven individual; must have a proven career track record of achievement. We want the best of the best and reward stellar performers! Skills 3+ years developing complex SQL code required, preferably within Redshift and/or PostgreSQL 1+ years using Python, Java, C#, or other similar object-oriented language CI/CD pipeline construction, preferably using GitHub Actions Git experience General knowledge of AWS Services, with a preference in Glue and Lambda. Infrastructure-as-code (CloudFormation, Terraform, or similar product) a plus Google Looker experience a plus (not required) Qualifications Qualifications We are looking for 4 to 8 years of experience in which 3+ years developing complex SQL code required, preferably within Redshift and/or PostgreSQL 1+ years using Python, Java, C#, or other similar object-oriented language CI/CD pipeline construction, preferably using GitHub Actions General knowledge of AWS Services, with a preference in Glue and Lambda. Infrastructure-as-code (CloudFormation, Terraform, or similar product) a plus Google Looker experience a plus (not required) Additional Information Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here 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 : 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. (ref:hirist.tech) Show more Show less

Role : Senior Java Developer Experience : 4 - 9 years Location : Pune Technical Know-How Core & Advanced Java : Collections, Hibernate, JDBC, Caching, Servlets, REST APIs, Threading, File Operations, Metadata driven concepts, Exception Handling. Knowledge of any framework (preferably Spring : Hands on with JavaScript Formats : Working with XML & JSON data formats using JAVA programs, XSLT : Oracle SQL Aggregation queries, Indexes, Joins, DDL, DMLs, Subqueries Sharding/Partitioning Concepts PL/SQL - Cursors (Nice to have) Job Description Ability to design and implement integration components between various enterprise systems. In dept knowledge of REST API based integrations. Hands on with JavaScript programming Must have done at least 2 end to end implementation for large banks/Insurance companies Working experience & sound understanding of JAVA/J2EE based Oracle products technical stack (XML, JSON, Integration with Oracle products, JAVA). Experience designing and developing Batch and Realtime (REST/SOAP) interfaces for large dataset in BFSI domain. Performance Tuning (Analyzing AWR reports, SQL tuning, Partitioning & Archival, Writing most optimized scalable code, deployments). Ability to understand requirements from business stake holders and convert into technical designs. Able to analyze and convert data into usable format with complex SQL/PL-SQL. Experience in writing & understanding XSLT, developing REST APIs for Inbound and Outbound integrations. Working knowledge of scalable cloud native architecture and design fundamentals. Exposure to Unix / Linux and basic Shell scripting. Able to work with cross geography teams and manage & report workload on daily basis. Adaptable, hard-working, independent, accountable, a strong sense of ownership, confident and strong communication. Adaptability to pick up new technology quickly (Kafka, Spark or new products as per company requirements). Must have exposure to Banking or Financial domain in past projects. Personal Skills Good written & verbal communication Should have a Flexible, Professional Approach. Demonstrated ability to manage teams with a results-oriented track record. About RIA Advisory RIA Advisory LLC (RIA) is a business advisory and technology company that specializes in the field of Revenue Management and Billing for Banking, Payments, Capital Markets, Exchanges, Utilities, Healthcare and Insurance industry verticals. With a highly experienced team in the field of Pricing, Billing & Revenue Management, RIA prioritizes understanding client needs and industry best practices to approach any problem with insight and careful strategic planning. Each one of RIA Advisory's Managing Partners have over 20 years of industry expertise and experience, our leadership and consulting team demonstrate our continued efficiency to serve our clients as a strategic partner especially for transforming ORMB and CC&B space. Our operation are spread across US, UK, India, Philippines, Australia. Services Offered Business Process Advisory for Revenue management processes Technology Consulting & Implementation Help clients transition to latest technology suite and overcome business problems. Managed Services Quality Assurance Cloud Services Product Offered Data Migration and Integration Hub Data Analytics Platform Test Automation Document Fulfilment Customer Self Service Top Industries/Verticals Financial Services Healthcare Energy and Utilities Public Sector Revenue Management. We recognize the impact of technologies on the process & people that drive them, innovate scalable processes & accelerate the path to revenue realization. We value our people and are Great Place to Work Certified. (ref:hirist.tech) Show more Show less

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Senior Associate Talent Acquisition What You Will Do Let’s do this. Let’s change the world. In this vital role you will [be responsible for the recruitment strategy and efforts for Amgen India as well as other positions across Amgen as needed. This position will also play a key role in developing and delivering best-in-class recruitment services to ensure Amgen is positioned to attract and recruit exceptional talent. Roles and Responsibilities': Maintain a consolidated hiring plan dataset, inclusive of records management & the creation of rolling workforce plans Reporting and reconciling hiring plan data, as well as communicating to Hiring Managers and HR Business Partners regarding planned vs actuals requisitions Operating batch recruitment processes and allocation of recruitment support across functions Support the rollout of a new continuous recruitment process, as well as other enhancements to hiring plan administration workflow as required Interface with analytics lead to ensure hiring plan data appropriately supports dashboards on recruitment process Lead data reconciliation processes: Interface with organizational design team to ensure that hiring plan data coheres with organizational design plans of records; Interface with recruitment leads to ensure that TA activity coheres with hiring plan Interface with hiring leads to provide detailed instructions on hiring process & actions required; serve as immediate point of contact & escalation point to ensure key deliverables met Support analytics dashboard review & refinement of source data Provide regular updates to HR leadership on recruitment progress and updates What We Expect Of You We are all different, yet we all use our unique contributions to serve patients. Live What You Will Do Let’s do this. Let’s change the world. In this vital role you will be responsible for the recruitment strategy and efforts for Amgen India as well as other positions across Amgen as needed. This position will also play a key role in developing and delivering best-in-class recruitment services to ensure Amgen is positioned to attract and recruit exceptional talent. Basic Qualifications: Master’s degree and 6 to 9 years of Talent Acquisition / Recruiting experience Previous recruiting experience at the professional and management team level. Experience delivering results by creating, implementing and driving an executive or functional recruitment processes while exhibiting subject matter expertise to influence executives and other business leaders or decision makers. Experience structuring, negotiating and delivering complex offers including a thorough understanding of various compensation levers and company benefits. Knowledge of Client Relationship Manager (CRM) tools such as Eightfold, Applicant Tracking Systems (ATS) such as Workday, LinkedIn Recruiter, Microsoft Office Suite and AI sourcing technologies Soft Skills: Leadership and relationship-building skills with executives, senior leaders, cross-functional partners, and HR teams. Exercise discretion and sound judgment, uses an analytical approach, and has the ability to think proactively and strategically throughout the recruitment and negotiation process. Communication and executive-level presentation skills, with the ability to express ideas in a persuasive, confident, organized, and eloquent manner. 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. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Show more Show less

Calling all innovators – find your future at Fiserv. We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Job Title Data Analyst What does a successful Data Analyst do at Fiserv ? Data Analyst is responsible for identifying any issues or ways to improve the collection, distribution and consumption of data. The data analysts will also monitor performance and quality control plans to identify any issues or ways to improve data orchestrations. This role requires collaborating with architects and developers to implement effective automation processes. What Will You Do Ability to manage time and priorities with multiple tasks and projects, to work with loosely defined requirements. Analyze, query and manipulate financial and business level data. Validate data sets are in synch with sources. Perform reconciliations of defined data. Identify, compare, and resolve data quality problems. Evaluate large dataset for quality and accuracy. Determine business impact level for data quality issues. Work with Programmers to correct data quality errors. Determine root cause for data quality errors and make recommendations for solutions. Research and determine scope and complexity of issue to identify steps to fix issue. Develop process improvements to enhance overall data quality and execute data cleanup measures. Maintain a record of original data and corrected data. Ensure adherence to data quality standards. Identify areas of improvement to achieve data quality. Resolve all internal data exceptions in timely and accurate manner. What Will You Need To Know Bachelor’s Degree or equivalent experience. Must have analytical, problem solving, and team building skills. Ability to work independently, prioritize tasks and solve problems Proficient in MS PowerBI, SQL and Python. Excellent communication (verbal and written), interpersonal, organizational, collaboration, and trouble shooting skills What Would Be Great To Have Exposure to Foundry or Snowflake a plus. Experience in VBA is a plus. We welcome and encourage diversity in our workforce. Fiserv is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protector veteran. Explore the possibilities of a career with Fiserv and Find your Forward with us! Thank You For Considering Employment With Fiserv. Please Apply using your legal name Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable). Our Commitment To Diversity And Inclusion Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. Note To Agencies Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions. Warning About Fake Job Posts Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address. Show more Show less

Do you want to be part of a team which delivers innovative products and machine learning solutions across Microsoft to hundreds of millions of users every month? Microsoft Turing team is an innovative engineering and applied research team working on state-of-the-art deep learning models, large language models and pioneering conversational search experiences. The team spearheads the platform and innovation for conversational search and the core copilot experiences across Microsoft’s ecosystem including BizChat, Office and Windows. As a Principal Applied Scientist in the Turing team, you be pushing & delivering on multiple tight timeline-based hands on data science activity and work, including training models, creating evaluation sets, building infrastructure for training and evaluation, and more. This will involve coordinating & aligning with internal & external data science, product & engineering teams across timezones. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities As a Principal Applied Scientist on our team, you'll be responsible for and will engage in: Driving projects from design through conception, implementation, experimentation and finally shipping to our users. This requires deep diving into data to identify gaps, coming up with heuristics and possible solutions, using LLMs to create the right model or evaluation prompts, and setting up the engineering pipeline or infrastructure to run them. Documenting progress & processing, assisting & guiding junior team members, aligning & unblocking them with other stakeholders in timezones. Coming up with evaluation techniques, datasets, criteria and metrics for model evaluations. These are often SOTA models or metrics / datasets. Hands on pre-training, fine-tuning, use of language models, including dataset creation, filtering, review, and continuous iteration. This may also require understanding of training frameworks, formats, checkpoints, stacks such as megatron. This requires working in a diverse geographically distributed team environment where collaboration and innovation are valued. You will have an opportunity for direct impact on design, functionality, security, performance, scalability, manageability, and supportability of Microsoft products that use our deep learning technology. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 10+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. At least 3+ years of experience delivering team level outcomes. 2+ years of industrial experience coding in C++, C#, C, Java or Python. Prior experience with data analysis or understanding, looking at data from a large-scale systems to identify patterns or create evaluation datasets. Familiarity with common machine learning, deep learning frameworks and concepts, using use of LLMs, prompting. Ability to communicate technical details clearly across organizational boundaries. Preferred Qualifications 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. #MSAI #Turing #LLMs #Modeltraining Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. Show more Show less