2726 Data Science Jobs - Page 26

Get to know the team GrabFin is an aggregate of FinTech businesses spread across 6 countries in S.E. Asia, in the Lending, Payments and Insurance domains. We are excited to provide innovative financial services to all participants of the Grab Ecosystem be it our Drivers, Consumers or Merchants. Our products are built on fundamental market insights combined with data science and engineering to bring the best product market fit across the cross section of our user base. This understanding of our ecosystem combined with world class engineering execution continues to create tremendous value for our customers. The data scientist will work in a relatively flat team structure with an independent goal of building and manage critical data science models daily. You can expect to solve hard technical problems and grow into an expert on both batch and real-time Data Science use cases. You will have experience with technology and data science. You will be reporting to Senior Manager, Data Science. This role is onsite based in Bangalore. Youll develop credit risk scoring models for consumer loans, including PD, LGD, and collection models. Youll work with alternative data sources to boost model signal and accuracy. Your role will involve full ownership of the end-to-end model lifecycle from building and validation to deployment and maintenance. Youll collaborate with business, risk, and operations teams to shape solutions and influence product strategy with your insights. This is an individual contributor role suited for professionals with 8+ years of experience. The Critical Tasks You Will Perform Build predictive models using a mix of machine learning and traditional analytics methods to segregate between Good vs Bad borrowers Build Machine learning & Deep learning models to estimate losses from of a given portfolio. Validate models on new datasets, based on in-market performance. Engineer predictive features from internal data assets to build refined customer profiles. Identify external data assets to bring into the model mix. Drive model governance by collaborating with risk policy, compliance, and audit teams to ensure adherence to regulatory expectations. Identify model gaps or performance drifts and lead model refresh cycles. Present findings to senior leadership with clear articulation of risk trade-offs and growth. Translate model insights into strategic recommendations (e.g., policy changes, pricing levers, customer targeting strategies). Solve previously unsolved analytics problems using best in class data analytics and machine learning methodologies. Read more Skills you need The Essential Skills You Need 8+ years of experience. Deep domain expertise in credit risk modelling across PD, LGD, EAD, and collections Prior experience working in FinTech/credit businesses, especially in digital lending or unsecured loan portfolios Experience applying data science to credit underwriting, risk segmentation, and portfolio management Experience with credit business - lifecycle of a loan, collections process, and credit KPIs like NPL, ECL. Expert in building machine learning and predictive models in Python and Spark is an absolute must. SQL, Presto, Hive proficiency. Sound knowledge of machine learning concepts. Illustrative machine learning concepts/methods are: Bagging, Boosting, Regularisation, Online Learning, Recommendation Engines Experience with LLMs, and Generative AI Experience with model deployment pipelines - using MLFlow, Airflow, or other MLOps tools. Demonstrated experience building machine learning models Understand the trade-offs between model performance and our needs. Mindset is critical for success in this role. Read more What we offer About Grab and Our Workplace Grab is Southeast Asias leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, weve got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. Read more Life at Grab Life at Grab We care about your well-being at Grab, here are some of the global benefits we offer: We have your back with Term Life Insurance and comprehensive Medical Insurance. With GrabFlex, create a benefits package that suits your needs and aspirations. Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges. What we stand for at Grab We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique. #LI-DNI Read more

Youll lead the Data Science function supporting Lending, overseeing credit risk scoring models across PD, LGD, and collections. Youll guide the team in leveraging alternative data to improve model accuracy and signal. Youll lead the full model lifecycle driving strategy, standards, and execution across model development, validation, deployment, and monitoring. Youll partner with business, risk, and ops leaders to shape the credit roadmap and influence decisions with data-driven insights. You are experienced in leading teams while being hands-on when needed. This role is suited for professionals with 10+ years of experience in data science and risk analytics. You will report to Head of Data Science and this role is onsite based in Bangalore. The Critical Tasks You Will Perform Lead the team in building predictive models to separate good vs bad borrowers using ML and traditional methods Drive development of ML and deep learning models for loss estimation across portfolios Oversee model validation and performance monitoring across diverse data sets Guide feature engineering strategies and explore new external data sources Champion model governance in collaboration with risk, compliance, and audit teams Ensure timely identification of performance drifts and lead model refresh cycles Communicate modeling outcomes and trade-offs to senior leadership and key stakeholders Translate analytics into strategic levers policy, pricing, targeting, and credit expansion Set the vision for solving hard data science problems using best-in-class ML techniques Read more Skills you need The Essential Skills You Need Deep domain expertise in credit risk modelling across PD, LGD, EAD, and collections Prior experience working in FinTech/credit businesses, especially in digital lending or unsecured loan portfolios Proven track record of applying data science to credit underwriting, risk segmentation, and portfolio management Expertise in Python for ML model development, with experience building scalable, production-grade solutions Proficient in Spark, SQL, and large-scale distributed data processing frameworks Grasp of advanced ML concepts, including model interpretability, bias mitigation, and performance optimization Experience with ML/DL libraries (scikit-learn, XGBoost, TensorFlow/PyTorch) and guiding teams on their best use Working knowledge of MLOps and orchestration tools (Airflow, MLflow, etc.), with experience standardising model deployment pipelines Exposure to LLMs and Generative AI, with a perspective on their potential applications in credit risk Design of robust, reusable feature pipelines from structured and unstructured data sources Familiarity with Git, CI/CD, and model versioning frameworks as part of scaling DS delivery Mindset and ability to coach team members through complex modelling issues With experience aligning technical outputs with business strategy Read more What we offer About Grab and Our Workplace Grab is Southeast Asias leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, weve got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. Read more Life at Grab Life at Grab We care about your well-being at Grab, here are some of the global benefits we offer: We have your back with Term Life Insurance and comprehensive Medical Insurance. With GrabFlex, create a benefits package that suits your needs and aspirations. Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges. What we stand for at Grab We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique. #LI-DNI Read more

Collect and analyze data from various internal and external sources. Clean and amalgamate data to make it conducive for analysis. Use programming, math, statistical, and analytical skills to interpret data. Design data modeling processes and create algorithms and predictive models. Share meaningful insights with peers and business stakeholders. Collaborate with other teams to understand business needs and provide data-driven solutions. Keep up with current trends and build competency in the team with Proof of Concepts ( PoCs ) and prototypes. Successfully manag e end to end delivery of data models (ML & DL) including architecture, infra. needs, resourcing, budgeting and prioritisation Lead and Guide Machine Learning Engineers with model selection, feature extraction and model building Conceive, plan and prioritize data projects Lead discussions with business stakeholders Build Business problem/need to Data Science problem statement and solution approach Align data projects with organizational goals Job Family Information Technologies & Systems Renault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves. We find strength in our diversity and we are engaged to ensure equal employment opportunities regardless of race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, etc. If you have a disability or special need requiring layout of the workstation or work schedule, please let us know by completing this form. In order to follow in real time the evolution of your applications and to stay in touch with us, we invite you to create a candidate account. This will take you no more than a minute and will also make it easier for you to apply in the future.

Enable AI adoption in various areas of the organisation Manage a team of data analysts and data scientists Competency development - d eveloping p eople through c oaching and m entoring in Computer Vision and Deep Learning Successfully manag e end to end delivery of data models ( CV & DL) including architecture, infra. needs, resourcing, budgeting and prioritisation Lead and Guide all Computer Vision, Image and Video Analytics projects. Keep up with current trends and build competency in team with PoC s / P oC s /Prototypes Lead discussions with business stakeholders Build Business problem/need to Data Science problem statement and solution approach Align data projects with organizational goals Job Family Information Technologies & Systems Renault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves. We find strength in our diversity and we are engaged to ensure equal employment opportunities regardless of race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, etc. If you have a disability or special need requiring layout of the workstation or work schedule, please let us know by completing this form. In order to follow in real time the evolution of your applications and to stay in touch with us, we invite you to create a candidate account. This will take you no more than a minute and will also make it easier for you to apply in the future.

We are seeking an experienced and highly skilled Senior Data Scientist to drive data-driven decision-making and innovation. In this role, you will leverage your expertise in advanced analytics, machine learning, and big data technologies to solve complex business challenges. You will be responsible for designing predictive models, building scalable data pipelines, and uncovering actionable insights from structured and unstructured datasets. Collaborating with cross-functional teams, your work will empower strategic decision-making and foster a data-driven culture across the organization. Role & responsibilities 1. Data Exploration and Analysis: Collect, clean, and preprocess large and complex datasets from diverse sources, including SQL databases, cloud platforms, and APIs. Perform exploratory data analysis (EDA) to identify trends, patterns, and relationships in data. Develop meaningful KPIs and metrics tailored to business objectives. 2. Advanced Modeling and Machine Learning: Design, implement, and optimize predictive and prescriptive models using statistical techniques and machine learning algorithms. Evaluate model performance and ensure scalability and reliability in production. Work with both structured and unstructured data for tasks such as text analysis, image processing, and recommendation systems. 3. Data Engineering and Automation: Build and optimize scalable ETL pipelines for data processing and feature engineering. Collaborate with data engineers to ensure seamless integration of data science solutions into production environments. Leverage cloud platforms (e.g., AWS, Azure, GCP) for scalable computation and storage. 4. Data Visualization and Storytelling: Communicate complex analytical findings effectively through intuitive visualizations and presentations. Create dashboards and visualizations using tools such as Power BI, Tableau, or Python libraries (e.g., Matplotlib, Seaborn, Plotly). Translate data insights into actionable recommendations for stakeholders. 5. Cross-functional Collaboration and Innovation: Partner with business units, product teams, and data engineers to define project objectives and deliver impactful solutions. Stay updated with emerging technologies and best practices in data science, machine learning, and AI. Contribute to fostering a data-centric culture within the organization by mentoring junior team members and promoting innovative approaches. Preferred candidate profile Proficiency in Python, R, or other data science programming languages. Strong knowledge of machine learning libraries and frameworks (e.g., Scikit-learn, Tensor Flow, PyTorch). Advanced SQL skills for querying and managing relational databases. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP), preferably MS Azure. Familiarity with data visualization tools such as Power BI, Tableau, or equivalent, preferably MS Power BI. Analytical and Problem-solving Skills: Expertise in statistical modeling, hypothesis testing, and experiment design. Strong problem-solving skills to address business challenges through data-driven solutions. Ability to conceptualize and implement metrics/KPIs tailored to business needs. Soft Skills: Excellent communication skills to translate complex technical concepts into business insights. Collaborative mindset with the ability to work in cross-functional teams. Proactive and detail-oriented approach to project management and execution. Education and Experience: Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 8+ years of experience in data science, advanced analytics, or a similar field. Proven track record of deploying machine learning models in production environments. Perks & Benefits Best as per market standard. Work from home opportunity. 5 days working. Shift Timing 2PM-11PM IST (Flexible hours)

In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

PositionDecision Scientist Roles and Responsibilities:- Regular analysis of the transaction and customer behaviour data to identify the key fraud trends and develop strategies to prevent the fraud and reduce genuine customer impact. Develop key fraud metrics across different merchant categories and communicate portfolio trends with the respective stakeholders. Support ad hoc analytical projects. Interact with cross functional teams (product, tech, operation, compliance, business) to develop fraud risk solutions. Proactively identify opportunities to enhance the current fraud risk management process. Explore new tools and features for better fraud prevention. Work closely with the business team in developing strategies for the new product launch. Skills and Qualifications:- Bachelor’s in engineering or Master's degree in Management, Maths, Statistics or related quantitative discipline. You must have 3+ years of experience in data analytics / risk analytics / business analytics. Proficient in SQL. Should be able to write queries to manipulate and consolidate data from multiple data sources. Excellent Excel skills. Strong quantitative abilities, distinctive problem-solving and excellent analytical skills. Strong organisational, communication, presentation and project management skills. Good working knowledge of programming languages like Python, R, SAS. Theoretical and practical knowledge of statistical techniques such as regression, segmentation, forecasting. Working experience with BI tools (QlikView/Tableau/PowerBI/ QlikSense etc) will be an added advantage. PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog. Life at PhonePe PhonePe in the news

About the Team- The PhonePe T&S Decision Sciences team is a part of the Trust & Safety team which is a high impact team which makes extensive use of data, statistical and quantitative analysis, rules-based methods, and explanatory and predictive modeling to identify and mitigate the fraud, risk and abuse patterns visible on PhonePe platform. Our work increasingly employs specialized competencies, such as advanced analytics, data visualization, application development, and geographical trend analysis. As a key member of the PhonePe T&S Decision Sciences team, you will spearhead significant data driven projects focused on safeguarding the platform for merchants and detecting abusive behaviors. If you're passionate about developing processes and digital tools to enhance the understanding of financial transactions and identify impactful trends affecting millions of customers and merchants, and if you’re eager to collaborate with top professionals to turn your vision into reality swiftly and purposefully, we invite you to join us! Roles & Responsibilities: Own the fraud, risk and abuse for the entire platform across all BU and fraud MOs Guide and mentor the team to develop strategies to detect, action and resolve end to end risk across the platform and stakeholders. Align senior leadership across the platform with T&S goals and objectives. Supervise, lead and align teams to meet overall T&S goals. Work closely with the Engineering, Business, Operations, Product, Data Science teams to build capabilities that help with prediction, early detection, quick resolution and governance solutions. Manage a diverse set of requirements, assess their importance, and prioritize them based on business objectives and available resources. Evaluate trade-offs involved with every decision and articulate with supporting data to enable decision making for senior leaders. Establish processes and frameworks team efficiency and productivity. Analyze data to detect fraud patterns and conduct a root cause analysis and execute short term and long term resolutions for the team. Ability to understand and follow industry best practices for Fraud Prevention. Leverage information from regulatory changes, new regulations and internal policy changes to better identify new key risk areas. Education & Preferred Qualifications: include, but are not limited to: Bachelor’s in engineering or Master's degree in Management, Mathematics, Statistics or related quantitative discipline 10+ years of experience working closely with data and data derived decision making, communicating and contextualizing complexity to business leaders to enable the decision making. Strong quantitative abilities, distinctive problem-solving and excellent analytics skills Strong organizational, communication, presentation and project management skills Ability to work independently and to liaise with other departments and coordinate with various business stakeholders (internal / external). Candidates should have demonstrated experience to work with Fraud and Risk Functions, technology and analytics Experience in developing and implementing successful fraud prevention and detection strategies will be a plus PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog. Life at PhonePe PhonePe in the news

The Data Analyst will support the organization's data management and governance initiatives by analyzing data, resolving issues, and ensuring compliance with policies and standards. This role focuses on ensuring data accuracy, monitoring data handling processes, and contributing to the continuous improvement of data management practices. The ideal candidate will possess strong analytical skills, attention to detail, and a passion for problem-solving. About the Role : In this opportunity, As a Data Analys you will Assist in adherence to Data Management Policies and Procedures, contributing insights and updates for process improvements. Analyze and monitor in-scope data questions, issues, and requests, ensuring timely and accurate resolutions. Conduct preliminary Data Risk and Control Assessments to identify potential issues and suggest remediation steps. Support efforts to align data handling practices with applicable laws, regulations, and internal guidelines. Collaborate with stakeholders from Business, Customer Segments, and Data & Analytics teams to ensure data consistency and alignment. Provide support in team collaborations to create value through efficient data management processes. Track and report on Key Performance Indicators (KPI) and Key Risk Indicators (KRI) to help measure and improve data governance effectiveness. Escalate unresolved issues or roadblocks to appropriate team members for further action. About you: You will be fit for the role, if your background includes Bachelor's degree in Data Analytics, Information Systems, or a related field. 4-6 years of experience in data analysis, data governance, or related fields. Basic knowledge of data governance frameworks, risk management, and compliance standards. Strong analytical and problem-solving skills, with attention to detail. Excellent communication and interpersonal skills, with the ability to work collaboratively in a team environment. Knowledge/experience in Alteryx preferred Expert level Excel user #LI-VGA1 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Senior Data Scientist Enterprise Analytics Want to be part of the Data & Analytics organization, whose strategic goal is to create a world-class Data & Analytics company by building, embedding, and maturing a data-driven culture across Thomson Reuters. We are looking for a highly motivated individual with strong organizational and technical skills for the position of Senior Data Scientist. You will play a critical role working on cutting edge of analytics, leveraging predictive models, machine learning and generative AI to drive business insights and facilitating informed decision-making and help Thomson Reuters rapidly scale data-driven initiatives. About the Role In this opportunity as Senior Data Scientist, you will: Engage with stakeholders, business analysts and project team to understand the data requirements. Work in multiple business domain areas including Customer Service, Finance, Sales and Marketing. Design analytical frameworks to provide insights into a business problem. Explore and visualize multiple data sets to understand data available and prepare data for problem solving. Build machine learning models and/or statistical solutions. Build predictive models, generative AI solutions. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI. Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. About You You're a fit for the role of Senior Data Scientist if your background includes: Experience- 6-8 Years in the field of Machine Learning & AI Must have a minimum of 3 years of experience working in the data science domain Degree preferred in a quantitative field (Computer Science, Statistics, etc.) Both technical and business acumen is required Technical skills Proficient in machine learning, statistical modelling, data science and generative AI techniques Highly proficient in Python and SQL Experience with Tableau and/or PowerBI Has worked with Amazon Web Services and Sagemaker Ability to build data pipelines for data movement using tools such as Alteryx, GLUE Experience Predictive analytics for customer retention, upsell/cross sell products and new customer acquisition, Customer Segmentation, Recommendation engines (customer and AWS Personalize), POCs in building Generative AI solutions (GPT, Llama etc.,) Hands on with Prompt Engineering Experience in Customer Service, Finance, Sales and Marketing Additional Technical skills include Familiarity with Natural Language Processing including Feature Extraction techniques, Word Embeddings, Topic Modeling, Sentiment Analysis, Classification, Sequence Models and Transfer Learning Knowledgeable of AWS APIs for Machine Learning Has worked with Snowflake extensively. Good presentation skills and the ability to tell stories using data and Powerpoint/Dashboard Visualizations. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Consulting Experience with a premier consulting firm. #LI-SS5 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

The Manager, Software Development Engineering leads a team of technical experts in successfully executing technology projects and solutions that align with the strategy and have broad business impact. The Manager, Software Development Engineering will work closely with development teams to identify and understand key features and their underlying functionality while also partnering closely with Product Management and UX Design. They may exercise influence and govern overall end-to-end software development life cycle related activities including management of support and maintenance releases, minor functional releases, and major projects. The Manager, Software Development Engineering will lead & provide technical guidance for process improvement programs while leveraging engineering best practices. In this people leadership role, Managers will recruit, train, motivate, coach, grow and develop Software Development Engineer team members at a variety of levels through their technical expertise and providing continuous feedback to ensure employee expectations, customer needs and product demands are met. About the Role: Lead and manage a team of engineers, providing mentorship and fostering a collaborative environment. Design, implement, and maintain scalable data pipelines and systems to support business analytics and data science initiatives. Collaborate with cross-functional teams to understand data requirements and ensure data solutions align with business goals. Ensure data quality, integrity, and security across all data processes and systems. Drive the adoption of best practices in data engineering, including coding standards, testing, and automation. Evaluate and integrate new technologies and tools to enhance data processing and analytics capabilities. Prepare and present reports on engineering activities, metrics, and project progress to stakeholders. About You: Proficiency in programming languages such as Python, Java, or Scala. Data Engineering with API & any programming language. Strong understanding of APIs and possess forward-looking knowledge of AI/ML tools or models and need to have some knowledge on software architecture. Experience with cloud platforms (e.g., AWS,Google Cloud) and big data technologies (e.g., Hadoop, Spark). Experience with Rest/Odata API's Strong problem-solving skills and the ability to work in a fast-paced environment. Excellent communication and interpersonal skills. Experience with data warehousing solutions such as BigQuery or snowflakes Familiarity with data visualization tools and techniques. Understanding of machine learning concepts and frameworks. #LI-AD2 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

The Data Scientist organization within the Data and Analytics division is responsible for designing and implementing a unified data strategy that enables the efficient, secure, and governed use of data across the organization. We aim to create a trusted and customer-centric data ecosystem, built on a foundation of data quality, security, and openness, and guided by the Thomson Reuters Trust Principles. Our team is dedicated to developing innovative data solutions that drive business value while upholding the highest standards of data management and ethics. About the role: Work with low to minimum supervision to solve business problems using data and analytics. Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing. Work with various business stakeholders, to understand and document requirements. Design an analytical framework to provide insights into a business problem. Explore and visualize multiple data sets to understand data available for problem solving. Build end to end data pipelines to handle and process data at scale. Build machine learning models and/or statistical solutions. Build predictive models. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. Work collaboratively with other team members. About you: Overall 3+ years' experience in technology roles. Must have a minimum of 1 years of experience working in the data science domain. Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK. Highly proficient in Python. Highly proficient in SQL. Experience with Tableau and/or PowerBI. Has worked with Amazon Web Services and Sagemaker. Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica. Proficient in machine learning, statistical modelling, and data science techniques. Experience with one or more of the following types of business analytics applications: Predictive analytics for customer retention, cross sales and new customer acquisition. Pricing optimization models. Segmentation. Recommendation engines. Experience in one or more of the following business domains Customer Experience and Service. Finance. Operations. Good presentation skills and the ability to tell stories using data and PowerPoint/Dashboard Visualizations. Excellent organizational, analytical and problem-solving skills. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Ability to excel in a fast-paced, startup-like environment. #LI-SS5 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Want to be part of the Data & Analytics organization, whose strategic goal is to create a world-class Data & Analytics company by building, embedding, and maturing a data-driven culture across Thomson ReutersDo you have a passion for ensuring AI systems are robust, reliable, and responsible We are looking for a highly motivated individual with strong analytical and technical skills for the position of AI Validation Engineer. You will play a critical role in evaluating the performance, accuracy, and fairness of our AI solutions, including the AI Assistant and its associated skills. You will help ensure that our AI systems meet the highest standards of quality and align with our responsible AI principles. About the Role In this opportunity as AI Governance and Ethics Engineer, you will Collaborate with data scientists, AI engineers, and product managers to understand AI system requirements and functionalities. Develop and execute comprehensive test plans to assess the performance, accuracy, robustness, and fairness of AI models and applications. Design and implement automated testing frameworks for efficient and continuous AI validation. Analyze AI model outputs, identify potential biases, errors, or limitations, and provide actionable feedback to the development team. Contribute to the development and implementation of responsible AI guidelines and best practices within the organization. Stay abreast of the latest advancements in AI validation techniques and technologies. Document testing procedures and results clearly and concisely. Collaborate with stakeholders to address and resolve identified AI validation issues. About You You're a fit for the role of AI Governance and Ethics Engineer if your background includes Act as a model governance consultant and educator on model projects Ensure end-end model flows within these projects are aligned and controlled effectively Ensure that Policies, Standards and Guiding Principles are applied within the solution designs Work with cross-functional model stewards to monitor and manage model health within your portfolio Take ownership of the model issue management and resolution process within your portfolio Collaborate with members in the business domains to encourage and ensure Responsible AI practices, processes and procedures are followed Drive education/behavioural change in the wider TR community, towards a de-centralized data rights & responsibilities culture Work with the compliance partners (Operations & Assurance, Policy & Ethics, Stewardship, legal) to draft or amend policies, standards and model control proposals, to meet business model needs Work with the Ai Enablement team to drive best practices and compliance with model policies and standards within your portfolio Identify opportunities to improve efficiencies, advancements and automation #LI-VGA1 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

About the Role: Grade Level (for internal use): 10 The Team: S&P Global Commodity Insights provides essential intelligence for global commodity markets. Our team ensures data accuracy, consistency, and accessibility while driving innovation through technologies and data governance practices. Joining this team provides you the opportunity to play a key role in advancing the future of commodity data and analytics in an innovative and evolving landscape. Responsibilities and Impact: This position requires a proactive approach to data quality, security, and usability, supporting the organization in leveraging data as a strategic asset. As a Data Governance Analyst, you will ensure the data is accurate, secure, and compliant with regulations. By implementing governance frameworks, youll safeguard business data, improve data quality, and mitigate privacy risks. Your work will foster a culture of data accountability, collaborating with teams and leadership to align governance practices with business goals, enabling informed decision-making and supporting compliance. Implement and Manage Data Governance Frameworks Lead the development and implementation of data governance policies, standards, and procedures to ensure data quality, privacy, and security across the organization. Data Quality Assurance Develop and manage processes to assess and improve data quality, ensuring that all business-critical data is accurate, consistent, and accessible for decision-making. Resolve Data Issues Identify, Analyse, and resolve data-related issues, providing solutions for discrepancies and promoting best practices in data handling. Collaborate with Cross-functional Teams Work closely with IT, data science, and business teams to drive data governance initiatives and foster a culture of data stewardship and accountability. Ensure Compliance and Risk Mitigation Monitor and enforce compliance with regulations, such as GDPR and CCPA, mitigating risks related to data privacy and regulatory compliance. Drive Data Quality Improvement Develop and manage processes to assess and improve data quality, ensuring that all business-critical data is accurate, consistent, and accessible for decision-making. Exposure to Senior Leadership and Global Stakeholders Regularly interact with senior decision-makers, policy experts, and market leaders, gaining valuable experience and visibility in a high-stakes, global environment. Growth and Professional Development Gain expertise in data management tools and methodologies, with opportunities for continuous learning, career progression, and involvement in strategic data governance initiatives on a global scale. What Were Looking For: Basic Required Qualifications: Bachelor's degree 3-5 years of experience in data governance, data quality, data preparation, and data classification. Proficiency in data management and governance principles and current industry trends. Strong understanding of data management tools, data governance frameworks (e.g., DAMA), databases, and data privacy regulations. Experience with data quality management, data classification and metadata management. Proven ability to manage multiple business stakeholders, actively engaging with and aligning enterprise senior leadership to drive data governance initiatives. Strong collaborative mindset with a structured approach to problem-solving. Innovative thinker, capable of working effectively across teams and geographies. Additional Preferred Qualifications: Knowledge of applications such as Salesforce, Marketo, Cvent, commercial platforms and One trust. Proficient in MS Excel, MS PowerPoint, and visualising tools such as Power BI/ Tableau. Ability to work in an agile environment with focus on LEAN approach. Excellent written and verbal communication skills Certifications:- Data Governance and Stewardship Professional Certified Data Governance Practitioner Salesforce Administrator or associate certification Gen AI Shift Timings: 8:30AM EST-5:30 PM EST (Flexibility required) About S&P Global Commodity Insights At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value. Were a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights coverage includes oil and gas, power, chemicals, metals, agriculture and shipping. S&P Global Commodity Insights is a division of S&P Global (NYSESPGI). S&P Global is the worlds foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the worlds leading organizations navigate the economic landscape so they can plan for tomorrow, today.For more information, visit http://www.spglobal.com/commodity-insights . Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe 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: 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 cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure 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 PerksIts 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 BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP103.1 - Middle Management Tier I (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

About the Role: Grade Level (for internal use): 09 The Team: This Team is responsible for providing data to you end customer who use this data to make decisions which powers their businesses. The Team supports the integrity and comprehensiveness of the data set by utilizing internal & external sources such as government & regulatory documents, stock exchanges, industry journals, analyst reports as well as information databases and our internal research tools to collect, summarize, and synthesize relevant information. You will gain exposure to different reports of covered Industries, while having frequent interaction with people from across the organization to learn the industry dynamics and create a symbiotic work culture. The Impact: This role will involve working with the team and the manager on a variety of initiatives related to the process, people, and projects within the team. This is an opportunity to work on Core domain related projects and become a subject matter expert of the Fundamentals data collection team. It also includes an opportunity towards understanding business objectives, recommending & implementing solutions to business problems. It gives you opportunities to ideate and implement projects to achieve higher accuracy of dataset and faster completion of processes. Accountability would be towards understanding and owning the business objectives; being a role model for people and peer group; communicating with passion and enthusiasm, embracing change as a way of working; and leading by example when communicating new initiatives. Responsibilities: Present and execute ideas for improving overall departmental processes, procedures, and tools. Continuously implement and innovate techniques to maximize quality. Manages the domain assessment reviews, identify individual training needs, and increase domain quotient of the team members through regular trainings in collaboration with the Leadership team. Conduct regular trainings for the team and new joiners within the team. Interact with internal and external clients as necessary and works on new projects and data enhancement initiatives as assigned. Maintain relationship with clients and fully own the service delivery of client processes/projects. Act as a subject matter expert and help solve a variety of problems. Provide solutions based on best practices and existing precedents. Coordinate and manage projects from start to finish. Maintains high ethical standards both personally and professionally, to maintain transparency in the team. Ensure clear and seamless communication across levels and teams. Dedication to fostering an inclusive culture and value diverse perspectives. What were looking for: Thorough knowledge of Financial data collection methodologies (must have). Result oriented, dedicated, hardworking who can work on own initiative and can deliver on time, under pressure with a high level of integrity and flexibility, sense of urgency, attention to detail and quality standards. Self-starter, quick learner with a progressive mindset. Strong delivery skills with ability to balance multiple partners. Excellent communication, presentation, and negotiation skills. Conceptual thinking and analytical skills - Ability to address tasks and challenges with a clear and comprehensive methodology. Readiness to take on challenges and to challenge the status quo. Self-motivated individual with proven ability to multi-task and balance various aspect of work while delivering highest quality result. Ability to work well within the context of a global team. Ability to adapt to change and drive change within the team. Preferred Experience/Qualification: PG degree in commerce or business administration/management. Basic knowledge of Excel and SQL. Basic understanding on lean principles, Blue Prism, Python, Tableau, and Six Sigma certification would be an added advantage. Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe 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: 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 cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure 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 PerksIts 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 BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

About the Role: Grade Level (for internal use): 09 Role Python Developer The Team: Join our innovative and collaborative team at S&P Global's IT - Enterprise Technology department. We pride ourselves on fostering a culture that values excellence, teamwork, and continuous learning. Our team is dedicated to pushing the boundaries of AI technology and delivering impactful solutions that drive business success. : We are seeking a motivated and talented Senior Software Engineer to join our team and assist with development and deployment of GenAI projects. This is an excellent opportunity for someone looking to gain hands-on experience in cutting-edge AI technologies and cloud solutions. Responsibilities and Impact: Assist in the development and implementation of GenAI projects, contributing to the advancement of AI capabilities within the organization. Write clean, efficient, and maintainable code in Python to support various AI initiatives. Collaborate with the team to design and implement cloud-based solutions. Deploy and manage code using GIT, ensuring seamless integration and version control. Participate in code reviews and contribute to improving coding standards, fostering a culture of excellence. Troubleshoot and debug issues related to code and cloud infrastructure, ensuring system reliability. Document processes, code changes, and project updates to facilitate knowledge sharing and transparency. What Were Looking For: Basic Required Qualifications: Bachelors degree in Computer Science, Engineering, or a related field, or equivalent work experience. Minimum 3 to 5 years of experience in data science roles. Strong programming skills in Python. Knowledge and working understanding of ML algorithms and NLP. Advanced knowledge of various services in a Cloud platform, preferably AWS. Experience with version control systems, particularly GIT. Familiarity with software design patterns and principles Completed projects using open/closed source Gen AI models. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Additional Preferred Qualifications: Experience with AI frameworks such as Langchain, LamaIndex Knowledge of containerization technologies like Docker. Understanding of CI/CD pipelines and DevOps practices. Familiarity with Terraform and infrastructure as code (IaC) principles Benefits: Gain hands-on experience with GenAI projects and cloud technologies. Work in a collaborative and innovative environment. Opportunity to learn from experienced professionals in the field. Access to professional development opportunities. 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, andmake decisions with conviction.For more information, visit www.spglobal.com/marketintelligence . Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe 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: 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 cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure 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 PerksIts 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 BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

About the Role: Grade Level (for internal use): 12 Lead Agentic AI Developer LocationGurgaon, Hyderabad and Bangalore : A Lead Agentic AI Developer will drive the design, development, and deployment of autonomous AI systems that enable intelligent, self-directed decision-making. Their day-to-day operations focus on advancing AI capabilities, leading teams, and ensuring ethical, scalable implementations. Responsibilities AI System Design and Development Architect and build autonomous AI systems that integrate with enterprise workflows, cloud platforms, and LLM frameworks. Develop APIs, agents, and pipelines to enable dynamic, context-aware AI decision-making. Team Leadership and Mentorship Lead cross-functional teams of AI engineers, data scientists, and developers. Mentor junior staff in agentic AI principles, reinforcement learning, and ethical AI governance. Customization and Advancement Optimize autonomous AI models for domain-specific tasks (e.g., real-time analytics, adaptive automation). Fine-tune LLMs, multi-agent frameworks, and feedback loops to align with business goals. Ethical AI Governance Monitor AI behavior, audit decision-making processes, and implement safeguards to ensure transparency, fairness, and compliance with regulatory standards. Innovation and Research Spearhead R&D initiatives to advance agentic AI capabilities. Experiment with emerging frameworks (e.g.,Autogen, AutoGPT, LangChain), neuro-symbolic architectures, and self-improving AI systems. Documentation and Thought Leadership Publish technical white papers, case studies, and best practices for autonomous AI. Share insights at conferences and contribute to open-source AI communities. System Validation Oversee rigorous testing of AI agents, including stress testing, adversarial scenario simulations, and bias mitigation. Validate alignment with ethical and performance benchmarks. Stakeholder Leadership Collaborate with executives, product teams, and compliance officers to align AI initiatives with strategic objectives. Advocate for AI-driven innovation across the organization. What Were Looking For : REQUIRED S/QUALIFICATIONS Technical Expertise : 8+ years as a Senior AI Engineer , ML Architect , or AI Solutions Lead , with 5+ years focused on autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines). Expertise in Python (mandatory) and familiarity with Node.js . Hands-on experience with autonomous AI tools LangChain, Autogen, CrewAI, or custom agentic frameworks. Proficiency in cloud platforms AWS SageMaker (most preferred), Azure ML, or Google Cloud Vertex AI. Experience with MLOps pipelines (e.g., Kubeflow, MLflow) and scalable deployment of AI agents. Leadership Proven track record of leading AI/ML teams, managing complex projects, and mentoring technical staff. Ethical AI Familiarity with AI governance frameworks (e.g., EU AI Act, NIST AI RMF) and bias mitigation techniques. Communication Exceptional ability to translate technical AI concepts for non-technical stakeholders. Nice to have : Contributions to AI research (published papers, patents) or open-source AI projects (e.g., TensorFlow Agents, AutoGen). Experience with DevOps/MLOps toolsKubeflow, MLflow, Docker, or Terraform. Expertise in NLP, computer vision, or graph-based AI systems. Familiarity with quantum computing or neuromorphic architectures for AI. Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe 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: 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 cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure 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 PerksIts 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 BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged 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 ----------------------------------------------------------- 10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH103.2 - Middle Management Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

We are seeking a highly skilled Senior Data Science Consultant with 8+ years of experience to lead an internal optimization initiative. The ideal candidate should have a strong background in data science, operations research, and mathematical optimization, with a proven track record of applying these skills to solve complex business problems. This role requires a blend of technical depth, business acumen, and collaborative communication. A background in internal efficiency/operations improvement or cost/resource optimization projects is highly desirable. Key Responsibilities Lead and contribute to internal optimization-focused data science projects from design to deployment. Develop and implement mathematical models to optimize resource allocation, process performance, and decision-making. Use techniques such as linear programming, mixed-integer programming, heuristic and metaheuristic algorithms. Collaborate with business stakeholders to gather requirements and translate them into data science use cases. Build robust data pipelines and use statistical and machine learning methods to drive insights. Communicate complex technical findings in a clear, concise manner to both technical and non-technical audiences. Mentor junior team members and contribute to knowledge sharing and best practices within the team. Required Skills And Qualifications Masters or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or related fields. Minimum 8 years of relevant experience in data science, with a strong focus on optimization. Expertise in Python (NumPy, Pandas, SciPy, Scikit-learn), SQL, and optimization libraries such as PuLP, Pyomo, Gurobi, or CPLEX. Experience with end-to-end lifecycle of internal optimization projects. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Preferred Qualifications Experience working on internal company projects focused on logistics, resource planning, workforce optimization, or cost reduction. Exposure to tools/platforms like Databricks, Azure ML, or AWS SageMaker. Familiarity with dashboards and visualization tools like Power BI or Tableau. Prior experience in consulting or internal centers of excellence (CoE) is a plus. Additional Notes This is a contractual/project-based role and not a permanent/full-time position. Compensation will be finalized post-interview, based on mutual agreement and project scope. The project may be divided into phases, with compensation linked to successful milestone completion. Skills: data science , communication , mentoring , optimization , metaheuristic algorithms,sql,linear programming,data pipelines,python,machine learning,mathematical optimization,mixed-integer programming,operations research,statistical methods,heuristic algorithms

Role Summary Join Quantiums India leadership team in shaping the future of data-drive business operations. The Data Systems Lead (India) is pivotal in executing Quantium's internal data and systems transformation strategy, working as part of a globally distributed team to ensure our corporate data ecosystem supports business growth and operational excellence. This role will lead and develop the India-based analytics operations team, working closely with the Australia-based leadership team to deliver high-quality data integration, system maintenance, and analytical solutions across Quantium's internal systems ecosystem. The successful candidate will combine strong technical analytics engineering capabilities with stakeholder management skills, enabling them to work autonomously with business stakeholders when requirements need clarification whilst maintaining close collaboration with the Australian leadership team. This role is critical to Quantium's India growth strategy, building local capability whilst maintaining global standards and connectivity. The position is designed to support both professional excellence and personal fulfilment, with flexible working arrangements and a commitment to inclusive leadership development. Key Responsibilities Team Leadership & Talent Development Guide and develop a team of 3-5 analysts focused on internal data systems and operations Recruit and nuture local India talent, including analysts similar to current team members Foster a culture of continuous improvement and operational excellence within the India operations team Partner closely with Australian squad leaders on resource planning and capability development Data Systems & Analytics Engineering Execute and enhance data integration strategies across Quantium's internal systems ecosystem (Kantata, HubSpot, Anaplan, HRMS, Finance systems) Orchestrate ETL processes, data quality monitoring, and system maintenance operations Ensure data consistency and integrity across the corporate data warehouse Drive automation of manual processes and implement operational efficiencies Stakeholder Engagement Collaborate with Australian leadership team to understand and translate business requirements Engage directly with internal business stakeholders across verticals when requirements need clarification Participate actively in regular forums with Finance, People & Culture, and vertical teams to gather feedback and requirements Support change management initiatives related to systems transformation Operational Excellence Coordinate day-to-day operations of internal data systems and reporting processes Monitor and resolve data quality issues, implementing systematic approaches to problem-solving Support month-end financial processes, management reporting, and compliance requirements Maintain adherence to Quantium's data governance and security standards Key activities Strategic Execution Execute business plans for foundational internal data assets including corporate data management, system integrations, and operational reporting Support the development of the internal data and systems roadmap based on business requirements Coordinate with global teams on system enhancements and new implementations Team Management Recruit and develop local analytics talent with strong ETL and data integration capabilities Create development plans and objectives aligned with operational excellence and business support objectives Provide coaching and mentorship to develop team members' technical and stakeholder management capabilities Build inclusive teams that leverage diverse perspectives and experiences Manage resource allocation across multiple internal projects and business-as-usual operations Technical Delivery Oversee technical designs for data integration solutions and system enhancements Ensure quality standards are maintained across all data processes and deliverables Champion best practices for analytics engineering and data operations Support troubleshooting and resolution of complex data and system issues Qualifications Essential Requirements Analytics Engineering Foundation : Strong experience in ETL development, data integration, and analytics engineering practices Enterprise Systems Knowledge : Previous experience working with ERP systems, enterprise applications, or corporate data ecosystems Team Leadership and Development : Proven experience managing and developing analytics teams (3+ people) Data Integration Expertise : Strong understanding of data structures, data transformation, and system integration patterns Stakeholder Partnership : Demonstrated ability to work with business stakeholders and translate requirements into technical solutions Cross-cultural Communication : Comfort working across time zones and cultural contexts Highly Desirable Experience with enterprise applications such as Kantata (or similar PSA tools), HubSpot, Anaplan, or HRMS systems Background in finance or HR data management and reporting Experience in professional services or consulting environments Previous experience working in globally distributed teams Understanding of data governance and compliance requirements Experience mentoring and developing junior team members Skills Required Data Engineering : Proficiency in SQL, data transformation tools, and ETL processes Analytics Tools : Experience with data analysis and reporting tools System Integration : Understanding of API integrations and data warehouse concepts Problem Solving : Strong systematic approach to troubleshooting data and system issues Data Quality : Experience implementing data quality monitoring and improvement processes

Date Location: Bangalore, KA, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Could you be the full-time **Data Solutions Manager** in **[Insert Location]** were looking for Take on a new challenge and apply your **data science and technical leadership** expertise in a cutting-edge field. Youll work alongside **collaborative and innovative** teammates. You'll play a pivotal role in shaping and sustaining advanced data solutions that drive our industrial programs. Day-to-day, youll work closely with teams across the business (**engineering, IT, and program management**), **define and develop scalable data solutions**, and much more. Youll specifically take care of **designing production-grade, cyber-secure data solutions**, but also **applying AI techniques to enhance data utilization for key indicators**. Well look to you for: Managing the team to ensure technical excellence and process adherence Designing scalable, multi-tenant data collectors and storage systems Building streaming and batch data processing pipelines Developing SQL and NoSQL data models Assessing and enhancing the quality of incoming data flows Applying advanced AI techniques and data management/security components Creating customizable analytical dashboards Evaluating opportunities presented by emerging technologies Implementing strong testing and quality assurance practices All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: Engineering degree or equivalent 8+ years of experience in IT, digital companies, software, or startups Proficiency in data processing and software development using tools like QlikSense, PowerApps, Power BI, or Java/Scala Experience with Apache Spark and other data processing frameworks Strong statistical skills (e.g., probability theories, regression, hypothesis testing) Expertise in machine learning techniques and algorithms (e.g., Logistic Regression, Decision Trees, Clustering) Proficiency in data science methods (CRISP-DM, feature engineering, model evaluation) Experience with Python and R libraries (NumPy, Pandas, Scikit) Deep knowledge of SQL database configuration (e.g., Postgres, MariaDB, MySQL) Familiarity with DevOps tools (e.g., Docker, Ansible) and version control (e.g., Git) Knowledge of cloud platforms (Azure, AWS, GCP) is a plus Understanding of network and security principles (e.g., SSL, certificates, IPSEC) Fluent in English; French is a plus Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges, and a long-term career free from boring daily routines Work with cutting-edge security standards for rail data solutions Collaborate with transverse teams and supportive colleagues Contribute to innovative and impactful projects Utilise our **flexible and inclusive** working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development through award-winning learning opportunities Progress towards leadership roles in data science and digital transformation Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you! As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.

Date 11 Jun 2025 Location: Bangalore, KA, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Your future role Take on a new challenge and apply your data science expertise in a cutting-edge field. Youll work alongside innovative and collaborative teammates. You'll play a key role in shaping Alstoms next-generation data-driven solutions for the mobility industry. Day-to-day, youll work closely with teams across the business (engineering experts, data engineers, DevOps/MLOps engineers, and HMI designers), develop machine learning models, and contribute to the development of proof-of-concept applications in maintenance, operations, energy, and city flow domains. Youll specifically take care of extracting key insights from mobility data using advanced tools and techniques, but also contribute to building AI/ML software modules to enhance customer performance and experience. Well look to you for: Designing and developing data-driven solutions, integrating engineering aspects and evaluating financial impacts Implementing feature selection/extraction methods to improve ML models and derive interpretable insights Building and optimizing machine learning models, including supervised and unsupervised approaches Assessing and enhancing the quality of incoming data and model outputs using appropriate evaluation metrics Collaborating with domain experts to define and meet business requirements Creating reports and explanatory materials to communicate insights effectively Evaluating opportunities from emerging mathematical approaches and data science technologies Applying strong testing and quality assurance practices All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: Degree in computer science or engineering, supplemented by training in data science/ML or related disciplines Excellent knowledge of Python programming Understanding of modern statistics, including time-series and signal processing, text mining, or image processing Experience with Python data science stack (e.g., pandas, scikit-learn, keras, numpy, tensorflow) Strong knowledge of artificial intelligence and machine learning algorithms (e.g., classification, regression, dimensionality reduction, neural networks, deep learning) Experience in building and optimizing supervised and unsupervised ML models Experience with database management (SQL, ElasticSearch, etc.) Proficiency in a LINUX environment (shell scripting) [OptionalExperience in PHM, predictive maintenance, traffic modelling, NLP, video analytics, or sequence mining] [OptionalFamiliarity with Git and release management] Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges and a long-term career free from boring daily routines Work with cutting-edge technologies to revolutionize digital mobility Collaborate with cross-functional teams and supportive colleagues Contribute to innovative projects in the mobility domain Utilise our flexible and inclusive working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning programs Progress towards leadership or technical expert roles Benefit from a fair and dynamic reward package that recognizes your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you! Important to note As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.

Date 10 Jun 2025 Location: Bangalore, KA, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Your future role Take on a new challenge and apply your deep learning and AI expertise in a new cutting-edge field. Youll work alongside innovative, analytical, and collaborative teammates. You'll spearhead the development and deployment of advanced generative AI models, impacting the way we approach transport solutions. Day-to-day, youll work closely with teams across the business (data scientists, software engineers, project managers), architecting scalable machine learning solutions and much more. Youll specifically take care of leading research initiatives, optimizing AI model efficiency but also fostering a culture of continuous improvement and innovation. Well look to you for: 7-10 years of experience in machine learning, deep learning. Experience End-to-end architecture design for machine learning solutions Deployment of AI models into scalable services Staying at the forefront of generative AI advancements Optimizing models for performance and scalability Collaborating with cross-functional teams for successful project delivery All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: Degree in Computer Science, Information Technology, Electrical Engineering, or related field Experience or understanding of machine learning, deep learning, generative AIand MLOps Knowledge of deep learning techniques and frameworks (TensorFlow, PyTorch) Familiarity with cloud platforms, preferably Microsoft Azure A certification in AI or machine learning is advantageous Strong analytical and problem-solving skills Excellent communication and team collaboration abilities Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges and a long-term career free from boring daily routines Work with new security standards for rail signalling Collaborate with transverse teams and helpful colleagues Contribute to innovative projects Utilise our flexible working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning Progress towards leadership and advanced technical roles Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you! Important to note As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.

Date 13 Jun 2025 Location: Bangalore, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Could you be the full-time EDU Manager-RAMS-Data Analytics in Bangalore were looking for Your future role Take on a new challenge and apply your analytical and project management expertise in a new cutting-edge field. Youll work alongside innovative, driven, and collaborative teammates. You'll lead a multidisciplinary team of data scientists, machine learning engineers, and big data specialists to deliver a wide variety of projects. Day-to-day, youll work closely with teams across the business (including Reliability and Safety domains), develop project plans, drive deliverables, and much more. Youll specifically take care of leading resources located in multiple locations towards a common deliverable, but also communicate and influence audiences of various levels and diverse backgrounds. Well look to you for: Managing multiple projects concurrently, prioritizing and planning to meet roadmap goals and objectives Leading without formal authority and working both independently and in team environments Strong communication and problem-solving skills, with the ability to listen to customer needs and translate into actionable solutions Assisting in the definition of project scope and objectives, involving all relevant stakeholders and ensuring technical feasibility Measuring project performance using appropriate tools and techniques Creating and maintaining comprehensive project documentation All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: Engineering or masters degree in computer science, Data Science, Mathematics or similar field, or equivalent work experience Experience in data project management and working with customers Minimum 12+ years of experience Knowledge of Railway, Signalling, or Traffic fields Familiarity with Data Science modeling techniques Basic software skills and knowledge, including at least one coding language and software release management A Project Management Professional (PMP) or Agile project management certification (desirable) Knowledge about software product design and requirement management (desirable) Knowledge of Agile Methodology and related implementation (desirable) Fluent in English; French is a plus Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges and a long-term career free from boring daily routines Work with new security standards for rail signalling Collaborate with transverse teams and helpful colleagues Contribute to innovative projects Utilise our flexible working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning Progress towards leadership and advanced technical roles Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you! Important to note As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.

Date 11 Feb 2025 Location: Bangalore, KA, IN Company Alstom Leading societies to a low carbon future, Alstom develops and markets mobility solutions that provide the sustainable foundations for the future of transportation. Our product portfolio ranges from high-speed trains, metros, monorail, and trams to integrated systems, customised services, infrastructure, signalling and digital mobility solutions. Joining us means joining a caring, responsible, and innovative company where more than 70,000 people lead the way to greener and smarter mobility, worldwide Qualifications & Skills Process Manufacturing Engineering experience of 12+Years. Technical knowledge of Manufacturing Engineering, preparing manufacturing work instructions, line balancing and process routing. Experience in working on DELMIA 16x and above, for Bill of Materials, Routings, Work instructions Familiar with ENOVIA & CATIA V5/V6. Process FMEA, QRQC. Key Responsibilities: Interface with key stakeholders from CDS / TDS sites. Understand the Sites WoW (Way Of Working), Methodologies and Processes. Review all Technical Specifications & STDs document. Create / manage PLM templates and 3PL / Part library within PLM. Creation of Manufacturing BOM on 3D Experience tool ( In Delmia environment). Map product manufacturing process on 3D Experience tool ( In Delmia environment). Creating routing and work instructions on 3D Experience tool ( In Delmia environment). Knowledge on Time analysis (MTM, MEK, UAS) and Technical drawings. Restructure / Re-create Mfg. drawings with all required details and update title blocks as required. Ensure the final output ( 3D CAD, 2D Dwgs, Engineering Data and Documents) are as per specifications. Be responsible for Product Structure in 3DX Generate / Validate 2D and 3D in compliance with QCD commitments, Mtier rules and processes. Verify consistency of digital mock-up vs. legacy. Engineering Documents and Deliverables attached in the Product Structure. Product Baseline and configuration. Deliver weekly progress report to CDS / TDS and secure E-BOM validation at the end of reconstruction. Alstom is the leading company in the mobility sector, solving the most interesting challenges for tomorrows mobility. Thats why we value inquisitive and innovative people who are passionate about working together to reinvent mobility, making it smarter and more sustainable. Day after day, we are building an agile, inclusive and responsible culture, where a diverse group of people are offered opportunities to learn, grow and advance in their careers, with options across functions and geographic locations. Are you ready to join a truly international community of great people on a challenging journey with a tangible impact and purpose Equal opportunity statement: Alstom is an equal opportunity employer committed to creating an inclusive working environment where all our employees are encouraged to reach their full potential, and individual differences are valued and respected. All qualified applicants are considered for employment without regard to race, colour, religion, gender, sexual orientation, gender identity, age, national origin, disability status, or any other characteristic protected by local law.

Role - Python Lead Experience- 8+ Years Interview- Face-To-Face Mode of Work- Office Location- Hyderabad Must be comfortable with technology systems and FULLSTACK TECHIES internal tools Consistent focus to make stake holders experience delightful with the help of your deliverable and FULLSTACK TECHIES value proposition. Must be a well-organized, composed, self-motivated world-class individual contributor or thriving to become so. Collaborative in nature and ability to leverage FULLSTACK TECHIES coders, developers, SMEs, CoEs and leadership team to deliver outstanding results to End-Customer. Study and transform data science prototypes Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Train and retrain systems when necessary and Verifying data quality. Meeting with the development team to discuss user interface ideas and applications. Identifying web-based user interactions. Writing application interface codes using JavaScript following react.js workflows. Troubleshooting interface software and debugging application codes. Developing and implementing front-end architecture to support user interface concepts. Monitoring and improving front-end performance. Documenting application changes and developing updates. Developing and implementing highly responsive user interface components using react concepts. Run machine learning tests and experiments