Proud to share LSEG in the India is Great Place to Work certified (Jun 25 - Jun 26). LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyones race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants and employees religious practices and beliefs, as well as mental health or physical disability needs. A Data Scientist applies analytical, statistical, and computational techniques to collect, clean, analyze, extract insights from data and support data-driven decision-making. This role involves working with large-scale datasets to build models, uncover trends, and collaborate with cross-functional teams to improve digital products and services. Supports data science initiatives by applying analytical and technical expertise to solve product and platform-related challenges. Collaborates with sales order management teams, technology teams, and business stakeholders to translate requirements into scalable data science solutions Writes efficient, maintainable production-ready code and partners with technology teams to deploy models and data pipelines into live environments. Develops machine learning models and data-driven solutions that improve system performance, user engagement, or operational efficiency. Problem Solving - Identifies technical and analytical challenges in digital systems, explores multiple approaches, and selects optimal solutions to improve product outcomes. Artificial Intelligence Ethics - Applies ethical principles to ensure fairness, transparency, and accountability in AI-driven features and data usage. Programming - Develops and maintains code using Python, R, and/or SQL to support data processing, analysis, and model development. Data Analysis - Analyzes structured and unstructured data to uncover patterns, trends, and insights that inform product and business decisions. Data Wrangling - Cleans, transforms, and prepares raw data from various sources for analysis and modeling. Statistics - Applies statistical techniques to validate hypotheses, measure feature impact, and support experimentation. Algorithms - Implements machine learning algorithms for use in cases such as classification, regression, clustering, or forecasting. Communication - Translates complex data findings into explicit narratives and visualizations using tools like Power BI, tailored to technical and non-technical audiences.Business Understanding - Aligns data science work with product goals, user needs, and business KPIs to maximize impact. Automation - Utilizes tools such as Power-BI, Power Automate to streamline data workflows and operational processes. Research - Explores emerging tools, techniques, and methodologies to enhance the effectiveness and scalability of data science solutions. Metrics Creation - Designs and monitors performance metrics to evaluate the success of models, features, and business initiatives. Career Stage: Senior Associate London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If youre ready to take your career to the next level and make a significant impact, wed love to hear from you. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and Proud .