Data Scientist Job in Bengaluru at LSEG

LSEG is hiring for the role of Data Scientist!

Responsibilities of the Candidate:

• Develop and deploy predictive analytics and machine learning models to assess programme execution risk.
• Translate large, complex datasets into actionable insights and executive-level dashboards.
• Support investment governance and assurance by providing data-driven recommendations and risk indicators.
• Design and implement machine learning models to predict programme delivery risks and financial overruns.
• Help integrate the insight generated into existing dashboards and visualisations to communicate insights to senior leadership, in collaboration with existing MI teams. Ensure that risk metrics and insights are actionable and trackable.
• Collaborate with stakeholders across the business to understand data needs and translate them into technical solutions.
• Conduct data cleaning, preprocessing, and integration from multiple sources (internal databases, APIs).
• Contribute to the development of the Group-wide delivery framework and assurance standards.
• Stay current with advancements in AI/ML and apply them to improve risk prediction and decision-making.
• Support the annual investment planning process with data-driven analysis and scenario modelling.

Requirements:

• Proficiency in Python or R, with experience in libraries such as scikit-learn, TensorFlow, or similar.
• Experience in LLM prompt engineering for systematic feature extraction from unstructured data
• Strong SQL and data wrangling skills; experience with ETL processes.
• Solid understanding of statistical analysis and hypothesis testing.
• Experience building and deploying machine learning models in a business context.
• Ability to communicate technical insights to non-technical audiences through visualisation tools (e.g., Tableau, matplotlib).
• Familiarity with fine tuning small LLM models to automate small topic extraction tasks from unstructured data
• Familiarity with cloud platforms (e.g., AWS), especially AWS Bedrock and Snowflake data platform.
• Experience with enterprise programme management tools such as Clarity, Asana, and JIRA.
• Knowledge of SAP ERP and Workday systems data.
• Experience in financial services or programme delivery environments.