Senior Data Scientist

The Group Investment Management (GIM) Team is hiring for a Senior Manager – Data Scientist to work in the Tooling and Data Team. Your ability to interpret and use data science and analytics to deliver your work and support the team is essential.

You will be able to use pro-actively measure and predict programme execution risk, using machine learning and AI to develop early warning risk indicators helping steer senior leadership attention to the parts of the portfolio where delivery of planned benefits and outcomes is at risk.

Your ability to present a suite of dashboards and metrics to provide senior management with tools for prioritisation and analysis will be key.  The predictive risk metrics you will develop will allow timely management intervention, avoiding costly last minute write off and help foster a delivery discipline and delivery transparency culture.  

You will play a pivotal role in transforming complex programme data into predictive insights that drive strategic investment decisions. You will take the lead on developing machine learning models and early warning indicators to proactively identify delivery risks across a multi-million-pound change portfolio. This is a unique opportunity to apply your data expertise in a high-impact, enterprise-level environment that values innovation, transparency, and delivery excellence.  

Key Responsibilities  

• Lead the design and implement machine learning models to predict programme delivery risks and financial overruns.  
• Help integrate the insight generated into dashboards and visualisations (eg Power BI) to communicate insights to senior leadership, in collaboration with existing MI teams. Provide leadership to ensure that risk metrics and insights are actionable and trackable. 
• Collaborate with senior 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

Required Experience & Qualifications  

• Proficiency with Python or R, with experience in libraries such as scikit-learn, TensorFlow, or similar. 
• Experience of 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 / PPM tools such as Clarity, Planview, Asana, and JIRA.  
• Knowledge of SAP ERP and Workday systems data.  
• Experience in financial services or programme delivery environments.  
• Strong communication and collaboration skills.  
• Self-starter with the ability to manage multiple priorities in a fast-paced environment.  
• Commitment to continuous learning and innovation. 

Career Stage:

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd 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 enabling customers to create sustainable growth.

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