Senior Data Scientist

Location: Greater London

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.

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.

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, Tensor Flow, 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:
** Manager
* * 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.

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.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s 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…