Job Description

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ROLE PROFILE
Exciting new opportunity to join LSEG's Group Investment Management (GIM) - a group level Operations Division that plays a critical role in shaping and overseeing the organisation's Change Portfolio. The GIM team is responsible for annual Investment Planning and capital allocation across a multi-million () Change Portfolio, governed via the Group Investment Committee which the team runs. Beyond investment oversight, the team is responsible for executive reporting on programme delivery performance and development of dashboards and reports to distil large amounts of data into data driven insights and recommendations. Additional responsibilities include carrying out independent delivery assurance and setting the Group-wide delivery framework (standards, guidance and requirements) to ensure best practices are followed and governance requirements are met.
Your ability to interpret and utilize data science and analytics to deliver your work and support the team is crucial, in particular with respect to pro-actively measure and predict programme execution risk, using machine learning and AI to develop early warning risk indicators helping steer senior leadership management attention to the parts of the portfolio where delivery of planned benefits and outcomes is at risk of not being met or likely to require substantially more financial commitment than originally asked. 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.
ROLE SUMMARY
Join LSEG's Group Investment Management team as a Data Scientist, where you'll play a pivotal role in transforming complex programme data into predictive insights that drive strategic investment decisions. You'll develop 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 science expertise in a high-impact, enterprise-level environment that values innovation, transparency, and delivery excellence.
Key Accountabilities:

• 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.

What It Takes to Be Successful:

• Strong technical foundation in data science, machine learning, and statistical modelling.
• Ability to communicate complex findings clearly to non-technical stakeholders.
• A proactive mindset, with a passion for solving business problems and driving change through data.

WHAT YOU'LL BE DOING

• 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.

WHAT YOU'LL BRING
Essential Skills:

• 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).

Desirable Skills:

• 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.

Soft Skills:

• Analytical thinker with a problem-solving mindset.
• 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.

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 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 practices and beliefs, as well as mental health or physical disability needs.
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