Data and AI scientist

Thursday 19 February 2026 Hybrid Working Though this role description is drafted as if it is part of the Operational Reporting & Analysis team and recruited in the UK, it is actually for an LTC role which will support that business team from India, reporting from a line management perspective into LTC. So, the role provides technical and change services to the UK business team and while the activities and responsibilities of the role holder can be assignment managed (i.e. day to day task direction) as the business team requires, the role holder remains an LTC colleague, and their line management remains in LTC.
Regardless of anything to the contrary in the Role Description, while LTC Role holders can be tasked to lead aspects of the technical and practical delivery and performance of platform’s objects, ultimate accountability, responsibility, and ownership must rest with a UK-located business team decision maker. So, any reference to leadership, line management or supervision of teams in the role description can only refer to the line management of LTC based colleagues, or the provision of services to the platform. Any reference to customers refers to the business team supported (or the needs of that business’s customers), not customers of the business team.

• A strong theoretical and applied knowledge of Statistical Modelling and/or Machine Learning techniques is required such as: regression, clustering, attribution (econometrics / MMM), decision trees and gradient boosting machines (random forest, XGBoost, LGBM) and significance testing
• A good understanding of Python and SQL is also required including how to write modular Pythonic code, familiarity with the core Python data structures and fluency with pandas; a familiarity with unit testing would be beneficial
• The ability to present the takeaways from these techniques in a clear, visual manner to support senior business partner's decision making is key to the success of our projects
• Experience implementing and supporting Machine Learning systems including automating data validation, model training, model validation and model monitoring would also be very useful