Data Science Graduate Program: Launch Your Impact

WTW; Greater London; On-site; GBP 32,000 - 46,000; Full time

Job summary

Willis Towers Watson in London is seeking a talented graduate data scientist to join our Insurance Consulting and Technology team, with an office in Reigate as an option. You will work on data-heavy projects from day one, applying modern data science techniques to real business problems and learning from market-leading experts.

The role emphasizes hands-on coding in Python/R/SQL, collaboration with UK and global teams, and development of ML models, with strong training and progression

Qualifications

• Highly numerate with strong analytical ability and data-driven problem solving.
• Experience in Python, R, SQL or similar for data processing and analysis.
• Interest in data science trends such as ML and Generative AI.
• Clear and confident communicator who can explain complex ideas to diverse audiences.
• Team player who collaborates across groups and geographies.
• Eager to learn and develop new ideas with an openness to AI tools (RAG/Agentic AI optional).
• At least a 2:1 numerate degree, Mathematics at A-level, and UCAS points as required.

Responsibilities

• Use data science techniques to analyse data and produce insightful results.
• Present your analysis both internally and to clients.
• Collaborate with colleagues in the UK and globally.
• Build core technical skills through hands-on experience and team support.
• Deliver data science projects involving ML models and high-quality code.
• Learn and apply open-source tools alongside proprietary insurance tech solutions.
• Grow through structured early-career training and mentoring.

Skills

Python

R

SQL

Education

2:1 degree in numerate discipline

A-level Mathematics (grade A or above)

UCAS 136 points across three A levels

Job description

Willis Towers Watson in London is seeking a talented graduate data scientist to join our Insurance Consulting and Technology team, with an office in Reigate as an option. You will work on data-heavy projects from day one, applying modern data science techniques to real business problems and learning from market-leading experts.

The role emphasizes hands-on coding in Python/R/SQL, collaboration with UK and global teams, and development of ML models, with strong training and progression