Data Scientist Graduate Programme — Insurance Tech & ML

WTW group; Greater London; Hybrid; GBP 28,000 - 40,000; Full time

Job summary

WTW Group is seeking a graduate in a numerate discipline to join the Insurance Consulting and Technology (ICT) team in London or Reigate. You'll work on data-driven pricing, claims, and operational projects from day one, applying data science methods and developing ML models with strong coding practices.

You’ll learn through structured early-career training, collaborating with colleagues in the UK and globally, and using both open-source tools and WTW technologies.

Qualifications

• Highly numerate and analytical with ability to draw value from data.
• Proficient in Python, R or SQL for data processing.
• Interested in data science, ML and Generative AI developments.
• Clear and confident communicator for diverse audiences.
• Motivated to work in a supportive team environment.
• Willingness to learn and develop new ideas.

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 and WTW technologies.
• Grow through structured early-career training and mentoring.

Skills

Numerate and analytical

Python

R

SQL

Clear communicator

Team player

Interest in data science

Education

Numerate degree (2:1)

A-level Mathematics (A)

UCAS points 136

Tools

RAG

Job description

WTW Group is seeking a graduate in a numerate discipline to join the Insurance Consulting and Technology (ICT) team in London or Reigate. You'll work on data-driven pricing, claims, and operational projects from day one, applying data science methods and developing ML models with strong coding practices.

You’ll learn through structured early-career training, collaborating with colleagues in the UK and globally, and using both open-source tools and WTW technologies.