2027 Data Scientist Graduate Programme - Insurance Consulting - London/Reigate

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

Description

With 49,000 colleagues in over 140 countries, we help organisations make forward-thinking choices about their people, their investments and the risks they face. Joining our Insurance Consulting and Technology (ICT) team, you’ll be part of our impact right from the start.

Our ICT team uniquely combines deep insurance consulting expertise with innovative technology. We work across all major actuarial pillars within Property and Casualty ("P&C") - reserving, capital, and pricing - as well as broader areas such as data science, process transformation, risk and regulatory, climate, exposure management, underwriting and claims analytics, involving both client projects and research and product development.

At WTW, we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued and empowered to bring their whole selves to work every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity.

Responsibilities:

Working with and learning from some of the market’s top thought leaders, you’ll become part of multiple, varied client projects from day one. These will focus on data-hungry areas such as pricing, claims and operational processes.

In this role, you will:

• 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 your core technical skills through hands‑on experience and team support
• Deliverdata science projects that involve the development, assessment and deployment of machine learning models and writing of high‑quality code
• Learn and apply open‑source tools and technology, alongside WTW’s own proprietary insurance technology solutions, used widely by the insurance market.
• Grow through structured early‑career training and ongoing learning from subject matter experts in the team

Qualifications

Requirements:

Our graduate roles are journeys of learning, experience and support. To transform your tomorrow with WTW, you’ll need to be:

• Highly numerate and analytical, with an interest in drawing value from data and applying your skills to complex and challenging commercial problems
• Experienced in a coding or data‑processing language such as Python, R, SQL or similar
• Genuinely interested in what’s happening in the world of data science, such as recent advancements in Machine Learning and Generative AI
• A clear and confident communicator who can make complicated ideas understandable and engaging for a range of audiences
• Personable, approachable and motivated to work as part of a supportive team
• Someone with an interest in and aptitude for learning and developing new ideas
• Comfortable using AI tools to support work, with an understanding of their strengths and limitations. Exposure to concepts such as Retrieval-Augmented Generation (“RAG”) and Agentic AI would be beneficial but is not required
• At least a 2:1 degree in a numerate discipline, A-level Mathematics at grade A or above, and at least 136 UCAS points across three A levels, or equivalent qualifications. For example, AAB or A*AC would meet the overall points requirement.

Closing Date: 20th November 2026

*** Please note that we do not accept multiple applications and you should only select and apply to one programme per year***

Workstyles:

We believe in the value of in-person learning at this early stage of your career, so you’ll be expected to come into the office at least four days a week. You’ll be based in our London or Reigate office. Your office location will be agreed with you during the onboarding process. Regardless of your allocated office, you may be expected to travel to other WTW locations for team or client meetings.