2027 Data Scientist Internship Programme - P&C Insurance - London/Reigate

targetjobs UK; Harrow; On-site; GBP 22,000 - 26,000; Full time

Job summary

WTW is offering an eight-week ICT internship in its Insurance Consulting and Technology team. You’ll apply data science techniques to pricing, claims and operations while gaining real-world experience at the heart of the ICT business.

You’ll deploy ML models, write high-quality code and use open-source tools alongside WTW’s proprietary insurance solutions. The programme includes structured early-career training and potential progression to the graduate programme.

Qualifications

• Highly numerate and analytical, with an interest in value from data
• Experienced in a coding or data-processing language such as Python, R, SQL or similar
• Genuinely interested in data science trends like ML and Generative AI
• Clear communicator who can explain ideas to varied audiences
• Personable and motivated to work in a supportive team
• Willing to learn and develop new ideas, including using AI tools
• Penultimate year of university and on track for a 2:1, with A-level Maths and UCAS points as described

Responsibilities

• Use data science techniques to analyse data and produce insightful results
• Present analyses internally and to clients
• Collaborate with UK and global colleagues
• 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
• Participate in structured early-career training and knowledge sharing

Skills

Numeracy

Analytical thinking

Python

R

SQL

Data analysis

Communication

Teamwork

AI basics

Education

Penultimate year of university

2:1 degree required

A-level Mathematics (A) or equivalent

136 UCAS points

Tools

Python

R

SQL

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. On our eight-week internship, you’ll do more than experience our projects - you’ll help us deliver them.

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

Joining our P&C Insurance team for eight weeks, you’ll build invaluable real-world experience at the heart of our ICT business. 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
• Deliver data 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

This is the perfect opportunity to understand what you could expect if you joined our graduate programme the following year. We have many examples of our interns returning as permanent team members after graduation.

Qualifications

Requirements

To transform your tomorrow with a WTW internship, 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
• In your penultimate year of university
• On course to achieve a 2:1 degree, as well as 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: 19th October 2026

Workstyles

We believe in the value of in-person learning, so you’ll be expected to attend the office five days per week. You’ll be based in either 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 offices for team or client meetings.

We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email us.