2026 Data Scientist Graduate Programme - Insurance Consulting - London/Reigate

Willis Towers Watson; City Of London; On-site; GBP 25,000 - 35,000; Full time

Job summary

A global consulting firm in London is seeking graduates for their Insurance Consulting and Technology team. Candidates should possess strong numerical and analytical skills and have experience with coding languages like Python or SQL. The role involves working collaboratively to address complex commercial challenges. This opportunity is ideal for motivated individuals keen on the data science field.

Responsibilities

• Work within the Insurance Consulting and Technology team.
• Draw insights from data to solve complex problems.
• Collaborate with a supportive team.

Skills

Numerical and analytical skills

Experience in coding/data-processing languages

Interest in data science advancements

Clear communication skills

Personable and approachable

Motivated to learn and develop

Education

Predicted 2:1 degree in a numerate discipline

A-Level Maths grade A/B or equivalent

Job description

Description

With 48,000 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.

Diversity, Equity and Inclusion

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.

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
• On course to achieve:
  • A predicted 2:1 degree in a numerate discipline or
  • A predicted 2:1 degree including A-Level Maths grade A/B or equivalent qualifications

Closing Date: 11th December 2025

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 able to agree on a suitable home/office pattern with your line manager once you start. Regardless of your allocated office, you may be expected to travel to other WTW locations for team or client meetings.

The Application Process:

Stage 1: Apply online and attach your CV

Stage 2: Complete an online test and video interview

Stage 3: Attend a virtual assessment centre

Stage 4: Face to face interview – if you are successful in the other elements of the assessment centre, you will be invited into the office for a face-to-face interview, where you’ll meet the team.

Stage 5: Offer and onboarding

Equal Opportunity Employer:

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 [e-mail]