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WTW

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

City of London
Posted about 20 hours ago
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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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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 the ability to solve complex and challenging commercial problems using innovative and proportionate approaches
  • 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
  • Comfortable using AI tools to support work, with an understanding of their strengths and limitations
  • Someone with an interest in AI, data science and emerging technologies, and an aptitude for exploring and applying new approaches to solve problems
  • In your penultimate year at 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.

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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.

The Application Process:

Stage 1: Apply online and attach your CV

Stage 2: Complete an online test and video interview

Stage 3: Attend an in-person assessment centre in our London office, where you’ll meet the team.

Stage 4: Offer and acceptance

Stage 5: Onboarding

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 candidatehelpdesk@wtwco.com

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Location

The Willis Building, 51 Lime St, London EC3M 7DQ, UK

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