At a Glance
- Tasks: Analyse data and deliver insights using cutting-edge data science techniques.
- Company: Join a global leader in insurance consulting and technology.
- Benefits: Gain real-world experience, structured training, and potential for permanent roles.
- Other info: Collaborative environment with opportunities for growth and learning.
- Why this job: Make an impact in the insurance industry while developing your skills.
- Qualifications: Numerate, analytical, and passionate about AI and data science.
The predicted salary is between 63000 - 77000 £ per year.
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 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.
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
2027 Data Scientist Internship Programme - P&C Insurance - London/Reigate employer: WTW
WTW is an exceptional employer that prioritises inclusivity and employee wellbeing, offering a comprehensive benefits package that includes 25 days of annual leave, private healthcare, and a defined contribution pension scheme. The work culture fosters professional growth through hybrid working options and opportunities to engage in meaningful community service, making it an ideal environment for those looking to develop their careers while contributing positively to society.
StudySmarter Expert Advice🤫
We think this is how you could land 2027 Data Scientist Internship Programme - P&C Insurance - London/Reigate
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace 2027 Data Scientist Internship Programme - P&C Insurance - London/Reigate
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at WTW will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at WTW
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress WTW.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show WTW that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
