At a Glance
- Tasks: Analyse data to support decision-making and enhance client understanding.
- Company: Join WTW, a global leader in insurance broking and risk advisory.
- Benefits: Hybrid working, professional development, and support for Level 6 Data Scientist apprenticeship.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real impact while learning from industry experts in a dynamic environment.
- Qualifications: 2:1 degree in any discipline; strong analytical and communication skills.
The predicted salary is between 25650 - 31350 £ per year.
With over 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 industry-leading Corporate Risk & Broking (CRB) team, you’ll be part of this impact right from the start.
Our CRB business is one of the world’s largest insurance brokers and risk advisory firms. We help clients ranging from small businesses to multinationals to understand, assess, and manage their risks. Our experts collaborate around the world to provide our clients with a broader perspective, data-led insight and exceptional service. Focusing on the areas where data makes a real difference, you’ll help us continue to deliver to truly exceptional standards.
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.
Responsibilities
This two-year graduate programme will see you building your knowledge and skills in areas all across our CRB business. As a Data Analyst you would be responsible for assisting with a Global Specialities data strategy by understanding and analysing their current approach to data and analytics. Through this role and other work, you will gain a unique understanding of our industry and our client's needs. The role offers the opportunity to work directly within a line of business whilst also reporting to our central global data strategy division. This is a unique and exciting opportunity for a candidate looking for a demanding data analysis role while building insurance knowledge.
- Understand the organisation’s data and analytics strategy and apply this to day-to-day business challenges
- Gain a unique understanding of our industry and our clients’ needs
- Understand how data is structured, stored and connected across business systems and develop practical experience using analytical tools to support effective decision-making.
- Collect, cleanse and analyse data, presenting insights through clear reports, dashboards and visualisations using a range of data sources
- Build strong relationships with colleagues and clients across sectors, including cyber, financial institutions, marine and construction
- Grow every day, from a thorough induction to ongoing professional and personal development through bespoke learning journeys
- Be supported as you study towards the Level 6 Data Scientist apprenticeship qualification.
Throughout the programme you will be supported by a dedicated early career development team.
Qualifications Requirements
Our graduate programmes are journeys of learning, experience and support. To transform your tomorrow with WTW, you’ll need to be:
- A natural problem solver with a mathematical and analytical mind
- Able to work with and analyse data to draw meaningful conclusions
- A confident communicator who knows how to build relationships and clearly convey complicated information
- Curious and eager to build and apply your knowledge
- Comfortable working in a team
- At least 2:1 degree-qualified in any discipline
Closing Date: 9th October 2026
Workstyles: We’re open to hybrid working for this role. This means blending working at home with at least four days in the office, learning from experienced colleagues and getting to know your fellow new joiners.
The Application Process:
- Stage 1: Apply online and attach your CV
- Stage 2: Complete an online test and a video interview
- Stage 3: Attend a virtual assessment centre, where you’ll meet members of the team
- Stage 4: 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 candidatehelpdesk@wtwco.com. We are committed to maintaining a fair and equitable process for all candidates.
2027 Corporate Risk & Broking – Graduate Data Analyst, London 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 Corporate Risk & Broking – Graduate Data Analyst, London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like WTW!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like 2027 Corporate Risk & Broking – Graduate Data Analyst, London at WTW.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like WTW.
✨Apply Directly through Our Website
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We think you need these skills to ace 2027 Corporate Risk & Broking – Graduate Data Analyst, London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at WTW, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at WTW. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at WTW
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at WTW!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
