At a Glance
- Tasks: Analyse data and support decision-making in a dynamic corporate environment.
- Company: Join WTW, a global leader in Corporate Risk & Broking.
- Benefits: Gain a Level 6 Data Scientist apprenticeship and enjoy hybrid working.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make an impact while learning from industry experts in a supportive team.
- 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.
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 & Skills
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.
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
Please note that we do not accept multiple applications and you should only select and apply to one programme per year.
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.
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 us.
2027 Corporate Risk & Broking – Graduate Data Analyst, Ipswitch in Ipswich employer: targetjobs UK
Bloomberg is an exceptional employer, offering a dynamic work environment in London where you can develop your skills in analytics and sales while providing unparalleled customer support to clients across the globe. With a strong emphasis on employee growth, our comprehensive training program equips you with the knowledge needed to excel in the financial markets, while opportunities for career advancement abound within the company. Join us to be part of a culture that values innovation, collaboration, and a commitment to delivering outstanding service.
StudySmarter Expert Advice🤫
We think this is how you could land 2027 Corporate Risk & Broking – Graduate Data Analyst, Ipswitch in Ipswich
✨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 Corporate Risk & Broking – Graduate Data Analyst, Ipswitch in Ipswich
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 targetjobs UK 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 targetjobs UK
✨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 targetjobs UK.
✨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 targetjobs UK that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
