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For Companies At a Glance
- Tasks: Join our Data Science team to tackle challenges in the UK insurance market.
- Company: Willis Towers Watson, a leader in consulting and data science.
- Benefits: Competitive salary, professional development, and collaborative work environment.
- Why this job: Make an impact by developing cutting-edge solutions for top insurers.
- Qualifications: Experience in data science and knowledge of UK insurance markets.
- Other info: Opportunity for career growth and mentorship in a dynamic team.
The predicted salary is between 28800 - 48000 £ per year.
We are looking for a Data Scientist, with experience in the UK general insurance markets in either commercial or personal lines, to join Willis Towers Watson in our Data Science team which is part of our consulting practice to help us develop our Data Science advisory capability. You will work beside some of the market’s top thought leaders designing and implementing cutting-edge solutions to challenges faced by the world’s top general insurers and intermediaries.
The Role
- Deliver best in class Data Science capability reviews
- Build effective predictive models, analytic tools and processes using a wide range of analytical and data science techniques
- Leverage your market knowledge to develop cutting edge solutions in collaboration with various teams from across WTW
- Build a market profile as a representative and advocate of WTW Data Science consulting services and technology solutions
- Manage substantial work streams in large projects, with responsibility for communication with clients and the day-to-day running of projects
- Work collaboratively on a range of projects/internal responsibilities and manage priorities appropriately
- Develop a trusted advisor relationship with client contacts through effective communication and efficient, quality execution of client work
- Seek to be involved in a variety of work to ensure a broad skill set (technical, management and client) is maintained and developed
- Interface with colleagues from other practices and regions on assignments that reflect the client’s broader business issues
- Demonstrate commitment to Willis Towers Watson professional standards in managing analyses and in communications with clients
- Develop new relevant propositions or enhance current pricing propositions leveraging Willis Towers Watson’s toolset and broader pricing intellectual property and resources
- Manage or contribute to the development of the company’s intellectual capital including plans for taking this to market
- Meet goals for billable hours and intellectual capital development
- Have a desire to work towards meeting revenue generation goals in the future
- Develop and present proposals to potential clients, demonstrating the economic value of the company’s offerings
- Use contacts within current network to obtain introductions to new contacts; work to develop supporters for company’s products and services
- Build relationships internally and collaborate effectively on cross-functional teams
- Demonstrate natural ease and effectiveness when dealing with clients/colleagues at all levels
- Manage teams of one or more junior associates to effectively deliver client projects on time and on budget
- Serve as line manager or mentor to more junior associates
UK P&C Data Scientist in London employer: WTW
Contact Detail:
WTW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land UK P&C Data Scientist in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend events, join online forums, and don’t be shy about reaching out to folks on LinkedIn. You never know who might help you land that dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those relevant to the UK insurance market. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and think about how your experience aligns with the role at Willis Towers Watson. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at StudySmarter. Let’s make it happen!
We think you need these skills to ace UK P&C Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Scientist in the UK general insurance market. Highlight your relevant experience and skills that align with what we’re looking for at Willis Towers Watson.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to showcase your passion for data science and how your background fits with our consulting practice. Don’t forget to mention why you want to work with us specifically!
Showcase Your Projects: If you've worked on any predictive models or analytic tools, make sure to include them in your application. We love seeing real examples of your work and how you’ve tackled challenges in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you into our system quickly!
How to prepare for a job interview at WTW
✨Know Your Data Science Stuff
Make sure you brush up on your data science techniques and tools relevant to the UK general insurance market. Be ready to discuss specific predictive models you've built or analytical tools you've used, as this will show your expertise and how you can contribute to their team.
✨Understand the Company and Its Clients
Do your homework on Willis Towers Watson and their consulting practice. Familiarise yourself with their services and recent projects in the insurance sector. This knowledge will help you tailor your answers and demonstrate that you're genuinely interested in the role and the company.
✨Showcase Your Communication Skills
Since the role involves managing client relationships, be prepared to discuss how you've effectively communicated complex data insights to non-technical stakeholders. Use examples that highlight your ability to build trust and rapport with clients, as this is crucial for success in the position.
✨Be Ready to Discuss Collaboration
The job requires working with various teams, so think of examples where you've successfully collaborated on projects. Highlight your experience in cross-functional teams and how you managed priorities to deliver results. This will show that you can thrive in a collaborative environment.
