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For Companies At a Glance
- Tasks: Build dashboards, develop data pipelines, and support client transformation projects.
- Company: International consulting firm with a lean, dynamic team culture.
- Benefits: High visibility to senior stakeholders and opportunities for personal development.
- Why this job: Shape your career while working on impactful projects in the insurance sector.
- Qualifications: 1-3+ years in analytics or consulting, strong communication skills, and reporting experience.
- Other info: Collaborative environment with exposure to various actuarial and analytical domains.
The predicted salary is between 36000 - 60000 £ per year.
An international consulting firm is hiring a Data Scientist to join its growing General Insurance team. Unlike larger consultancies, the team operates lean, offering genuine breadth of work, high visibility to senior stakeholders, and the ability to shape your own development across multiple actuarial & analytical domains. The team works predominantly with Lloyd's syndicates with additional exposure to personal lines insurers and MGAs.
The Role
This position sits within a client-facing data function focused on analytical build, reporting and enablement — rather than pricing model development. Typical work includes:
- building dashboards & MI for insurers
- developing data pipelines & analytical tooling
- supporting client transformation projects
- reporting & insight delivery
- exposure to capital, reserving, pricing and M&A advisory
This role would suit someone who enjoys the intersection of data, actuarial concepts and commercial problem solving, rather than pure model R&D.
What They’re Looking For
You will likely have:
- 1–3+ years in GI analytics, pricing, actuarial, or consulting (PL or CL)
- Good communicator — able to work directly with clients & stakeholders
- Solid reporting experience (e.g. dashboards, MI, performance analytics)
- Ability to collaborate with cross-functional teams (claims, UW, actuarial, data etc.)
- Technical experience beneficial: Python and/or R, SQL, BI tools (Power BI / Tableau / Looker)
- Actuarial exam progress is a plus, especially if you’re interested in a longer-term FIA pathway (consultancy can support this).
Data Scientist (Insurance Consultancy) in London employer: Arthur Financial
Contact Detail:
Arthur Financial Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Insurance Consultancy) in London
✨Tip Number 1
Network like a pro! Reach out to people in the insurance consultancy space, especially those who work with data. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your dashboards, data pipelines, or any analytical tools you've built. This is your chance to demonstrate your expertise beyond just words on a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data concepts in simple terms, as you'll need to engage with clients and stakeholders effectively.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it gives you a better chance of standing out in the application process.
We think you need these skills to ace Data Scientist (Insurance Consultancy) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Scientist in Insurance Consultancy. Highlight your experience in GI analytics, reporting, and any relevant technical skills like Python or SQL. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the intersection of data and commercial problem-solving. Share specific examples of your past work that align with what we do at StudySmarter.
Showcase Your Communication Skills: Since this role involves client-facing work, it's crucial to demonstrate your communication skills. In your application, mention experiences where you've successfully collaborated with clients or stakeholders. We love seeing how you can connect with others!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Arthur Financial
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analytics tools mentioned in the job description, like Python, R, and BI tools. Brush up on your reporting skills and be ready to discuss how you've used these tools in past projects, especially in a client-facing context.
✨Showcase Your Communication Skills
Since this role involves working directly with clients and stakeholders, practice articulating complex data concepts in simple terms. Prepare examples of how you've successfully communicated insights or collaborated with cross-functional teams in previous roles.
✨Understand the Insurance Landscape
Familiarise yourself with the General Insurance sector, particularly Lloyd's syndicates and personal lines insurers. Being able to discuss current trends or challenges in the industry will demonstrate your genuine interest and understanding of the field.
✨Prepare for Problem-Solving Scenarios
Expect to tackle some commercial problem-solving questions during the interview. Think about past experiences where you’ve had to analyse data to solve a business issue, and be ready to walk through your thought process and the impact of your solutions.
