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For Companies At a Glance
- Tasks: Build dashboards, develop data pipelines, and deliver insights for insurance clients.
- Company: International consulting firm with a focus on innovative insurance solutions.
- Benefits: Competitive salary, professional development support, and exposure to senior stakeholders.
- Why this job: Shape your career in a dynamic team while making a real impact in the insurance sector.
- Qualifications: 1-3+ years in analytics or consulting, strong communication skills, and reporting experience.
- Other info: Opportunity for career growth and support for actuarial exam progress.
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) employer: Arthur Financial
Contact Detail:
Arthur Financial Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Insurance Consultancy)
✨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, analytical tools, or any projects you've worked on. This is your chance to demonstrate your ability to deliver insights and support client transformation.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex data concepts to clients and stakeholders, so practice breaking down your work into simple terms.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals who are passionate about data and consultancy. Plus, it’s the best way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Scientist (Insurance Consultancy)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Scientist role. Highlight your experience in GI analytics, reporting, and any client-facing work you've done. 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. Let us know how your background aligns with the role and what excites you about working with Lloyd’s syndicates.
Showcase Your Technical Skills: Don’t forget to mention your technical skills! If you’ve got experience with Python, R, SQL, or BI tools like Power BI or Tableau, make sure these are front and centre. We love seeing candidates who can hit the ground running with analytical tooling.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us 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, SQL, 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 effectively 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.
