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- Tasks: Build dashboards and develop data pipelines for client-facing analytics.
- Company: International consulting firm with a focus on innovation.
- Benefits: Competitive salary, professional development, and dynamic work environment.
- Why this job: Shape your career while working closely with clients in insurance analytics.
- Qualifications: 1-3+ years in GI analytics and proficiency in Python, R, and SQL.
- Other info: Join a collaborative team and enhance your skills in a fast-paced setting.
The predicted salary is between 36000 - 60000 £ per year.
An international consulting firm is seeking a Data Scientist to join its General Insurance team in Greater London. This role focuses on analytics within a client-facing data function, involving building dashboards and developing data pipelines.
The ideal candidate should have 1–3+ years in GI analytics, strong communication skills, and experience with tools like Python, R, and SQL. This position offers the opportunity to work closely with clients and shape your professional development in a dynamic environment.
Data Scientist, Insurance Analytics & Dashboards 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 Analytics & Dashboards in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the insurance analytics field on LinkedIn. A friendly message can go a long way, and you never know who might have a lead on your dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data dashboards and analytics projects. This is your chance to demonstrate your expertise with Python, R, and SQL in a way that grabs attention.
✨Tip Number 3
Prepare for those interviews! Brush up on common data science questions and be ready to discuss your past experiences. Practice explaining complex concepts in simple terms – it’s all about strong communication!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Let’s get you that Data Scientist role!
We think you need these skills to ace Data Scientist, Insurance Analytics & Dashboards in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in GI analytics and showcases your skills with Python, R, and SQL. We want to see how your background aligns with the role, so don’t be shy about tailoring it to fit!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our General Insurance team. Let us know what excites you about working with clients and building dashboards.
Show Off Your Communication Skills: Since this role involves client-facing work, we need to see your communication skills in action. Whether it’s through your CV or cover letter, make sure you convey your ability to explain complex data insights clearly and effectively.
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’s super easy – just follow the prompts and let us know you’re interested!
How to prepare for a job interview at Arthur Financial
✨Know Your Data Tools
Make sure you brush up on your skills with Python, R, and SQL before the interview. Be ready to discuss specific projects where you've used these tools, as this will show your practical experience and understanding of data analytics.
✨Showcase Your Communication Skills
Since this role involves client interaction, practice explaining complex data concepts in simple terms. Think of examples where you've successfully communicated insights to non-technical stakeholders, as this will highlight your ability to bridge the gap between data and business needs.
✨Prepare for Case Studies
Expect to tackle case studies or real-world scenarios during the interview. Familiarise yourself with common challenges in insurance analytics and think through how you would approach building dashboards or developing data pipelines to solve them.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to analytics and client engagement. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals and values.
