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- Tasks: Join a growing team as a Data Scientist, using Python to analyse insurance data.
- Company: Work with a leading Specialty London Market Insurance client in central London.
- Benefits: Enjoy hybrid working with 2-3 days on-site and a competitive salary up to £75,000.
- Why this job: This role offers a chance to develop your skills in an evolving function with real impact.
- Qualifications: Experience in Python and knowledge of the insurance sector, especially Pricing/Actuarial.
- Other info: Successful applicants will be contacted within 24 hours; diversity is valued here.
The predicted salary is between 45000 - 75000 £ per year.
I am currently recruiting for an experienced Data Scientist for a Specialty London Market Insurance client of ours based in central London. This is a fantastic opportunity for a Data Scientist to continue growing in their field. You will be going into an immature function that has added great value to the business since its inception. This is a great chance for a data scientist looking for a new challenge to get in with a growing function and develop their skills further.
The Ideal Candidate:
- You will be a Data Scientist who has used Python throughout their career
- You have knowledge of the insurance sector (Specifically specialty London Market)
- You ideally will have worked in Pricing/Actuarial/Quote & Bind
This is a permanent position paying up to £75,000 per annum. Hybrid working - 2-3 days a week on-site in central London.
For more information, please feel free to email me a copy of your CV.
Successful applicants will be contacted within 24 hours of applying.
Data Scientist - Actuarial/Python/Insurance employer: William Alexander Recruitment Ltd
Contact Detail:
William Alexander Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Actuarial/Python/Insurance
✨Tip Number 1
Make sure to showcase your Python skills in any discussions or networking opportunities. Highlight specific projects where you've applied Python in data science, especially in the context of insurance or actuarial work.
✨Tip Number 2
Familiarise yourself with the specialty London Market insurance sector. Understanding the nuances and current trends in this area will help you stand out during interviews and demonstrate your genuine interest in the role.
✨Tip Number 3
Network with professionals already working in the insurance industry, particularly those in data science roles. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 4
Prepare to discuss your experience in Pricing, Actuarial, or Quote & Bind processes. Being able to articulate how your background aligns with these areas will show that you're not just a data scientist, but one who understands the specific needs of the role.
We think you need these skills to ace Data Scientist - Actuarial/Python/Insurance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and any relevant work in the insurance sector, particularly in Pricing or Actuarial roles. Use specific examples to demonstrate your skills and achievements.
Craft a Strong Cover Letter: Write a cover letter that explains why you are interested in this position and how your background aligns with the company's needs. Mention your familiarity with the specialty London Market and how you can add value to their growing function.
Showcase Relevant Projects: If you have worked on projects related to data science in the insurance field, be sure to include them in your application. Describe your role, the tools you used (especially Python), and the outcomes of these projects.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in data science roles.
How to prepare for a job interview at William Alexander Recruitment Ltd
✨Showcase Your Python Skills
As a Data Scientist, your proficiency in Python is crucial. Be prepared to discuss specific projects where you've used Python, highlighting any libraries or frameworks that are relevant to the insurance sector.
✨Understand the Insurance Landscape
Familiarise yourself with the specialty London Market and its nuances. Demonstrating knowledge of pricing, actuarial processes, and quote & bind will set you apart from other candidates.
✨Prepare for Technical Questions
Expect technical questions related to data analysis, statistical methods, and machine learning. Brush up on key concepts and be ready to explain how you've applied them in real-world scenarios.
✨Emphasise Your Growth Mindset
This role is in an immature function, so highlight your willingness to learn and adapt. Share examples of how you've embraced challenges in the past and how you plan to contribute to the growth of the team.
