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- Tasks: Analyse large datasets and automate pricing processes using SQL and Python.
- Company: Leading motor insurance company with a focus on innovation.
- Benefits: Competitive salary of £80-90k and flexible working arrangements.
- Why this job: Combine data science with real-world impact in the insurance sector.
- Qualifications: 2-3 years of UK General Insurance experience required.
- Other info: Mentorship opportunities and collaboration with diverse teams.
The predicted salary is between 64000 - 96000 £ per year.
Job Description for a leading motor insurance company. This role will sit between the data science and commercial pricing team and focuses on automating processes.
Responsibilities:
- In depth analysis of large datasets utilising a combination of SQL, Python and Radar.
- Sharing any insights from this analysis both within and outside of the team, including presenting to stakeholders from various business areas.
- Interacting with our deployment team to support the release of pricing changes.
- Mentoring and support to more junior colleagues.
You must have 2-3 years UK General Insurance experience.
Location: London - 2 days a week in the office
Salary: £80-90k
If this interests you or anyone in your network then please reach out.
Pricing Data Scientist in London employer: Eames Consulting
Contact Detail:
Eames Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work in motor insurance or data science. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those using SQL and Python. This will help you stand out when you’re chatting with potential employers.
✨Tip Number 3
Practice your presentation skills! Since you'll be sharing insights with stakeholders, being able to communicate your findings clearly is key. Try explaining your past projects to friends or family to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic roles waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy!
We think you need these skills to ace Pricing Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Pricing Data Scientist role. Highlight your experience with SQL, Python, and any relevant insurance knowledge. We want to see how your skills fit into our world!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share why you're excited about this role and how your background makes you a perfect fit. Let us know what makes you tick in the data science and insurance space.
Showcase Your Analytical Skills: In your application, don’t shy away from showcasing your analytical prowess. Mention specific projects or experiences where you've analysed large datasets and derived insights. We love seeing real examples of your work!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Eames Consulting
✨Know Your Data Tools
Make sure you're well-versed in SQL, Python, and any other relevant tools mentioned in the job description. Brush up on your skills and be ready to discuss how you've used these tools in past projects, especially in relation to insurance pricing.
✨Understand the Insurance Landscape
Familiarise yourself with the UK General Insurance market. Be prepared to discuss current trends, challenges, and how data science can impact pricing strategies. This shows that you’re not just a tech whiz but also understand the business side of things.
✨Prepare for Stakeholder Interaction
Since you'll be presenting insights to various stakeholders, practice explaining complex data findings in simple terms. Think about how you can convey your analysis effectively to someone without a technical background.
✨Show Your Mentoring Skills
If you have experience mentoring junior colleagues, be ready to share examples. Discuss how you’ve supported others in their learning and development, as this is a key part of the role and demonstrates your leadership potential.
