Pricing Data Scientist
Posted 4 July by
ADLIB
Easy Apply
Join a progressive tech & data driven InsurTech business
- Join a fast paced scale up business challenging the status quo.
- Work in an established and growing pricing data science team pushing the boundaries of pricing modelling & ML.
- Forward thinking and progressive FinTech
What you’ll be doing
As a member of the Pricing Data Science team, you’ll work with experts in their field and will work on ML driven pricing projects. This business are pushing the boundaries of pricing in the insurance space, moving away from traditional actuarial modelling and using more and more ML techniques to improve pricing to gain better margins and return on investment from their customers. You’ll work on a modern tech stack with a progressive team. On top of this there are quarterly hackathons with the wider data science department focussed on the latest developments including Gen AI, LLMs, computer vision & more.
What experience you’ll need to apply
- An MSc or PhD in a data-focused field like Computer Science, Statistics, or Data Science or a solid STEM background.
- Sold SQL & Python skills.
- Experience working in insurance, or any other FinTech/FS type service or business.
- Proven expertise in developing and deploying end-to-end Machine Learning models for business challenges.
- Cloud experience with AWS, Azure, or GCP.
- Effective communication skills for seamless collaboration across diverse technical levels.
- Prior experience in a high-growth environment.
The compensation for this role ranges from £50,000 - £60,000 (dependent on experience), along with a host of fantastic benefits. These include a cutting-edge office in central London, a flexible work policy allowing a split between office and home, a competitive bonus scheme, equity options, a flexible benefits budget for personal use, a dedicated budget for learning and development, including 2 dedicated days for personal growth, private healthcare, 33 days holiday (inclusive of bank holidays), team and company-wide social events, and much more!
What’s next?
Ready to elevate your career? Apply for this role, and Alex will reach out if your application is successful.
Reference: 53025584
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