Data Scientist
Role Summary
Join Prima as a Data Scientist in London, shaping the future of motor insurance with data and innovative analytical solutions.
About the Organisation
We want to make Prima a happy and empowering place to work. So if you decide to join us, you can expect plenty of perks.
💵Competitive compensation: Benefit from competitive salaries, starting from £80k up to £160k, with clear opportunities to grow as you do.
🤸 Work Your Way: Enjoy full flexibility – work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year.
🏁 Grow with us: We may move fast at Prima, but we move together. Get access to learning resources, mentorship and a growth plan tailored to you.
🌈 Thrive and perform: Your best work begins when you feel your best. Enjoy private healthcare, gym discounts, wellbeing programs and mental health support.
Think you’re a match? Apply now.
At Prima, we celebrate uniqueness. If you don’t meet every requirement but are passionate about this role, we still want to hear from you. Innovation thrives on diverse perspectives.
Prima is proud to be an equal opportunity employer. Need accommodations during the process? Email us at ----- Let’s build the future of insurance, together.
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Key Responsibilities
Leverage data to identify risks, opportunities and key pricing drivers, turning complex information into actionable insights that influence strategic decision making;
Leverage Machine Learning and advanced analytics to develop risk and pricing models that power real-time insurance pricing for millions of customers;
Contribute directly to the company’s growth and long-term success through innovative modelling, experimentation and commercially impactful insights.
Minimum Requirements
Strong academic background in Mathematics, Physics, Engineering (Maths, Physics and Computer Science specialisations), Data Science, Computer Science or Statistics;
Strong quantitative, logical and analytical abilities, a solid foundation in statistics, probability and advanced analytics, and a curious, proactive and innovative mindset focused on solving complex problems;
Fluency in English, both spoken and written.
Strong communication skills, with the ability to challenge assumptions, and drive new ideas;
Possess a solid foundation in code development and machine learning, ideally in Python;
Know how to create, manipulate and analyse large datasets.
Eligibility Criteria
Candidates with a strong academic background in relevant fields are encouraged to apply, but there is no explicit mention of eligibility for international applicants.
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