Data Scientist
Are you looking for a new challenge?
Fancy helping us shape the future of motor insurance?
Prima could be the place for you.
Since 2015, we’ve been using our love of data and tech to rethink motor insurance and bring drivers a great experience at a great price. Our story began in Italy, where we’ve quickly become the number one online motor insurance provider. In fact, we’re trusted by over 5 million drivers. And now we’re expanding to help millions more drivers in the UK and Spain.
What you’ll do
- Leverage Machine Learning and advanced data analytics to identify risks and set the right price for each client;
- Analyze and interpret complex data to support strategic decision-making;
- Contribute directly to the company’s growth and long-term success through actionable insights.
What we’re looking for
- Strong academic background in Mathematics, Physics, Mathematical Engineering, Physical Engineering, Data Science, Informatics, Computer Engineering or Statistics;
- All experience levels, including recent graduates with no prior work experience;
- Excellent quantitative, logical, and analytical skills;
- Curiosity, proactivity, and innovative thinking to drive new ideas and solutions.
Nice-to-have
- Possess a solid foundation in code development and machine learning;
- Know how to create, manipulate and analyze large datasets.
🏁 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 [email protected]. Let’s build the future of insurance, together.
