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Prima

Senior Data Scientist GenAI

Rome, Italy

Location
Rome, Italy
Work
Hybrid
Employment
Full-time
Level
Senior
Function
Data & AI
Pay
€55K – €75K a year
Posted
3 months ago

About the role

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.

We’re looking for a Senior Data Scientist to join our AI team focused on bringing ML & Generative AI into the heart of our operations (e.g. claims, underwriting, customer support).

In this role, you’ll have the opportunity to redefine the core operative processes, leveraging ML & GenAI techniques to enhance not only efficiency but, most importantly, the overall effectiveness and quality of outcomes.

You’ll collaborate with data scientists, engineers, and business leaders to design and deliver AI-driven products that create tangible business value and redefine the future of ops at Prima.

What you’ll do

  • Lead the end-to-end development of ML & GenAI solutions to transform the operations journey, from problem framing and data exploration to production deployment, tackling business challenges with autonomy and scientific rigor;
  • Set and uphold high technical standards across multiple AI initiatives, ensuring quality, scalability, and consistency;
  • Mentor fellow DSs and accelerate team learning, providing structure in the way of working, and driving a culture of experimentation and continuous improvement.

What we’re looking for

  • Extensive experience (3+ years) in data science or applied machine learning, leading end-to-end initiatives in complex technical domains and delivering measurable business impact through ML and GenAI solutions;
  • Strong analytical and quantitative mindset able to translate data into insights, assess model performance, and guide decision-making with evidence and clarity;Structured problem solver skilled at framing ambiguous challenges, defining success metrics, and communicating results to both technical and non-technical audiences;Practical technical experience in coding (strong proficiency in Python and knowledge of coding best practices) and in ML/GenAI (experience with building ML models using frameworks such as scikit-learn and XGBoost, and familiarity with leveraging GenAI LLMs via APIs like OpenAI GPT or Gemini);
  • Curious and adaptive leader, proactive in exploring new methods, improving processes, and driving innovation in a fast-evolving environment.

Nice-to-Have

  • Global mindset: Experience working across countries or multi-market products

Why you’ll love it here

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: We offer a performance-based bonus of up to 7,5% of the fixed salary for this position.

🤸 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 accessible.recruiting@prima.it. Let’s build the future of insurance, together.

Source

Posted by Prima on their own hiring page, jobs.eu.lever.co. OptiTalent shows it as published, read 07 Nov 2026 00:40 UTC; the original is the reference.

View the original ad ↗

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