Since you’ve landed on this page, you already know Hedvig is a mover and shaker in insurtech, and think you might have what it takes to join us. We’ve been working hard since the very beginning to change an industry that is hard to love – to something at least likable. At Hedvig, we believe the only way to do so is to work with great people.

What about the role?

We are now looking for a Data Scientist to join our ambitious team at Hedvig, with a broad mandate to solve complex business problems across the company using the latest advancements in AI and Machine Learning. The role involves high-impact work designing and developing ML models and agentic AI solutions for fair pricing, claims handling, product recommendations, and our customer service bot.

Working closely with backend developers, ML engineers, data analysts, and various business teams, you will have the opportunity to shape the data, tools, and innovative solutions that fuel our growth. This offers an inspiring freedom in what you will be able to create. In the role you will

Design, develop, and deploy machine learning and agentic AI systems to solve challenges across the business, including:
- Optimizing and personalizing fair prices.
- Automating and enhancing claims handling processes.
- Improving product recommendations and customer journeys.
- Developing and maintaining our agentic AI customer service bot.
Drive machine learning and AI projects from project definition and raw data to deployed model and tracking of performance, with full end-to-end ownership.
Establish and manage robust Adversarial Testing and Evaluation Frameworks for AI systems.
Evangelize the power of data and AI by promoting your work to the team, stakeholders and Hedvig as a whole.
Be a guiding star, always on the lookout for new trends within AI, and Insurtech.

What about you?

The Foundation: You hold a Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
Proven Impact: You have 2–5 years of experience (ideally in Fintech or Insurtech) shipping production-grade ML models that drive real business value.
The Generative Frontier: You are hands-on with the modern AI stack, including LLMs, RAG, prompt engineering, vector databases, and fine-tuning.
Agentic Thinking: You have experience of building and deploying Agentic AI systems capable of complex, multi-step decision-making and tool-use within a business context.
From Foundations to Frontiers: You possess a strong foundational understanding of everything from classical models (GLMs, GBMs) to deep learning architectures (Transformers, CNNs, RNNs).
Full-Stack Mindset: You are an expert in Python and standard DS libraries, paired with SQL skills to architect your own data preparation and feature engineering pipelines.
Production-Ready: You are comfortable with cloud platforms (GCP, AWS, or Azure) and embrace MLOps practices to ensure your models are scalable and robust.
The AI Advocate: You thrive on collaboration in cross functional teams translating business problems into rigorous quantifiable solutions, and love evangelizing ML models and agentic AI.

Those are not hard requirements! If you have a different profile but you see that you have relevant skills and you think you can do a remarkable job, apply and share with us your motivation on why we should meet you.

What about us?

As part of the Hedvig team, you quickly notice that "general truths" are not accepted without being questioned. We're an enthusiastic group of people who love to challenge each other to find the best way forward. We don't care who says something; we care about what's being said. We put a lot of effort into building a trusting culture where freedom, collective thinking, and individual ownership have center stage. We're not perfect – far from it – but we talk about and learn from our mistakes and imperfections to improve continuously. And we have a lot of fun along the way! As individuals, as a team, and as a company.

Department: Data & Analytics
Locations: Hedvig HQ Sthlm
Remote status: Hybrid
Employment type: Full-time