Senior Data Scientist

As our Senior Data Scientist, you’ll lead the analytical design of our most demanding work and act as the main technical point of contact with our clients. You’ll set the technical standard, solve the hardest problems, and be the advisor clients trust when the stakes are high. This role suits people who want to set the approach themselves rather than follow someone else’s: one engagement might have you designing a bespoke model from scratch, the next advising a client’s senior leadership team on what the numbers really mean., As our Senior Data Scientist, your key responsibilities will include:

• Leading the design and delivery of advanced analytical work - Bayesian and econometric models, larger machine learning pipelines, the problems without a standard playbook.
• Leading AI-driven product work, including automated marketing mix modelling, our Trinity AI, and Creative AI - our tool for analyzing which creative elements actually drive ad performance.
• Driving AI and automation across the team’s delivery - and knowing where it genuinely helps and where it doesn’t.
• Acting as the main technical point of contact for clients, advising them on where AI and analytics create real value.
• Supporting scoping and sales conversations, and spotting where the analytical agenda with a client can go deeper.
• Setting methodology, tooling and automation standards, and mentoring colleagues coming up behind you., * You believe in the power of data and AI to drive smarter decisions and lasting growth.
• You share our values: curiosity that sees what others don’t, passion that shows, clarity over complexity, and the drive to care and act.
• You want the freedom to grow in your own way, backed by the guidance and support of a close-knit team.
• You take pride in delivering the clarity, speed, and impact our clients rely on.

• A degree in a quantitative mathematics or engineering field (an advanced degree is a plus).
• Fluency in English, both written and spoken.
• Around 3-6 years of applied experience in the data science and/or engineering space.
• Deep knowledge of statistics and machine learning, with the judgement to choose the right method - and know when AI isn’t the right tool.
• Genuine specialist depth in your area, with the independence to define an approach when there’s no template to follow.
• Client-facing confidence - you can explain complex methodology clearly and act as a trusted advisor.
• A track record of raising the bar for the people and processes around you.
• You must have the legal right to work in Sweden. Please note that we are unable to provide visa sponsorship or relocation support for this role.
• Nice to have: experience shaping or scaling an AI-driven product feature

At Nepa, we help great brands grow by turning insight into action. We’re building a strategic marketing intelligence and optimisation platform for the AI era - connecting continuous data with sharp analytics, machine learning and deep marketing expertise, so businesses can act faster, spend smarter, and focus on what really drives results.

Our platform brings together Brand Tracking, Marketing Mix Modelling and Campaign Evaluation into one clear, AI-powered view for marketers and the C-suite alike. It’s a transformation with real momentum: we’re profitable, our subscription business is accelerating, and our AI-driven products are already proving out in the market. Our Continuous MMM tracks what’s driving performance on an ongoing basis rather than waiting for a quarterly report, and our new Creative AI has already helped a client uncover a 40%+ potential reduction in cost-per-acquisition by identifying which creative elements in their ads actually move the needle. We’re just getting started - for the right person, that’s a real opportunity to help shape what comes next.

We’re trusted by more than 300 blue-chip clients across 50+ markets - including brands like Fjällräven, Kellogg’s and Wolt - and we track over 7,500 brands and campaigns every day. Founded in Stockholm in 2006 and listed on Nasdaq Stockholm, Nepa has grown into a team of around 220 people across 10 offices on six continents. We’re proud to bring clarity to complexity, and to make insight an engine for growth.