Data Scientist

As a Data Scientist at Nepa, you’ll turn marketing and brand data into decisions our clients act on. You’ll work independently on your own workstreams - designing and building the models, pipelines and analyses that power client projects and our AI-driven products - with senior colleagues close by for the hardest calls. This role suits people who’d rather own a problem end to end than wait to be told how to solve it: one week you might be automating a machine learning pipeline, the next presenting your findings straight to a C-level client stakeholder., As our Data Scientist, your key responsibilities will include:

• Designing and building statistical, machine learning and AI models, pipelines and analyses for client projects and our products.
• Translating client business questions into sharp, testable analytical problems.
• Using AI to work smarter - automating recurring delivery steps like data preparation, quality checks and reporting, and building faster with AI assistants.
• Helping embed AI and machine learning into our products - from a smarter model component in our Continuous MMM to a new signal in Creative AI, our tool for analyzing what makes ad creative perform.
• Owning your workstreams end to end, from quality to timelines.
• Presenting your findings clearly to your team and, increasingly, directly to clients., * 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 engineering or mathematics field.
• Fluency in English, both written and spoken.
• Around 1-3 years of hands-on data science and/or data engineering experience.
• Strong statistics and applied machine learning, solid Python, and good engineering habits.
• A builder’s instinct - you spot where a method or process can be improved, and you make it happen.
• Comfort with ambiguity: you can choose a sound approach when there’s no textbook answer.
• Clear communication - you can explain complex analysis to technical and non-technical people alike.
• 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: hands-on experience using AI tools or assistants to speed up your own delivery.

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.