Junior Data Scientist

WPP is the trusted growth partner for the world’s leading brands.

We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com.

Title: Junior Data Scientist

Level: Junior-Level Engineer, Data & Technology Solutions

Location: Copenhagen

Reporting to: Lead Engineer

About Open Intelligence:

We are the Activation arm of WPP Open Intelligence. Our team builds the foundational data infrastructure and high-performance edge services that power WPP’s position in the market. With approximately one-third of all global media spend flowing through WPP, our platform operates at the core of this massive network—deeply integrated and adopted by the largest supply-side partners in the AdTech industry. Operating at our scale presents unique engineering challenges. Our edge services currently handle over 60,000 classification requests per second, while our contextual classification pipelines process 10,000 requests per second. With operations spanning the US, UK, and ongoing expansion into EMEA and APAC, our infrastructure continuously interacts with up to 98% of the population in our active markets. We are an engineering-led team focused on building robust, scalable, and highly reliable systems.

WHO WE ARE LOOKING FOR

We are looking for a Junior Data Scientist who is curious about turning data into clear, trustworthy insights. You care more about sound statistical thinking, clean analysis, and honest communication of limitations than about chasing any specific tool or model.

You are comfortable learning team standards for exploratory analysis, experimentation, and reproducible work, then delivering well-scoped analyses, metrics, and model-backed features under guidance from senior data scientists and engineers. You help define questions, validate assumptions, and document findings stakeholders can act on. You support building and evaluating models for defined problems, contribute to data quality and feature understanding, and investigate metric or model anomalies with mentorship. You bring strong hands-on skills in Python or R plus solid SQL, a solid grasp of core statistics and machine learning concepts, and familiarity with visualization and storytelling. Experience with notebooks or scripts, Git, and basic validation of analysis code matters; some exposure to a cloud or modern data stack — or strong motivation to learn in production — is enough to start. Openness to AI coding assistants to learn and work more effectively is welcome.

Beyond the technical craft, you communicate clearly with both technical and non-technical audiences, ask questions when stuck, and share learnings in stand-ups. You take ownership of the quality of your analysis and are motivated by continuous learning, experimentation, and growing into production data science with the team.

WHY ARE WE HIRING We are at a critical inflection point in our growth and need to scale our engineering team to tackle an expanding set of complex challenges. As the digital ecosystem evolves, we are actively developing and releasing a new catalog of privacy-preserving data products. These solutions are designed to scale advanced targeting capabilities while remaining uncompromising on our promise to protect user privacy.

To support this product evolution, our infrastructu