Intern - Digital Data Science and Analytics

Join our Amsterdam Digital Data Science and Analytics teams

At adidas, we believe that data is one of the most important resources, enabling us to better understand our consumer, enhance their experience and connect them to their passion. In the Digital Data Science and Digital Analytics teams, we create fact-based insights through a holistic, integrated, and actionable storytelling approach across relevant digital marketing initiatives to help improve and shape future digital publishing and media plans, tactics, content strategies and brand narratives.

Digital Data Science

The Digital Data Science team at adidas focuses on forecasting and pricing solutions by leveraging advanced machine learning models to support buying, planning, and trading decisions. They provide forecasting and price recommendations during key commercial events like Black Friday and seasonal sales periods, with solutions live across the globe.

In parallel, the team is actively evolving toward agentic AI-powered decision support, building AI trading agents. This includes exposing pricing and forecasting capabilities through intelligent agents, orchestrating model workflows via natural-language interactions, and embedding governed business context to ensure reliable, explainable outputs.

Operating in an Agile setup, the team collaborates closely with data engineers, ML operations engineers, solution architects, and business teams to experiment with new AI-native workflows, improve model performance, and translate complex data science solutions into intuitive, self-service tools for markets.

Digital Analytics

The Digital Analytics team at adidas is responsible for delivering cutting-edge analytics services to internal stakeholders, enabling them to make fact-based decisions. The team manages the generation of insights that help adidas understand consumer behavior and performance-related analytics to ultimately help drive sales.

Digital Partner Analytics

The Digital Partner team collaborates with various Partner and Wholesale teams to capture reporting requirements and support the Analytics team in implementing these. The team also supports enhancement of the backend structure of performance dashboards and proactively seeks new reporting opportunities to provide additional performance insights.

Grow your capabilities through meaningful tasks and projects

• Project Contribution: Contribute to assigned AI and data science projects, supporting tasks such as model implementation, experimentation workflows, and integration with applications or databases.
• Reporting and Best Practices: Support the implementation of reporting structures for communicating model results and data-driven insights. Follow best practices in data science, experimentation, and documentation.
• Data Analysis and Visualization: Apply data analysis techniques to explore datasets, perform feature engineering, and support model development. Utilize visualization tools to effectively communicate findings and model outcomes.
• Machine Learning & AI: Support the development and implementation of machine learning models by assisting in data preparation, experimentation, and evaluation. Contribute to exploring AI agents and RAG-based solutions to generate intelligent, scalable insights.
• Operationalization and Automation: Assist in automating data workflows, model pipelines, and reporting processes. Support experimentation with modern tools and frameworks for ML deployment and scalable AI solutions.

What would make you a match?

• Student of Data Science, Computer Science, Engineering, or a related field
• Strong problem-solving and analytical skills with a structured way of thinking
• Initial experience or coursework in machine learning or data science projects
• Strong written and verbal communication skills
• Hands-on working style with the ability to learn quickly and meet deadlines
• Agile, open-minded team player with a passion to connect sports and lifestyle with AI, technology, and innovation
• Eagerness to continuously improve oneself and to further develop own skills
• Fluent in English
• Affinity to digital tools and modern AI frameworks
• Strong MS Office skills, especially PowerPoint and Excel
• Proficiency in Python and/or SQL; familiarity with machine learning/deep learning libraries
• Exposure to LLMs, RAG, or AI agents is a plus

What's in it for you

• Employee discounts on products
• Chances to attend and take part in on-campus events and sponsored adidas events and games
• Structured training and development, access to LinkedIn Learning, language training and adidas Learning Portal
• Possibility to join the mentorship program, networking opportunities or employee resource groups
• International intern community and work environment
• Regular development conversations as part of the role
• Inspiring campus with canteens, cafes, reflection rooms and sport facilities including an on-site gym
• Company events focusing on sports and mental health
• Flexible and agile working arrangements with 40% home office possible

Eligibility

• Enrolled as a full-time student for the complete duration of the internship
• Candidates in penultimate year of study preferred; following the internship, students should have a maximum of one year to graduate
• Availability for the full duration of the internship from September 2026 to January 2027
• Local to Amsterdam or able to relocate to Amsterdam for the full duration of the internship

Key facts

• Start date: September 1st, 2026
• Duration: 5 months

Our culture

At adidas, we have a winning culture. But to win, physical power is not enough. Just like athletes, our employees need mental strength in their game. We foster the athlete’s mindset through a set of behaviors that we want to enable and develop in our people and that are at the core of our unique company culture: this is how we win while playing fair.

• Courage: Speak up when you see an opportunity; step up when you see a need.
• Ownership: Pick up the ball. Be proactive, take responsibility and follow through.
• Innovation: Elevate to win. Be curious, test and learn new and better ways of doing things.
• Teamplay: Win together. Work collaboratively and cultivate a shared mindset.
• Integrity: Play by the rules. Hold yourself and others accountable to the company’s standards.
• Respect: Value all players. Display empathy and show dignity to all.