Job Description

Veikkaus is embarking on its most significant transformation yet. As we prepare for the opening of the Finnish licensing market in 2027 and rapidly expand our international presence, data and AI are at the absolute core of our strategy.

We are looking for a Data Scientist to contribute to the development of advanced personalization and recommendation models. In this key role within our Personalization team, you will design and implement machine learning solutions that enhance customer experience across our digital channels and drive measurable business impact. You will collaborate closely with fellow data scientists and engineers across the full machine learning lifecycle, taking a broad, hands-on role in data generation and exploration, model development, evaluation, and deployment.

This is full-time, permanent position and located at Veikkaus headquarters in Pohjois-Haaga, Helsinki. To foster collaboration and effective teamwork we work in a hybrid model with three on-site days per week. Please note that this job requires a valid residence permit for all non-EU citizens.

Your responsibilities will include (but are not limited to)

• Design, build, and optimize production-grade recommendation engines and personalization models
• Develop algorithms for dynamic content ranking, cross-sell/up-sell, churn prediction, and personalized player journeys in a responsible gaming context
• Build and connect the full production loop: from data and feature pipelines to real-time model serving, online A/B testing, and continuous optimization with engineering and product teams
• Take full ownership of your models across the entire lifecycle from data generation and investigation to deployment proactively finding ways to make the product better every day
• Build, monitor, and iterate on production ML workflows using modern MLOps practices (CI/CD for ML, model monitoring, feature stores) to ensure reliable, real-world performance
• Design and analyze rigorous A/B tests and experiments to quantify model performance and business impact.
• Leverage modern agentic coding tools and AI-assisted workflows to build and iterate faster, backed by a strong intuitive grasp of the underlying algorithms, data behavior, and production system architecture
• Translate business goals into technical metrics and actionable data science problems

This role is for you if you

Extensive experience (3+ years) in data science, with a strong focus on building and deploying recommendation systems or personalization solutions in production environments (e.g., e-commerce, gaming, media, AdTech). You also have hands-on experience with ML engineering practices, including building, orchestrating, and maintaining reliable end-to-end data and feature pipelines for training and inference.

We also need you to have:

• Strong programming skills in Python and solid experience with modern ML frameworks (e.g. PyTorch, TensorFlow)
• Deep understanding of machine learning algorithms and techniques (e.g., collaborative filtering, two-tower retrieval models, gradient-boosted trees, learning-to-rank, and causal inference).
• Good SQL skills and experience working with large-scale data in cloud environments (e.g. Snowflake/BigQuery)
• Familiarity with MLOps concepts and tools (e.g., model versioning, CI/CD for ML, monitoring; experience with Azure/AWS/GCP is a plus)
• Strong business acumen and the ability to link technical work to business KPIs

You have excellent problem-solving skills and a proactive, "can-do" attitude. You have excellent communication skills in English (both oral and written) and you can explain complex data insights and model behavior clearly to business stakeholders.

We consider as an advantage if you have 

• Experience in the gambling or gaming industry
• Knowledge of Responsible Gaming principles and how to apply them in AI models
• Experience with Generative AI (LLMs) and its applications in personalization
• Understanding of AI governance and ethical AI practices
• Master’s or PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field

We offer:

• A workplace where the game evolves – and so do you. You’ll face meaningful challenges and gain new skills while contributing to shared success – in Finland and beyond. We value curiosity and create space for it to thrive.
• Inspiring and supportive teammates you can rely on. The best ideas and world-class entertainment are built together – and Veikkaus thrives because of its people.
• Balanced and inspiring work life. At Veikkaus, we believe a good job adds something to life – but isn’t all there is to it.
• Innovation: Be part of a forward-thinking team that is actively exploring GenAI and modern MLOps.
• Excellent employee benefits. You can read more about us and our benefits from here.

It is important to us that everyone can come to work as their authentic selves. We value diverse backgrounds, skills, and perspectives, and believe that success comes from working in diverse teams. We encourage individuals from various backgrounds to apply for our jobs.

Interested?

Awesome! Please send your application with CV and salary request no later than 30.11.2026. We are excited to hear from you!

For any inquiries about the position don't hesitate to contact Miki Sulander, Head of Analytics via email (miki.sulander@veikkaus.fi).

A drug test under Section 7 of the Act on the Protection of Privacy in Working Life (759/2004) will be conducted for the selected candidate

Veikkaus on jokaisen suomalaisten oma peliyhtiö, joka kehittää vastuullista ja viihdyttävää rahapelaamista. Tarjoamme merkityksellisiä tehtäviä, kasvun mahdollisuuksia ja työyhteisön, jossa välittäminen, yhdessä tekeminen ja rohkeus näkyvät arjessa. Haluamme, että jokainen voi kehittyä, onnistua ja olla oma itsensä – samalla kun rakennamme menestystä yhdessä.

Paremman pelin puolesta – ja työelämän.