Senior Data Scientist, Global Commercial Applied Data Science

Job Description

#LI-KO1

Would you be interested in helping us transform how commercial teams understand and act on business performance through advanced analytics, machine learning, and AI-driven insights? We're looking for a Senior Data Scientist to deliver end-to-end intelligence solutions — from predictive modelling to strategic reporting — that drive commercial decisions across global markets.

We do not offer financial support for relocation. This role is based in Billund, Denmark.

Come join us!

Core Responsibilities

• Deliver end-to-end data science and analytics projects, from framing business problems and defining metrics to developing machine learning models, creating dashboards, and deploying production-ready solutions that create measurable business value.
• Apply advanced statistical methods, predictive modelling, and machine learning techniques — including classification, regression, ensemble methods, and deep learning — to uncover opportunities, identify risks, and solve complex commercial challenges across products, channels, customers, and markets.
• Design and implement MLOps workflows and analytics pipelines using MLflow, Unity Catalog, Databricks Model Serving, and data marketplace tools like Collibra to ensure scalable, reliable, and discoverable solutions.
• Create compelling data visualisations and commercial narratives using PowerBI, Databricks AI/BI Dashboards, and other frontend tools that bring both descriptive insights and predictive intelligence to life for business stakeholders.
• Develop and deploy Generative AI solutions, including RAG architectures, agentic workflows, and LLM-powered applications, to enhance commercial analytics, automation, and decision-making capabilities.
• Own and continuously improve global performance tracking, predictive analytics, and reporting processes by designing semantic metrics, developing data products, and ensuring consistency and trust across markets and channels.
• Collaborate across teams — including Global Commercial Development, Analytics & Insights, Data Office, Data Science, and Digital Products — to ensure data science and analytics solutions align with business processes and strategic initiatives.
• Coach and mentor junior data scientists and analysts, facilitate workshops, and share domain expertise to maximise the team's collective impact on commercial outcomes.

Play your part in our team succeeding

This pivotal role bridges the gap between technical data capabilities and commercial business needs, ensuring stakeholders have the insights they need to make informed decisions.  You will drive the quality and consistency of commercial analytics while building strong partnerships with business teams across global markets.

Do you have what it takes?

Ideally, you have a background in Data Science, Machine Learning, Statistics, Economics, Computer Science, or a related quantitative field. In addition, you bring:

• Proven experience applying machine learning, statistical modelling, and advanced analytics techniques to solve complex business problems at scale and translating business requirements into actionable solutions.
• Expert proficiency in Python, SQL and PySpark, version control tools like GitHub, and data visualisation tools such as PowerBI and Databricks AI/BI Dashboards.
• Strong skills in data wrangling, modelling, and data visualisation — with an ability to balance speed and quality in a fast-paced business environment.
• Experience with full analytics and ML lifecycle — feature engineering, model development, evaluation, deployment, monitoring, and semantic metric design — with experience in MLOps practices and data quality management.
• Experience or familiarity with Databricks, Agile Framework, Asset Bundles, MLOps Stacks, GitHub actions and Generative AI is a highly valued.
• Familiarity with Generative AI technologies, including RAG architectures, prompt engineering, LLM fine-tuning, and agentic frameworks is a plus.
• Excellent presentation and communication skills to synthesise complex data science methods and findings into clear, persuasive narratives for both technical and executive audiences.
• Demonstrated experience working directly with business stakeholders to gather requirements, identify high-value use cases, manage priorities, and deliver high-impact results.
• A collaborative, positive mindset and experience coaching, mentoring, or facilitating workshops with junior team members.
• A passion for continuous learning, staying current with emerging AI/ML techniques, visualisation methods, and analytics tools, and sharing knowledge with your team.
• Previous experience in commercial analytics, consumer goods, or retail industries is a plus.

Applications are reviewed on an ongoing basis. However, please note we do amend or withdraw our jobs and reserve the right to do so at any time, including prior to any advertised closing date. So, if you're interested in this role we encourage you to apply as soon as possible.

What’s in it for you?

Here is what you can expect:

Family Care Leave - We offer enhanced paid leave options for those important times.

Insurances – All colleagues are covered by our life and disability insurance which provides protection and peace of mind.

Wellbeing - We want our people to feel well and thrive. We offer resources and benefits to nurture physical and mental wellbeing along with opportunities to build community and inspire creativity.

Colleague Discount – We know you'll love to build, so from day 1 you will qualify for our generous colleague discount.

Bonus - We do our best work to succeed together. When goals are reached and if eligible, you'll be rewarded through our bonus scheme.

Workplace - When you join the team you'll be assigned a primary workplace location i.e. one of our Offices, stores or factories. Our hybrid work policy means an average of 3 days per week in the office. The hiring team will discuss the policy and role eligibility with you during the recruitment process.

Children are our role models. Their curiosity, creativity and imagination inspire everything we do. We strive to create a diverse, dynamic and inclusive culture of play at the LEGO Group, where everyone feels safe, valued and they belong.

The LEGO Group is highly committed to equal employment opportunity and equal pay and seeks to encourage applicants from all backgrounds (eg. sex, gender identity or expression, race/ethnicity, national origin, sexual orientation, disability, age and religion) to apply for roles in our team.

The LEGO Group is fully committed to Children’s Rights and Child Wellbeing across the globe. Candidates offered positions with high engagement with children are required to take part in Child Safeguarding Background Screening, as a condition of the offer.

Thank you for sharing our global commitment to Children’s Rights.

Just imagine building your dream career.

Then make it real.

Join the LEGO® team today.