
Digital Technology Student Worker - Data Science
- Python
- Machine Learning
- SQL
- Databricks
- AWS
Job Description
Just imagine helping decide which LEGO® sets appear on shelves for different customers around the world. Then make it real.Â
About the roleÂ
As our Data Science Student Worker,you'll support the team behind the next version of ourstock keeping unit (SKU)performance scoring system, run experiments to improve novelty predictions, and help evolve assortment optimization tools.You'll work alongside experienced data scientists on real production pipelines, contributing to data preparation, experimentation, analysis, and production code.It's a hands-on role designed to help you learn while making a meaningful contribution from week one.Â
Required QualificationsÂ
Solid Python fundamentals
Good understanding of data analysis and machine learning concepts,e.g. from coursework or other experienceÂ
Comfortable with SQL and working with tabular dataÂ
Fluent EnglishÂ
Preferred QualificationsÂ
Exposure to optimization / operations research (e.g. linear programming)Â
Familiarity with cloud data platforms (Databricks, AWS)Â
Experience withpysparkÂ
Whatyou'll buildÂ
Support the development of the next generation of SKU performance scoring capabilitiesÂ
Run experiments that improve prediction models and generate actionable insightsÂ
Contribute to assortmentoptimisation tools used by hundreds of users every dayÂ
Helpmaintain and improve production data science solutionsÂ
Work with experienced team members to turn analysis into practical outcomesÂ
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Ifyou've worked in a role where you used real data to answer business questions,you'll feel at home here. What matters most is your ability to learn, contribute to shared code, and translate analysis into meaningful improvements.Â
Life on the teamÂ
You'll join the Assortment & Space Management team within Digital Technology. We help deliver customer- and channel-specific assortment recommendations while creating greater portfolio transparency across the business. Our team works in a hybrid rhythm with daily stand-ups and weekly team sessions, including anchor days on Tuesdays and Thursdays.You'll work closely with data scientists and software engineers while bringing curiosity, reliability, anda strong team spirit to everything you do.Â
What success looks likeÂ
Success means confidently contributing to production systems, running experiments that improve model performance, and becoming a trusted member of the team. Over the next 12 to18 months,we're focused on rolling outa new version of our core product performance scoring and prediction system.You'll work closely with data scientists and software engineers to help shape that journey while building skills that can grow with you at the LEGO Group.Â
We're looking for students whoÂ
Are currently enrolled in Denmark in aBachelor’s, Master’s, orErhvervsakademi (professional academy) program in fields related to data.Â
Preferably graduating summer 2028 or beyond, having at least 1.5-2 years left of studiesÂ
Are curious and willing to learn, with apositive, team-player attitude.Â
Can be present 15–20 hours per week, ideally with 1–2 days at ourLEGO Campus in Billund.Â
Are passionate about digital technology and eager to contribute to real projects.Â
Ifyou're interested in joining us, please prepare your CV and cover letter in English.Â
The application portal will remain open from 14th September to 12th October 2026, but it may be taken down earlier so we urge you to apply as soon as possible. If you are shortlisted, you will be invited to attend our Assessment Day on 4th November 2026 at ourKornmarken Campus in Billund.Following the Assessment Day, there will be one final interview round. The expected start date for successful candidates is either1st December 2026 or1st January 2027.Â
#LI-MF2Â
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.
Digital Technology Student Worker - Data Science · LEGO Operac. MX, SA de CV