Student Worker – Data & Digital Analytics

Job Description Are you passionate about using AI and digital solutions to solve real business challenges and create tangible value? Bring your digital superpower in play and join the LEGO team in Billund and become part of a team that is strengthening its digital capabilities by exploring how AI can improve processes, data quality and decision‑making.

Core Responsibilities Analyze technical drawings, order data, product categorization and supplier segmentation rules in cooperation with engineering and business experts

Prepare, clean, structure and label datasets for e.g. machine learning

Explore and evaluate suitable approaches, including computer vision, OCR, multimodal models, metadata-based classification, and rule-based methods

Develop and test a proof of concept for automatically recommending the appropriate product category and supplier segment for an order (matchmaking)

Define evaluation criteria and measure model performance using agreed metrics, including classification accuracy, coverage, confidence, and error types

Validate results with engineering, procurement and other business stakeholders

Document assumptions, data limitation, model performance, and recommendations for further development and/or deployment

Support the exploration of additional AI and analytics use cases, such as supplier-capacity utilization, dispensation process, claims process, ECR process etc.

You will be part of a team that is strengthening its digital capabilities by exploring how AI can solve real business challenges and create tangible value. Working closely with colleagues across the department, you will combine your interest in AI and technology with your understanding of business processes to develop practical solutions. We are looking for a curious and proactive student who is passionate about AI and eager to apply it in a real business environment. You will work at the intersection of technology and business, turning opportunities into solutions that improve efficiency, data quality and decision‑making. As well as developing our first AI use case, you will have the opportunity to explore new opportunities and help shape how we use AI across the department.

Qualifications and Skills Currently studying Mechanical Engineering, Software Engineering, Computer Science or related field with a strong interest in applying technology to real business challenges

Familiarity with Python, data analysis, and machine learning concepts

Interest in computer vision, technical documentation understanding, OCR and multimodal AI

Structured and critical approach to data quality, testing and validation

Curious and analytical mindset, with the ability to understand complex problems, analyze data and turn business needs into practical digital solutions

Strong communication and collaboration skills, with the ability to work closely with business colleagues, understand their needs and translate technical possibilities into tangible business value

Experience with technical drawings, CAD Data etc is an advantage

Fluent in English both written and oral is a must

Danish is not mandatory

Nice to Have Microsoft Power Apps/Power Automate - experience building simple business applications and automating workflows

Python - experience with data analysis, automation

What’s in it for you? 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

Company Culture and Inclusion 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.

Build your career brick by brick and play your part in continuing our mission to “inspire and develop the builders of tomorrow”.

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