Student Worker – Data & Digital Analytics

Lego Group; Billund; Sur place; DKK 193 000 - 303 000; Plein temps

Avantages offerts par ce poste

Family Care Leave

Insurance

Wellbeing resources

Colleague Discount

Bonus

Hybrid workplace policy

Résumé du poste

The LEGO Group in Billund is seeking a curious student worker to help explore AI-driven solutions that improve processes and data quality. You will collaborate with engineering, procurement and business teams to identify, develop and validate AI-assisted processes that drive tangible value.

Your work includes preparing data for machine learning, evaluating approaches like computer vision and OCR, and developing a proof of concept for automatic product category and supplier segment

Qualifications

• 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, 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
• Experience with technical drawings, CAD data is an advantage

Responsabilités

• Analyze technical drawings, order data, product categorization and supplier segmentation rules with engineering and business experts
• Prepare, clean, structure and label datasets for e.g. machine learning
• Explore and evaluate approaches including computer vision, OCR, multimodal models and rule-based methods
• Develop and test a proof of concept for recommending product category and supplier segment for an order
• Define evaluation criteria and measure model performance using classification accuracy, coverage and error types
• Validate results with engineering, procurement and other business stakeholders
• Document assumptions, data limitations, model performance and recommendations for future development

Connaissances

Python

Data analysis

Machine learning concepts

Computer vision

OCR

Multimodal AI

Collaboration

Formation

Current student in Mechanical Engineering, Software Engineering, Computer Science or related field

Outils

CAD data

Power Apps/Power Automate

Description du poste

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 Group 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

As a student worker, you will work closely with the business to identify, develop and validate AI-supported solutions to real operational challenges. You will have the opportunity to combine your interest in AI and technology with a strong understanding of business processes — turning ideas into practical solutions that create measurable value.

Your tasks will cover:

• 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-bassed 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 eingineering, procurement and other business stakeholders

• Document assumptions, data limitation, model performance, and recommendationsf or futher 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.

Play your part in our team succeeding

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.

Do you have what it takes?

• 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 multimodel 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.

Nice to have

• Microsoft Power Apps/Power Automate – experience building simple business applications and automating workflows

• Python – experience with data analysis, automation

• Danish is not mandatory. Fluent in English both written and oral is a must.

Join the global LEGO team

Build your career brick by brick at the LEGO Group.

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 seeksto 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.