Data Science Student Worker - Shape SKU Analytics (Hybrid)

LEGO Gruppe; Billund; Hybrid; DKK 193,000 - 248,000; Part time

Benefits offered by this job

Family Care Leave

Life & Disability Insurance

Wellbeing resources

Colleague Discount

Bonus Scheme

Hybrid Work Policy

Job summary

LEGO Group is seeking a Data Science Student Worker to support our SKU performance scoring system and optimize assortment tools. You’ll work with experienced data scientists on real production pipelines, contributing to data prep, experimentation, and production code.

You’ll learn by doing, collaborate across teams, and help turn analyses into actionable improvements while balancing 15–20 hours per week at our Billund campus.

Qualifications

• Solid Python fundamentals.
• Good understanding of data analysis and machine learning concepts.
• Comfortable with SQL and working with tabular data.
• Fluent English.

Responsibilities

• Support the development of the next generation of SKU performance scoring capabilities.
• Run experiments that improve prediction models and generate actionable insights.
• Contribute to assortment optimisation tools used by hundreds of users every day.
• Help maintain and improve production data science solutions.
• Work with experienced team members to turn analysis into practical outcomes.

Skills

Python fundamentals

Data analysis concepts

SQL & tabular data

Fluent English

PySpark

Databricks

AWS

Optimization / OR exposure

Tools

Databricks

AWS

PySpark

Job description

LEGO Group is seeking a Data Science Student Worker to support our SKU performance scoring system and optimize assortment tools. You’ll work with experienced data scientists on real production pipelines, contributing to data prep, experimentation, and production code.

You’ll learn by doing, collaborate across teams, and help turn analyses into actionable improvements while balancing 15–20 hours per week at our Billund campus.