Job Description

Just imagine turning manufacturing and engineering data into actionable insights that elevate every LEGO® brick’s quality. Then make it real!

This Senior Data Scientist role sits within Data & Automation under Advanced Engineering at our Billund site. You’ll be building predictive data systems, drive quality assurance, enable process improvements and much more to stabilize production workflows across element and mould manufacturing.

Play your part in our team succeeding

We have unified many of the strong digital capabilities existing in Elements & Additive Engineering (E&AE), by combining Computer Aided Engineering (CAE), Data Science, and Software Automation capabilities into one unit - Advanced Engineering. It is our goal to elevate these capabilities and reinforce their importance and impact in the operational value chain.

Our ambition is to deploy these capabilities in E&AE and beyond, while creating a strong center of excellence in Data & Automation (D&A) within Advanced Engineering to secure critical digital capabilities for the future.

D&A is a young team that creates data insights for data-driven decision making on all organizational levels. We improve product quality and strengthen processes through data analysis. Also, we reduce tedious process steps to enable value-adding engineering productivity initiatives through low code / no code automation platforms for Engineering & Algorithmic modelling software.

In short - it is where digital simulations meet data science and process automation.

As a Senior Data Scientist, you will be essential for the D&A team to reach our goals, enable us to make the right prioritizations, leading the digital change and being a strong role model – not only for the team but also for our stakeholders and collaborators.

Core Responsibilities

• Predictive Modeling Drive the development of models to predict process quality, potential defects, and forecast maintenance schedules using techniques like statistical analysis, machine learning and AI models.
• Quality Assurance Drive the implementation of quality control algorithms and anomaly detection methods to monitor the operations processes and identify deviations or defects.
• Process Optimization Collaborate with engineers and value chain teams to optimize operations processes based on data-driven insights, aiming to understand and improve process stability and element and mould quality, as well as enabling faster technology development cycles.
• Communication and Visualization Ensure effective communication of findings and insights through data visualization and reports to cross-functional teams, stakeholders and external partners to develop operations solutions
• Data Cleaning and Preprocessing Responsible for the preparation of collected data by cleaning, organizing, and transforming it into a suitable format for visualization and analysis. Assess large data quantities and ensure the dimensional reduction of these data is handled in a way that minimizes the consequences of this reduction.
• Root Cause Analysis Engage in investigating and identifying the root causes of process issues or failures by analyzing historical data, helping in continuous improvement efforts.
• Capabilities Building Support in building capabilities within the LEGO Group to develop and enhance data science skills, knowledge and expertise to expand our Advanced Engineering roadmap and meet organizational goals.
• Data Collection Support in setting up data extractions methods to gather data from various existing sources. Also, identify data weaknesses and recommend where to secure sensor data, machine logs, and quality control measurements.

Do you have what it takes?

• Background in statistical modelling and data analysis spanning two or more years
• Strong analytical skills with the ability to analyze, understand and illustrate data
• Experience in programming such as Python, R, etc. as well as experience with data visualization platforms such as Power BI,
• Experience in working with cloud services, such as Microsoft Azure, and data engineering platforms such as Databricks
• Strong ability to navigate complex data from various sources as well as experience with ETL (Extract, Transform, Load)
• A team player that strives to succeed in an ever-changing and challenging environment
• Organized and structured, independent, self-driven and proactive attitude
• Excellent communication and organizational skills
• Experience with GitHub
• Ability to construct Machine Learning models
• Advanced English

Nice to Have:

• Experience with Big Data, Manufacturing Data
• Knowledge of Additive Manufacturing and Injection Moulding technologies
• Flare for innovation, development, and out of the box thinking

No relocation assistance is offered for this position

#LISZ

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.