Data Scientist / Machine Learning Engineer - Parental Leave Cover

Job Description

Can you drive measurable value through the applied use of data science? Are you passionate about helping us innovate and test out new paths?

This is a temporary hire for approximately one year, and we do not offer financial support for relocation for this role.

The utilization of Data Science and AI is rapidly growing within the LEGO Group. We use the methodologies to discover deeper insights, make predictions, or generate recommendations to continue delivering world class learning-through play experiences to children.

You will be joining the AI + Data Science Organisation, which is the home of 50 data scientists and engineering colleagues, distributed across our Denmark and UK offices.

You will be reporting into the Trade Promotion Effectiveness which has the purpose of providing insights and guidance to our Key Account Managers and B2B customers on Trade promotions. We are looking for a data scientist who can help build solutions in a production ready setup with a focus on scalability and maintainability.

Your tasks will include:

• Develop working and robust machine learning models to solve complex problems.
• Build end-to-end ML and AI solutions that can are easy to maintain and scale
• Collaborating with partners to ensure that data science work is delivering real value.
• Contribute to our ways of working and help establish standard methodologies.
• Staying up to date with machine learning developments across the industry.

We are looking for a candidate with emphasis on one or more of the following: data science, computer science, engineering, mathematics, or an equivalent quantitative subject area.

You have previous experience creating working ML and AI solutions in a large organization and are used to working in an agile cross functional setup and with a broad range of partners.

• Proficiency with Python (or similar languages) and its libraries for machine learning such as PySpark, scikit-learn, pandas and pytorch.
• Prior experience with general software development practices including code management (Git) and testing.
• Collaborative spirit and a playful can-do attitude.
• Persistent with a well-rounded view on creating solutions.
• Experience with tools and platforms such as Databricks and MLflow for ML training and experimenting is highly desirable.

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.