Job Description

Are you interested in cutting edge Machine Learning forecasting models?

If you are passionate about data and want to help the LEGO Group unlock deeper insights, this role is for you. We are looking for a Data Science intern with strong analytical skills to join our Demand Forecasting team.

This is your chance to develop a reproducible framework for Sensitivity Analysis in Demand Forecasting models. Better explainability of Machine Learning models such as gradient boosting is key in communication with stakeholders. Join us and work on the design and implementation of such a framework to carry out sensitivity analysis to help improve this explainability.

Important considerations

• We are looking for someone to ideally start in October 2024.

• This is a 6-month, full-time (37.5h/week) internship based at our London office. Our flexible working model is 3-day office/ 2-home (full remote is not an option).

• In order to be considered, you need to have the right to work in the UK.

• This is a paid internship. Salary will be discussed at the interview stage.

• Along with your CV, please share a cover letter describing why you are interested in and good fit for this internship.

Core Responsibilities

• Design, build and/or configure data science solutions through close collaboration with other team members.​

• Perform exploratory data analysis to discover and solve business opportunities, and develop effective solutions.

• Build efficient and optimal solutions by challenging ideas/opinions.

• Follow highest coding standards e.g., documentation and efficiency.​

• Communicate verbally and in writing to business and team members with various levels of technical knowledge.

Play your part in our team succeeding

In the Demand Forecasting team we have built complex models where it is not easy to explain what truly drives a change in our forecasts from one delivery to the next. This understanding is a vital component for our stakeholders, and, as such, for the product. 

One solution to this is to design and implement a framework to carry out sensitivity analysis. This would tell us what sort of change to expect when, for example, the prices change, a theme changes or a launch date is moved back. Similarly, we could understand how sensitive our model(s) is to any given feature and ensure that we were using the best features. This would be incredibly valuable to the team and to our stakeholders.

Do you have what it takes?

• Ideally working towards a Master's degree, or PhD in a highly quantitative field such as Computer Science, Mathematics or Statistic related disciplines.

• Skills in Python for data science, including how to write modular Pythonic code.

• Theoretical and applied knowledge with time series modelling.

• Theoretical and applied knowledge with gradient boosting models.

• Proficiency in English (C1 level).

Other nice to have skills:

• Skills in SQL for data science.

• A good working knowledge of the latest time series modelling techniques.

#LI-NS2

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.

Research shows that women and people from different underrepresented backgrounds often only apply for a job if they meet 100% of the listed qualifications. If you dream of being a part of our team and you meet many, but not all of our listed qualifications for this role, please apply.

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.