Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Drive value through data science and develop robust machine learning models.
- Company: Join the LEGO Group, a leader in innovation and creativity.
- Benefits: Enjoy family care leave, wellbeing resources, and a generous colleague discount.
- Why this job: Make a real impact by building scalable AI solutions in a playful environment.
- Qualifications: Proficiency in Python and experience with ML tools like PySpark and scikit-learn.
- Other info: Collaborative culture with opportunities for career growth and development.
The predicted salary is between 36000 - 60000 £ per year.
Can you drive measurable value through the applied use of data science? Are you passionate about helping us innovate and test out new paths? 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.
Qualifications & Experience
- 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.
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.
Responsibilities
- Develop working and robust machine learning models to solve complex problems.
- Build end-to-end ML and AI solutions that 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 data scientist who can help build solutions in a production ready setup with a focus on scalability and maintainability. 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. Your tasks will include the items listed above.
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. 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.
Benefits
- 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 belongs.
Data Scientist / Machine Learning Engineer - Parental Leave Cover in City of Westminster employer: LEGO Gruppe
Contact Detail:
LEGO Gruppe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist / Machine Learning Engineer - Parental Leave Cover in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to current employees at the LEGO Group or in similar roles on LinkedIn. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best machine learning projects. Whether it's a GitHub repo or a personal website, let your work speak for itself.
✨Tip Number 3
Ace the interview by practising common data science questions and scenarios. Think about how you can demonstrate your collaborative spirit and playful attitude during discussions.
✨Tip Number 4
Don’t wait around! Apply through our website as soon as you see the job listing. The sooner you apply, the better your chances of landing that dream role with us!
We think you need these skills to ace Data Scientist / Machine Learning Engineer - Parental Leave Cover in City of Westminster
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data science and machine learning shine through. We want to see how you can drive measurable value and innovate, so share specific examples of your past experiences that highlight your passion.
Tailor Your CV: Make sure your CV is tailored to the role. Highlight your proficiency with Python and any relevant libraries like PySpark or scikit-learn. We love seeing candidates who can demonstrate their technical skills in a way that aligns with our needs.
Collaborative Spirit: We’re all about teamwork here at StudySmarter, so emphasise your collaborative experiences in your application. Share stories of how you've worked in cross-functional teams and contributed to successful projects, as this is key to thriving in our agile environment.
Apply Early!: Don’t wait until the last minute to submit your application. We review applications on an ongoing basis, so the sooner you apply through our website, the better your chances are of standing out. We can’t wait to hear from you!
How to prepare for a job interview at LEGO Gruppe
✨Know Your Tech Stack
Make sure you brush up on your Python skills and the libraries mentioned in the job description, like PySpark and scikit-learn. Be ready to discuss how you've used these tools in past projects, as this will show your technical proficiency and relevance to the role.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex problems you've solved using machine learning. Highlight your thought process and the impact your solutions had on previous projects. This will demonstrate your ability to drive measurable value through data science.
✨Emphasise Collaboration
Since the role involves working in an agile, cross-functional setup, be ready to talk about your experiences collaborating with diverse teams. Share how you’ve contributed to team success and how you handle feedback and differing opinions.
✨Stay Current with Industry Trends
Familiarise yourself with the latest developments in machine learning and AI. Mention any recent trends or technologies that excite you during the interview. This shows your passion for the field and your commitment to continuous learning, which is crucial for this role.
