Senior Manager, Data Scientist for People Analytics

LEGO System A/S

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London Until 10/7/2026 First posted August 8, 2026 Last posted August 8, 2026
Job description

Job Description

Are you ready to partner up with our business and deliver data-driven people insights to benefit decision-making?

Our People Planning & Analytics team is looking for a new colleague who wants to contribute with solid experience in data analysis, statistical modelling and machine learning to contribute towards talent optimization, workforce planning and overall People Analytics.
 

Please note: This role is based in London and we do not support relocation.
 

Core Responsibilities

  • Utilize statistical techniques to extract meaningful insights from diverse datasets related to candidate sourcing, application processes, employee onboarding, and end-to-end employee life cycle.

  • Develop predictive models to forecast future talent needs, attrition rates, and identify potential recruitment challenges.

  • Collaborate with HR and recruitment teams to identify opportunities for process optimization through data-driven recommendations.

  • Analyze end-to-end recruitment workflows to improve efficiency, reduce time-to-fill, and enhance candidate experience.

  • Communicate findings and insights in a clear and compelling manner to both technical and non-technical audiences.

  • Work with various data sources, ensuring data integrity, accuracy, and completeness.

  • Design and create interactive dashboards and reports for key stakeholders, providing real-time visibility into recruitment metrics and performance indicators.

  • Stay abreast of industry trends, emerging technologies, and best practices in data science and analytics.

  • Propose and implement innovative solutions to address evolving challenges in the recruitment landscape.
     

Play your part in our team succeeding
You will join a highly dynamic team that focuses on delivering high-quality insights - and we know that the best way to do that is by ensuring continuous learning while having fun. Therefore, you will get plenty of responsibility combined with great team spirit. You will have plenty of opportunities to apply and share your knowledge and through engaging with HR professionals from across the LEGO Group, you will quickly gain a valuable LEGO® network.

Do you have what it takes?

The ideal candidate brings solid experience in applying data science techniques to HR or recruitment analytics and strong stakeholder management and communication skills. In addition, we are looking for an individual who can bring:

  • Relevant proficiency in programming languages such as Databricks, Python or R, and experience with relevant libraries (e.g., Pandas, Scikit-learn).

  • Strong knowledge of statistical modelling, machine learning algorithm and advanced analytics

  • Expertise in visualization tools (Power BI, Visier, Workday, Power Automate, advanced Excel and other SWP tool)
     

As a person, you have excellent communication skills to convey complex findings to both technical and non-technical stakeholders and you are a phenomenal collaborator with a keen interest in understanding relevant business problems and proven experience in managing complex and demanding stakeholders.

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.

About this role

Summary

Apply data science to HR and recruitment analytics to optimize talent strategies.

Job title

Senior Manager, Data Scientist for People Analytics

Experience level

solid experience

Industry

toys and entertainment

Location requirements

London, no relocation support, hybrid work allowed

Salary

Not specified

Management role

No

Skills & keywords

Required skills

programming (Databricks, Python, R)libraries (Pandas, Scikit-learn)statistical modellingmachine learningvisualization tools (Power BI, Visier, Power Automate, Excel)

Preferred skills

None specified

Specializations

data analysisstatistical modellingmachine learningHR analyticsrecruitment analytics
Locations

Structured locations inferred from the posting.

London, UK

Hybrid City
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