Senior Manager, Data Scientist for People Analytics

Location: City Of London

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…