At a Glance
- Tasks: Use data science to drive people insights and optimise talent strategies.
- Company: Join the LEGO Group, a leader in creativity and innovation.
- Benefits: Enjoy family care leave, wellbeing resources, and a generous colleague discount.
- Other info: Hybrid work policy with opportunities for continuous learning and networking.
- Why this job: Make a real impact on recruitment processes while having fun in a dynamic team.
- Qualifications: Experience in data analysis, programming, and strong communication skills required.
The predicted salary is between 54000 - 66000 £ per year.
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.
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.
What’s in it for you?
- 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 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.
Senior Manager, Data Scientist for People Analytics employer: LEGO System A/S
The LEGO Group is an exceptional employer that fosters a vibrant and inclusive work culture, where creativity and collaboration thrive. Located in London, this role offers not only competitive benefits such as enhanced family care leave and comprehensive insurance coverage but also ample opportunities for professional growth through continuous learning and engagement with HR professionals across the organisation. Join a dynamic team dedicated to delivering impactful insights while enjoying a generous colleague discount and a supportive hybrid work environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager, Data Scientist for People Analytics
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like LEGO System A/S!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Manager, Data Scientist for People Analytics at LEGO System A/S.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like LEGO System A/S.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Manager, Data Scientist for People Analytics at LEGO System A/S, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Manager, Data Scientist for People Analytics
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at LEGO System A/S, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at LEGO System A/S. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at LEGO System A/S
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at LEGO System A/S!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
