At a Glance
- Tasks: Deliver actionable insights through data-driven models and collaborate with marketing teams.
- Company: Leading toy manufacturer in Greater London with a focus on innovation.
- Benefits: Hybrid work environment, comprehensive wellbeing benefits, and professional development opportunities.
- Why this job: Join a dynamic team and make a real impact in marketing effectiveness.
- Qualifications: Strong programming skills in Python and R, plus experience in marketing analytics.
- Other info: Exciting opportunities for continuous learning and career growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading toy manufacturer in Greater London seeks an enthusiastic Data Scientist to join its Marketing Effectiveness team. The role involves delivering actionable insights through data-driven models, collaborating with product managers and marketing partners, and continuous improvement of data solutions.
Successful candidates will possess strong programming skills in Python and R and experience in marketing analytics.
The company offers a hybrid work environment, comprehensive wellbeing benefits, and opportunities for professional development and learning.
Marketing Data Scientist: MMM & Insights employer: the LEGO Group
Contact Detail:
the LEGO Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Data Scientist: MMM & Insights
✨Tip Number 1
Network like a pro! Reach out to folks in the marketing and data science fields on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data-driven models and insights. This is your chance to demonstrate your programming prowess in Python and R, and it’ll make you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on common data science questions and be ready to discuss how you've used analytics to drive marketing effectiveness. We want you to shine and show them why you're the perfect fit for their team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing enthusiastic candidates who are keen to join our innovative team.
We think you need these skills to ace Marketing Data Scientist: MMM & Insights
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data science shine through! We want to see how your love for numbers and insights can contribute to our Marketing Effectiveness team.
Highlight Relevant Skills: Make sure to showcase your programming skills in Python and R. We’re looking for candidates who can hit the ground running, so don’t be shy about sharing your experience in marketing analytics!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific projects or experiences that align with delivering actionable insights and collaborating with teams, as these are key aspects of the job.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at the LEGO Group
✨Know Your Data Tools
Make sure you brush up on your Python and R skills before the interview. Be ready to discuss specific projects where you've used these programming languages to derive insights, as this will show your technical prowess and relevance to the role.
✨Understand Marketing Analytics
Familiarise yourself with key marketing analytics concepts and how they apply to the toy industry. Prepare examples of how you've used data to influence marketing strategies or improve campaign effectiveness in previous roles.
✨Collaborate Like a Pro
Since the role involves working closely with product managers and marketing partners, think of examples that showcase your teamwork skills. Be ready to discuss how you’ve successfully collaborated on projects and how you handle differing opinions within a team.
✨Show Your Enthusiasm for Learning
The company values professional development, so express your eagerness to learn and grow. Mention any recent courses or certifications you've completed, especially those related to data science or marketing analytics, to demonstrate your commitment to continuous improvement.