Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead exciting marketing data science projects and influence strategy with your insights.
- Company: Join a fast-scaling retail powerhouse in Leicester, thriving in a data-driven eCommerce landscape.
- Benefits: Enjoy a competitive package, flexible working, and a range of exciting perks.
- Why this job: Make a real impact in a high-growth environment while mentoring fellow data scientists.
- Qualifications: Strong data science experience, leadership skills, and expertise in marketing analytics required.
- Other info: Embrace a hybrid working model and thrive in a forward-thinking culture.
The predicted salary is between 48000 - 72000 £ per year.
Requirements
- Strong applied data science experience with leadership exposure
- Expertise in marketing analytics and experimental design
- Proficiency in Python and SQL (R/PySpark desirable)
- Solid grounding in ML, statistics and econometrics
- Experience within retail, eCommerce or digital sectors preferred
Responsibilities
- Lead end-to-end marketing data science projects
- Build MMM, attribution and customer lifecycle models
- Design and run experiments and causal analysis
- Partner with senior stakeholders to influence strategy
- Mentor data scientists and uphold best practice
We are a highly recognized and fast-scaling retail powerhouse located in Leicester, UK, offering a hybrid working environment. Our company operates within a data-driven eCommerce landscape where analytics play a crucial role in shaping commercial performance. This opportunity comes with a competitive package, flexible working arrangements, and a variety of exciting benefits within a high-growth, forward-thinking environment.
Lead Data Scientist, Marketing Science in Leicester employer: iO Associates
Contact Detail:
iO Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist, Marketing Science in Leicester
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. Building connections can give us the inside scoop on job openings and company culture.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those related to marketing analytics. This will help us demonstrate our expertise in Python, SQL, and ML during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms. Focus on articulating your experience in leading projects and mentoring others, as these are key for the Lead Data Scientist role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Lead Data Scientist, Marketing Science in Leicester
Some tips for your application 🫡
Show Off Your Data Science Skills: Make sure to highlight your applied data science experience, especially any leadership roles you've had. We want to see how you've tackled marketing analytics and experimental design in your previous work.
Get Technical: Don’t forget to mention your proficiency in Python and SQL! If you’ve dabbled in R or PySpark, throw that in too. We love seeing candidates who are comfortable with the tools of the trade.
Tailor Your Application: When applying, make sure to align your experience with our needs in retail, eCommerce, or digital sectors. We’re looking for someone who understands the landscape and can hit the ground running.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to get your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at iO Associates
✨Know Your Data Science Stuff
Make sure you brush up on your applied data science skills, especially in marketing analytics and experimental design. Be ready to discuss specific projects where you've led data science initiatives, as this will show your leadership exposure.
✨Show Off Your Technical Skills
Since proficiency in Python and SQL is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and be familiar with R or PySpark if you can.
✨Understand the Business Context
Familiarise yourself with the retail and eCommerce landscape. Think about how data science can influence marketing strategies and be prepared to discuss how you've partnered with stakeholders in the past to drive results.
✨Be Ready to Mentor
As a lead, you'll need to mentor other data scientists. Think of examples where you've shared best practices or helped others grow in their roles. This will highlight your leadership qualities and commitment to team development.