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- Tasks: Lead the development of advanced machine learning solutions for eCommerce.
- Company: Join a fast-scaling retail powerhouse in a data-driven environment.
- Benefits: Competitive salary, flexible hybrid working, and exciting perks.
- Why this job: Make a real impact on global customer experiences with cutting-edge technology.
- Qualifications: Degree in a quantitative field and strong data science experience required.
- Other info: Dynamic role with excellent growth opportunities in a forward-thinking company.
The predicted salary is between 60000 - 90000 £ per year.
Up to £75,000 DOE
Leicester, UK (Hybrid)
iO Associates are aligned with one of the UK's most recognised and fast-scaling retail powerhouses, operating at significant scale within a highly data-driven eCommerce environment where analytics directly shapes commercial performance.
This role will lead the design and deployment of advanced machine learning solutions focused on personalisation, predictive modelling and profitability optimisation across a global customer base.
Responsibilities
- Lead end-to-end development of ML-driven data science solutions
- Build predictive models, segmentation and recommendation systems
- Analyse large, multi-source datasets to drive commercial insight
- Partner with cross-functional teams to scope, test and deploy models
- Present insights to senior stakeholders and influence business strategy
Requirements
- Degree in a quantitative discipline (BSc/MSc/PhD)
- Strong experience in data science with exposure to personalisation or recommender systems
- Proven leadership across full project lifecycle
- Advanced experience with PyTorch or TensorFlow
- Strong Python, SQL and distributed data processing (e.g. PySpark) skills
- Confident communicator with strong commercial acumen
This opportunity offers a competitive package, flexible hybrid working and a range of exciting benefits within a high-growth, forward-thinking environment.
If you're open to exploring your next move, reach out ASAP to find out more or send your CV for a confidential discussion.
Lead Data Scientist - eCommerce in Leicester employer: INOVERSE GROUPE
Contact Detail:
INOVERSE GROUPE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - eCommerce in Leicester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning and personalisation. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and practising common data science questions. Be ready to discuss your past projects and how they relate to the role you're applying for.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who are eager to join our team.
We think you need these skills to ace Lead Data Scientist - eCommerce in Leicester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Lead Data Scientist role. Highlight your experience in data science, especially with personalisation and recommender systems, to catch our eye!
Showcase Your Projects: Include specific examples of projects where you've led the development of ML-driven solutions. We love seeing how you've tackled challenges and delivered results, so don’t hold back on the details!
Communicate Clearly: As a confident communicator, your application should reflect that! Use clear language to explain your technical skills and how they relate to the business impact. We want to see how you can influence strategy with your insights.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the quickest way for us to see your application and get the ball rolling on your potential future with us!
How to prepare for a job interview at INOVERSE GROUPE
✨Know Your Data Science Stuff
Make sure you brush up on your data science knowledge, especially around machine learning and personalisation. Be ready to discuss your experience with tools like PyTorch or TensorFlow, and have examples of predictive models you've built at the ready.
✨Showcase Your Leadership Skills
Since this role involves leading projects, be prepared to talk about your leadership experiences. Share specific examples where you've guided a team through the full project lifecycle, highlighting how you influenced outcomes and drove success.
✨Understand the Business Impact
This position is all about using data to drive commercial performance. Familiarise yourself with how analytics can shape business strategy. Be ready to discuss how your insights have previously influenced decision-making in a commercial context.
✨Communicate Clearly and Confidently
As a confident communicator, you'll need to present complex data insights to senior stakeholders. Practice explaining your work in simple terms, focusing on the value it brings to the business. This will show that you can bridge the gap between technical and non-technical audiences.
