Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data science projects and create advanced ML solutions for personalisation.
- Company: A leading retail powerhouse in Leicester with a focus on innovation.
- Benefits: Competitive salary, flexible hybrid working, and opportunities for professional growth.
- Why this job: Make a real impact in eCommerce by optimising profitability through data science.
- Qualifications: Strong background in data science, Python, SQL, and experience with PyTorch or TensorFlow.
- Other info: Join a dynamic team and shape the future of retail technology.
The predicted salary is between 43200 - 72000 £ per year.
A leading retail powerhouse in Leicester is seeking a Machine Learning Lead to design and deploy advanced ML solutions focused on personalisation and profitability optimisation.
Responsibilities include:
- Leading data science projects
- Building predictive models
- Presenting insights to stakeholders
Applicants should have a strong background in data science, excellent Python and SQL skills, and experience with PyTorch or TensorFlow. The role offers a competitive salary and flexible hybrid working arrangements.
Lead Data Scientist - Personalisation for eCommerce (Hybrid) 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 - Personalisation for eCommerce (Hybrid) in Leicester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals 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 personalisation and ML models. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss your experience with PyTorch or TensorFlow, and think about how you can apply these tools to solve real-world problems in eCommerce.
✨Tip Number 4
Don’t just apply anywhere; focus on companies that align with your values and interests. Check out our website for tailored job listings that match your skills and aspirations, making your job search more efficient!
We think you need these skills to ace Lead Data Scientist - Personalisation for eCommerce (Hybrid) in Leicester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong background in data science, especially your Python and SQL skills. We want to see how you’ve used these tools in past projects, so don’t hold back!
Tailor Your Application: When applying, customise your CV and cover letter to reflect the specific requirements of the Lead Data Scientist role. Mention your experience with PyTorch or TensorFlow and how it relates to personalisation in eCommerce.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your insights and experiences are easy to understand and relevant to the role.
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’re considered for this exciting opportunity!
How to prepare for a job interview at INOVERSE GROUPE
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially those related to personalisation and profitability optimisation. Be ready to discuss your experience with predictive models and how you've applied them in past projects.
✨Show Off Your Coding Skills
Since the role requires strong Python and SQL skills, practice coding challenges beforehand. You might be asked to solve a problem on the spot, so being comfortable with these languages will give you a leg up.
✨Prepare for Stakeholder Engagement
You'll need to present insights to stakeholders, so think about how you can communicate complex data findings in a clear and engaging way. Prepare examples of how you've done this in previous roles.
✨Familiarise Yourself with Frameworks
If you have experience with PyTorch or TensorFlow, be prepared to discuss specific projects where you used these frameworks. If you're less familiar, take some time to learn the basics and understand their applications in eCommerce.
