Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead teams to create advanced machine learning models and data science solutions.
- Company: Established eCommerce organisation in Leicester with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of data science while impacting customer-focused projects.
- Qualifications: 4+ years experience in data science, strong Python and SQL skills.
- Other info: Collaborative environment with the chance to influence senior stakeholders.
The predicted salary is between 36000 - 60000 £ per year.
A well-established eCommerce organization based in Leicester seeks a Lead Data Scientist. In this hands-on leadership role, you will guide teams to deliver advanced machine learning models and data science solutions.
The ideal candidate has:
- Over 4 years of experience
- Strong programming skills in Python and SQL
- Excellent communication abilities
This hybrid position offers the opportunity to influence senior stakeholders and shape the data science roadmap while working on customer-focused projects.
Lead Data Scientist: ML Leader & Strategy (Hybrid) in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist: ML Leader & Strategy (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to people in the eCommerce and data science fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss your past projects. We recommend practising common data science interview questions to boost your confidence.
✨Tip Number 3
Showcase your leadership skills! Be prepared to talk about how you've guided teams in the past and how you can influence senior stakeholders. We want to see your vision for shaping the data science roadmap.
✨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 candidates who are proactive and take the initiative to connect with us directly.
We think you need these skills to ace Lead Data Scientist: ML Leader & Strategy (Hybrid) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and SQL. We want to see how your experience aligns with the role, so don’t hold back on showcasing your technical prowess!
Communicate Clearly: Since excellent communication is key for this position, ensure your application reflects your ability to convey complex ideas simply. We’re looking for clarity and confidence in your writing.
Tailor Your Application: Don’t just send a generic application! We want to see how you can influence senior stakeholders and shape the data science roadmap. Tailor your application to show us why you’re the perfect fit for this 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 Harnham
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages, as well as any advanced machine learning models you've implemented. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Showcase Your Leadership Skills
Since this is a leadership role, prepare examples of how you've guided teams in the past. Think about challenges you've faced and how you motivated your team to overcome them. Highlighting your ability to influence and inspire others will resonate well with the interviewers.
✨Communicate Clearly and Confidently
Excellent communication is key for this position. Practice explaining complex data science concepts in simple terms, as you'll need to convey your ideas to senior stakeholders. Consider doing mock interviews with friends or colleagues to refine your delivery.
✨Align with Their Vision
Research the company's current data science initiatives and be prepared to discuss how you can contribute to their roadmap. Showing that you understand their goals and have ideas on how to enhance customer-focused projects will demonstrate your genuine interest in the role.
