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- 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 England 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 England
✨Tip Number 1
Network like a pro! Reach out to current employees at the eCommerce organisation on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best machine learning projects. We want to see how you’ve tackled real-world problems using Python and SQL – it’s all about demonstrating your expertise.
✨Tip Number 3
Ace the interview! Brush up on your communication skills, as you'll need to explain complex data science concepts clearly. Practice common interview questions and be ready to discuss how you can influence senior stakeholders.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Lead Data Scientist: ML Leader & Strategy (Hybrid) in England
Some tips for your application 🫡
Showcase Your Experience: Make sure to highlight your relevant experience in data science and machine learning. We want to see how your background aligns with the role, so don’t hold back on those impressive projects you've worked on!
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon unless it’s necessary. We appreciate a well-structured application that gets straight to the point.
Demonstrate Leadership Skills: Since this is a leadership role, we’re keen to see examples of how you’ve led teams or projects in the past. Share specific instances where you influenced outcomes or guided others to success.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
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 developed. This will show that you’re not just familiar with the tech but can also apply it 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.
✨Understand the Company’s Vision
Research the eCommerce organisation thoroughly. Understand their products, target audience, and recent developments. Being able to align your experience with their goals will demonstrate your genuine interest in the role and how you can contribute to shaping their data science roadmap.
