Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead projects, manage a team, and deliver impactful analytics using Python.
- Company: Join an award-winning consultancy transforming data strategies across various industries.
- Benefits: Enjoy remote-first work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real difference with your skills while working in a dynamic, supportive environment.
- Qualifications: Strong Python/ML skills and experience in client-facing roles are essential.
- Other info: This role does not offer visa sponsorship; apply if you're ready to make an impact!
The predicted salary is between 54000 - 126000 £ per year.
Lead Data Scientist – East Midlands
(Marketing Science)
We are working with a leading ecommerce company who are looking to add a Lead Data Scientist to their marketing team, leading a team of 3.
You\’d be leading end-to-end data science projects and working closely with teams to drive measurable impact through models such as Marketing Mix Modeling, attribution, lifetime value prediction, and churn analysis.
They\’re looking for someone with:
Strong hands-on experience in Python, SQL, R, and PySpark
Proven ability in marketing analytics and causal inference
Great communication skills to turn complex insights into business action
The position is hybrid, based in East Midlands
Lead Data Scientist employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist
✨Tip Number 1
Familiarise yourself with the specific analytical tools mentioned in the job description, such as scikit-learn and TensorFlow. Being able to discuss your experience with these tools in detail during an interview will demonstrate your technical expertise and readiness for the role.
✨Tip Number 2
Prepare examples of past projects where you successfully delivered machine learning solutions that provided tangible business value. This will help you illustrate your ability to manage projects end-to-end and showcase your impact on previous clients.
✨Tip Number 3
Since this role involves client interaction, practice articulating complex data findings in a clear and compelling manner. You might want to simulate presenting your analysis to a non-technical audience to refine your communication skills.
✨Tip Number 4
Research the company’s recent projects and clients in sectors like Energy and Healthcare. Being knowledgeable about their work will not only help you tailor your responses but also show your genuine interest in contributing to their mission.
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning solutions and Python. Emphasise any relevant projects you've led or contributed to, especially those that demonstrate your ability to deliver business value.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your consulting experience. Mention specific tools and methods you’ve used, and how they relate to the responsibilities outlined in the job description.
Showcase Your Analytical Skills: In your application, provide examples of how you've used analytical tools to deliver insights. If possible, include metrics or outcomes that illustrate the impact of your work on previous projects.
Prepare for Interviews: If selected for an interview, be ready to discuss your technical skills in-depth, particularly your experience with Python and machine learning frameworks. Prepare to present case studies or examples of your work that align with the company's focus areas.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
As a Lead Data Scientist, you'll need to demonstrate your expertise in Python and machine learning. Be prepared to discuss specific projects where you've successfully implemented ML solutions, and highlight the tools you used, such as scikit-learn or TensorFlow.
✨Prepare for Client Interaction Scenarios
Since the role involves working with clients and stakeholders, think of examples where you've effectively communicated complex data insights. Practice explaining your analytical findings in a way that is accessible to non-technical audiences.
✨Discuss Project Management Experience
You'll be responsible for managing multiple projects and teams. Be ready to talk about your experience in leading projects from start to finish, including how you handle challenges and ensure timely delivery.
✨Understand the Company's Impact
Research the consultancy's work across various sectors like Energy and Healthcare. Be prepared to discuss how your skills can contribute to their mission of delivering impactful data solutions, and think of ideas you could bring to the table.
