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For Companies At a Glance
- Tasks: Lead a team to develop impactful ML and AI solutions.
- Company: Join a fast-scaling company transforming lives with innovative software.
- Benefits: Enjoy a competitive salary, hybrid work, and flexible hours.
- Why this job: Make a real-world impact while tackling exciting technical challenges.
- Qualifications: Strong Python skills and experience in leading data science projects required.
- Other info: Opportunity to shape applied AI in a rapidly growing environment.
The predicted salary is between 51000 - 85000 £ per year.
About the Company
I’m working with a fast-scaling company that recently secured £20M in Series A funding and is already preparing for Series B. They’re building software that genuinely changes lives. With expansion underway, especially into the US, it’s a brilliant time to join. The team is sharp, diverse, and growing quickly, with plenty of momentum behind what they’re building.
About the Role
This is a permanent, full-time Data Science Team Leader position. You’ll head a team developing production-grade ML and AI solutions, focusing on performance, rigour, and real-world impact. The role is hands-on and strategically important. You’ll own end-to-end delivery, collaborate with technical and scientific teams, and help define how data science is applied across the business. This is meaningful AI work, with clear technical challenges and purpose.
Responsibilities
- Lead and mentor a team of data scientists working on applied ML projects
- Take ownership of projects from data acquisition to deployment
- Develop robust, high-performance models for real-world datasets
- Ensure all outputs meet technical and regulatory standards
- Work closely with scientists, engineers, and domain experts
- Introduce new tools, methods, and approaches where relevant
- Communicate clearly with both technical and non-technical audiences
Qualifications
- Strong Python skills and practical machine learning experience
- Proven ability to lead or mentor in a data science setting
- Track record of delivering models into production environments
- Degree in a relevant technical field or equivalent hands-on experience
- Excellent written and verbal communication skills
- Bonus if you’ve worked with MLflow, GitHub, PyTest, Jira, or HPC systems
- Bonus if you have experience under a QMS or with safety-critical software
What’s in it for You?
- £85,000 depending on experience
- Hybrid working model with two days a week in the office
- Flexible hours around core team collaboration
- A leadership role with real-world impact and technical challenge
- The chance to shape applied AI in a company that’s scaling fast
If you’re interested in leading a high-performing team, solving hard problems, and applying data science where it truly matters, I’d love to hear from you. Send your CV and a short note to the Chief Scientific Officer at the email provided.
Lead Data Scientist employer: erg group
Contact Detail:
erg group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist
✨Tip Number 1
Make sure to showcase your leadership experience in data science. Highlight any previous roles where you mentored or led a team, as this is crucial for the Lead Data Scientist position.
✨Tip Number 2
Familiarise yourself with the latest tools and technologies mentioned in the job description, such as MLflow and GitHub. Being able to discuss these tools confidently during interviews will demonstrate your readiness for the role.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully delivered machine learning models into production. Be ready to explain the challenges you faced and how you overcame them, as this will show your practical experience.
✨Tip Number 4
Since communication is key in this role, practice explaining complex data science concepts in simple terms. This will help you connect with both technical and non-technical audiences during the interview process.
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 in leading data science teams and your practical machine learning skills. Emphasise any projects where you've taken ownership from data acquisition to deployment.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your ability to communicate complex ideas clearly. Mention specific tools and methodologies you’ve used, such as MLflow or GitHub, to demonstrate your technical expertise.
Showcase Leadership Experience: In your application, provide examples of how you've mentored or led teams in previous roles. Highlight any successful projects that involved collaboration with technical and non-technical stakeholders.
Highlight Relevant Qualifications: Ensure you mention your degree in a relevant technical field or equivalent hands-on experience. If you have experience with safety-critical software or under a Quality Management System (QMS), be sure to include that as well.
How to prepare for a job interview at erg group
✨Showcase Your Leadership Skills
As a Lead Data Scientist, you'll be expected to mentor and guide your team. Prepare examples of how you've successfully led projects or teams in the past, highlighting your ability to inspire and motivate others.
✨Demonstrate Technical Proficiency
Be ready to discuss your experience with Python and machine learning. Bring specific examples of models you've developed and deployed, and be prepared to explain the technical challenges you faced and how you overcame them.
✨Communicate Effectively
Since you'll need to interact with both technical and non-technical audiences, practice explaining complex concepts in simple terms. This will show your ability to bridge the gap between different teams and stakeholders.
✨Prepare for Real-World Scenarios
Expect questions about how you would handle real-world data science challenges. Think about scenarios where you've had to ensure compliance with technical and regulatory standards, and be ready to discuss your approach.
