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Lead Data Scientist

erg group

Glasgow

Hybrid

GBP 85,000

Full time

7 days ago
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Job summary

A fast-scaling company, recently secured £20M in funding, is seeking a Data Science Team Leader. This permanent, full-time role offers the opportunity to lead a dynamic team developing impactful ML and AI solutions. With a focus on performance and real-world impact, you'll engage in hands-on work, championing approaches that shape how data science is utilized in the organization.

Benefits

Hybrid working model with two days a week in the office
Flexible hours around core team collaboration

Qualifications

  • Proven ability to lead or mentor in a data science setting.
  • Track record of delivering models into production environments.
  • Excellent written and verbal communication skills.

Responsibilities

  • Lead and mentor a team of data scientists working on applied ML projects.
  • Take ownership of projects from data acquisition to deployment.
  • Ensure all outputs meet technical and regulatory standards.

Skills

Python
Machine learning
Communication

Education

Degree in a relevant technical field or equivalent hands-on experience

Tools

MLflow
GitHub
Jira

Job description

This range is provided by erg group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$85,000.00/yr - $85,000.00/yr

Direct message the job poster from erg group

erg group : Head of AI | Women in AI | Shaping the Next Era of Intelligent Solutions | Ex-Professional Basketball Player

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.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Industries
    Technology, Information and Media

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