Lead Applied AI Data Scientist at Friend MTS | GB | Rezi

Lead Applied AI Data Scientist at Friend MTS

Lead Applied AI Data Scientist

Friend MTS · GB

2 weeks ago

Lead Applied AI Data Scientist

Friend MTS · GB

15 days ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now
Resume preview

Tailor your resume to this Lead Applied AI Data Scientist role.

Rezi rewrites your resume against Friend MTS's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Lead Applied AI Data Scientist posting at Friend MTS — free, in seconds.

About the Role

As Lead Applied AI Data Scientist, you will combine hands-on AI development with technical leadership. You will work directly with customers to understand complex operational challenges before turning those ideas into production AI solutions. You will mentor other data scientists, influence technical direction, and help shape the future of AI across Friend MTS. This is a technical leadership role, not a management role.

Responsibilities

  • Design and build production AI systems
  • Lead complex technical initiatives
  • Mentor Applied AI Data Scientists
  • Work directly with customers
  • Collaborate with Product and Engineering
  • Evaluate emerging AI technologies
  • Help define technical standards and best practices
  • Influence the future direction of AI within Friend MTS
  • Detect organised piracy at global scale
  • Understand behavioural patterns across complex datasets
  • Automate investigations using AI agents and LLMs
  • Identify relationships hidden within billions of events
  • Support analysts with AI-assisted decision making
  • Create products used by broadcasters, sports organisations and streaming platforms worldwide

Requirements

  • Building production AI systems
  • Python
  • Machine Learning
  • Cloud platforms such as AWS
  • Software engineering
  • Technical leadership
  • Working directly with customers

Skills

  • Python
  • Machine Learning
  • AWS
  • Software engineering
  • Technical leadership
  • LLMs
  • AI Agents
  • Graph analytics
  • Behavioural modelling
  • Cyber security
  • Network intelligence
  • PyTorch
  • XGBoost
  • SQL
  • Scikit-learn
  • Docker
  • Kubernetes
  • Claude Code
  • GitHub Copilot

Location

  • Manchester
  • London

Work Type

  • Hybrid

Experience Level

  • Lead

Benefits

  • 25 days of annual leave (Incl. Bank Holidays) + 1 day off for your birthday
  • Enhanced Pension - 5% employee and 5% employer contribution
  • Life Assurance - on the successful completion of your probation (4x your salary)
  • BUPA (on the successful completion of your probation)
  • Employee Assistance Programme
  • Enhanced Maternity, Paternity and Adoption Leave (after a qualifying period)
  • Various Learning and Development Platforms
  • A flexible Benefits and Wellbeing Platform
  • Full tech set up to ensure you have what you need to be successful in your role
  • Weekly breakfasts in the office
  • Mentorship: Direct access to senior data scientists and engineers in a supportive, high-growth environment.
  • Impact: The chance to work on technology that protects some of the most valuable media rights in the world.
  • Growth: A clear career progression path within a private-equity-backed, global tech company.

About the Company

  • AI is becoming one of the core capabilities of Friend MTS. This is an opportunity to help build that capability from the ground up.
  • You'll work on challenging technical problems, influence the direction of our products and help define how AI is applied across the business.
  • Your work will directly impact products used by many of the world's leading broadcasters, sports organisations and streaming platforms.
  • If you want to build practical AI that solves real-world problems—and help shape the future of an ambitious engineering organisation—we'd love to hear from you.

Equal Opportunity

  • Friend MTS is dedicated to nurturing and expanding a culture of belonging where everyone feels seen, heard, valued for who they are.
  • By embracing the diversity of our people (and future people!) we achieve our best work, together.
  • We ensure that at all stages of our hiring process, your education level, neurodivergence, background, race, religion, colour, sex, age, sexual orientation, national origin, or disability will not influence your chances for selection.
  • If you are interested in applying for a role at Friend MTS and need special assistance, please make us aware and we will support you in accommodating this.