Lead Applied AI Data Scientist - AI for Cyber Intelligence

Friend MTS; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Annual leave 25 days

Enhanced Pension

Life Assurance

BUPA

Employee Assistance

Parental leave

Learning & development

Flexible Benefits

Full tech setup

Weekly breakfasts

Mentorship opportunities

Career progression

Job summary

Friend MTS is seeking a Lead Applied AI Data Scientist to drive production AI solutions and provide technical leadership. You will work directly with customers to understand complex challenges and mentor other data scientists, shaping the technical direction of our AI initiatives.

The role focuses on building scalable AI systems, collaborating with product and engineering teams, and evaluating new AI technologies to advance our offerings for broadcasters, sports organizations and streaming

Qualifications

• Experience in building production AI systems and leading technical initiatives.
• Mentor applied AI data scientists and collaborate with engineering and product teams.
• Directly work with customers to understand complex operational challenges.

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.

Skills

Technical leadership

Mentoring

Customer engagement

Problem solving

Tools

Python

SQL

AWS

PyTorch

Scikit-learn

XGBoost

Docker

Kubernetes

Claude Code

GitHub Copilot

LLMs

AI Agents

Job description

Friend MTS is seeking a Lead Applied AI Data Scientist to drive production AI solutions and provide technical leadership. You will work directly with customers to understand complex challenges and mentor other data scientists, shaping the technical direction of our AI initiatives.

The role focuses on building scalable AI systems, collaborating with product and engineering teams, and evaluating new AI technologies to advance our offerings for broadcasters, sports organizations and streaming