Director Data Scientist

This is a leadership role responsible for driving AI strategy, leading high-performing data science teams, developing executive relationships, and growing a market-leading AI consulting practice.

You will work closely with C-suite executives to identify high-value AI opportunities, shape enterprise AI roadmaps, and oversee the delivery of complex machine learning and Generative AI programmes that deliver measurable business outcomes.

Key Responsibilities

AI & Data Science Leadership

• Lead multidisciplinary teams of Data Scientists, ML Engineers, Data Engineers and AI Architects.
• Design and oversee enterprise-scale machine learning and Generative AI solutions from ideation through production.
• Ensure adoption of best practices across:
• Machine Learning
• Deep Learning
• LLMs
• Retrieval-Augmented Generation (RAG)
• AI Agents
• Prompt Engineering
• MLOps
• Responsible AI
• Model Governance
• Guide architecture decisions across cloud AI platforms and modern AI ecosystems.

Industry Expertise

Develop AI solutions within either:

Telecommunications

• Customer Value Management
• Churn Prediction
• Next Best Action
• Network Analytics
• Customer Experience
• Personalisation
• Revenue Optimisation

OR

Financial Services

• Fraud Detection
• Credit Risk
• Customer Analytics
• Wealth Management
• Insurance Analytics
• AML
• Personalisation
• Intelligent Operations

Practice Development

• Mentor and develop senior data scientists and technical leaders.
• Define AI delivery methodologies and reusable accelerators.
• Establish technical standards across AI and GenAI engagements.
• Recruit and grow world-class AI talent.

• Master’s or PhD in Computer Science, Statistics, Mathematics, Engineering or related quantitative discipline.
• 12-15+ years of experience in Data Science, Machine Learning or Artificial Intelligence.
• Minimum 5 years leading enterprise AI consulting engagements.
• Proven experience delivering AI programmes for large Telecommunications or Financial Services organisations.
• Demonstrated experience managing large consulting teams and complex client engagements.
• Experience presenting to executive leadership and Boards.
• Strong commercial mindset with experience supporting business development and revenue growth.