Lead Product Data Scientist - AI & Optimization Leader

Stott and May; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Stott and May is seeking a Lead Product Data Scientist to drive AI, machine learning and optimisation initiatives in a hybrid West London setting. The role combines hands-on modelling with leadership of data science and engineering teams to deliver data-driven products that improve decision-making and measurable business value.

You will define technical strategy, shape product roadmaps, mentor analysts, and work closely with stakeholders, engineers and product teams to deploy production-grade

Qualifications

• Strong experience in machine learning, optimisation and applied data science.
• Advanced Python skills and experience delivering production-grade solutions.
• Background leading technical teams and stakeholder engagement.
• Knowledge of cloud platforms, data pipelines and modern software development practices.
• Experience within logistics, transport, aviation, retail, manufacturing or other operationally intensive industries is desirable.

Responsibilities

• Lead the development of ML, optimisation and decision-support products.
• Define technical strategy, product roadmaps and delivery plans.
• Manage and mentor data scientists and engineers.
• Translate business challenges into scalable analytical solutions.
• Drive product adoption, stakeholder engagement and value realisation.
• Ensure best practices across software engineering, deployment and support.

Skills

Machine learning

Optimization

Data science

Python

Team leadership

Stakeholder engagement

Cloud platforms

Data pipelines

Software development practices

Job description

Stott and May is seeking a Lead Product Data Scientist to drive AI, machine learning and optimisation initiatives in a hybrid West London setting. The role combines hands-on modelling with leadership of data science and engineering teams to deliver data-driven products that improve decision-making and measurable business value.

You will define technical strategy, shape product roadmaps, mentor analysts, and work closely with stakeholders, engineers and product teams to deploy production-grade