Lead Data Scientist (Retail/Consumer) - Onsite UK Clients

Do you want to build data science solutions that directly impact revenue and customer experience?

Would you enjoy solving pricing, supply chain, and layout optimisation challenges for household brands?

Are you excited by the idea of embedding onsite with enterprise clients to drive measurable results?

A leading UK consultancy is scaling its AI & Data Science capability to deliver high-impact solutions for major retailers and consumer brands. Their embedded consulting model means data scientists work closely with end users to co-design tools that directly affect business performance. The team has delivered pricing optimisation systems, cost modelling platforms, and store analytics tools for global retailers - blending commercial strategy with hands-on ML and engineering.

You’ll lead technical delivery of solutions that touch everything from supplier negotiations to customer experience design. Expect to work in cross-functional teams with direct access to client data, stakeholders, and decision-makers - owning projects from idea to value.

They’re hiring at Lead (3–5 years) and Principal (5–10+ years) levels.

Key Responsibilities

• Build and deploy ML tools for pricing, operations, and layout optimisation

• Translate commercial priorities into robust, data-driven solutions

• Partner with client stakeholders to iterate and embed ML in decision workflows

• Lead multi-disciplinary delivery teams to deliver measurable impact

Key Details

• Salary: £80,000 – £150,000

• Working model: On-site 3+ days/week with retail and consumer clients UK-wide

• Tech stack: Python, MLflow, Databricks, Docker, Azure, simulation frameworks

• Visa: This role cannot sponsor

If you’re interested, please apply below.