Price Optimisation Data Scientist

Job TitlePredictive Price Modelling DS

Logistics

• Contract length: 6 months

• Day rate: £500-£550 (Outside IR35)

• Location: Hybrid-2 days/week in London office

Client ContextWork with top-tier retailers and e-commerce brands that demand scientifically rigorous pricing strategies. Your models will directly inform multi-million-pound margin and revenue decisions.

Role OverviewAs a Price Modelling Specialist, you'll lead the design, development and deployment of predictive pricing and elasticity models. You'll translate data into dynamic pricing rules that maximise revenue, test their impact in-market, and package insights for commercial leaders.

Key Responsibilities

• Develop and maintain price-elasticity, demand-forecasting and revenue-optimisation models in Python

• Design, execute and analyse A/B tests and quasi-experimental frameworks to validate pricing strategies

• Build automated pipelines to refresh price recommendations in near real-time

• Integrate model outputs into BI dashboards and reporting workflows

• Present clear, actionable pricing insights to commercial and executive stakeholders

Must-Haves

• Master's in Statistics, Econometrics, Data Science or related quantitative field

• Expert in Python (pandas, scikit-learn) and advanced SQL for large-scale data manipulation

• Proven track record running A/B tests or causal analyses on pricing levers

• Excellent communication-able to explain complex models to non-technical audiences

• Full UK work authorisation

Desirable

• Familiarity with production ML workflows (version control, CI/CD)

• Background in retail or e-commerce pricing platforms

Technical Toolbox

• Modelling & data: Python, SQL

• Experimentation: A/B testing frameworks

• Containerisation: Docker

• BI & warehousing: Snowflake (or equivalent), Tableau/Power BI

• Cloud: AWS, GCP or Azure