Pricing Optimisation Data Scientist
Pricing Optimisation Data Scientist
£600-700 per day
Inside IR35
3 months
The Role
As a Pricing Optimisation Data Scientist, you will work closely with product, commercial, and engineering teams to design, build, and deploy pricing models. You will analyse large datasets, run experiments, and deliver actionable insights that directly impact business performance.
Key Responsibilities
- Develop and maintain pricing optimisation models using Python and SQL
- Analyse customer behaviour, demand elasticity, and price sensitivity
- Design and evaluate A/B tests and pricing experiments
- Build data pipelines and analytical datasets to support pricing decisions
- Translate complex analytical results into clear insights for stakeholders
- Collaborate with product managers and engineers to implement pricing changes
- Monitor pricing performance and continuously improve models
Required Skills & Experience
- Strong experience as a Data Scientist or Pricing Analyst in a commercial or tech environment
- Advanced SQL skills for querying and transforming large datasets
- Strong Python experience (e.g. pandas, numpy, scikit-learn, statsmodels)
- Solid understanding of pricing theory, optimisation, and experimentation
- Experience working with large-scale data in a fast-paced environment
- Ability to communicate insights clearly to non-technical stakeholders
- Proven experience working in a contract or project-based role (preferred)
Nice to Have
- Experience with dynamic pricing, revenue management, or marketplace pricing
- Familiarity with cloud data platforms (e.g. BigQuery, Snowflake, Redshift)
- Experience working in a high-growth tech or digital product company
For more information please click the apply link on this page