Data Scientist

Data Scientist

London | Outside IR35

£400 per day

This is an exciting opportunity for a Data Scientist to join a growing SaaS business on a high-impact pricing optimisation project. You'll play a key role in developing advanced pricing models that help hospitality businesses make smarter commercial decisions, maximise revenue, and improve performance through data-driven insights. This initial 6-month contract offers the chance to work on a product that directly influences customer growth and commercial success.

The Company

They are a technology-driven SaaS organisation that helps businesses centralise and manage operational, product, pricing, and sales data within a single platform. Their solution enables customers to access real-time insights across multiple channels and touchpoints, supporting more effective decision-making. Backed by a well-established technology group, they continue to invest heavily in data science and product innovation. Their platform serves a broad customer base across the hospitality sector.

The Role and Deliverables

Develop and implement advanced pricing models and optimisation algorithms to maximise customer revenue.

Build predictive models to forecast customer behaviour, demand patterns, and price elasticity.

Partner with product, engineering, sales, and customer success teams to deliver pricing strategies that create measurable business value.

Work with engineering teams to deploy pricing algorithms into production systems.

Monitor model performance using real-world outcomes and continuously refine solutions to improve effectiveness.

Enable customers to conduct A/B testing and scenario modelling, providing clear recommendations based on data-driven insights.

Your Skills & Experience

Strong experience designing and implementing large-scale pricing optimisation solutions.

Advanced programming skills in Python and/or R.

Strong capabilities in data manipulation, statistical modelling, and analytical problem solving.

Experience applying machine learning frameworks and optimisation techniques to commercial challenges.

Strong understanding of pricing strategy, demand modelling, elasticity analysis, and time series forecasting.

Ability to communicate complex technical concepts and recommendations to non-technical stakeholders.

Experience working within SaaS and/or e-commerce environments.

Familiarity with AWS and cloud-based data science workflows.

Strong stakeholder management and customer-facing communication skills.

Demonstrated ability to improve model performance through continuous monitoring and optimisation.

How to Apply

If you're a Data Scientist with strong pricing optimisation experience and are looking to deliver meaningful impact on a business-critical project, apply today to find out more.