Senior Data Scientist

Senior Data Scientist

Department: Technology

Reports to: Head of Data, Analytics & AI

Location: Bedfordshire (1 day per week in office)

Base Salary: £75,000 – £85,000 plus bonus and other benefits

Contract: Permanent, Full-Time

Stanton House is partnering with a private equity-backed business currently undergoing a significant transformation programme looking to appoint a senior data scientist to lead the development of advanced analytical and machine learning solutions within a growing data function.

Role Overview

This is a highly business-facing role, working closely with stakeholders across the organisation to identify opportunities where data science can improve decision-making, optimise processes, and deliver measurable commercial value.

The successful candidate will take ownership of the end-to-end modelling lifecycle, from problem definition and experimentation through to validation, deployment support, and ongoing performance assessment. They will act as a trusted adviser to the business, translating complex analytical outputs into actionable recommendations and ensuring models are robust, defensible, and aligned with business objectives.

Responsibilities

• Partner with senior stakeholders to identify and prioritise opportunities for advanced analytics and machine learning.
• Translate business challenges into analytical and modelling problems.
• Design, build, test and validate machine learning and statistical models across a range of use cases including forecasting, optimisation, classification, segmentation and recommendation.
• Apply appropriate validation techniques, benchmark performance, and communicate model limitations and uncertainty.
• Design and analyse experiments, pilots, and A/B tests to support evidence-based decision making.
• Provide analytical insight and decision support on strategic and commercial initiatives.
• Collaborate with data engineering, analytics and product teams to ensure solutions are scalable and production-ready.
• Establish and maintain best practices for model development, validation, governance and documentation.
• Monitor model performance and support the investigation of issues in production environments.
• Promote responsible AI practices, including bias testing, transparency and compliance with governance requirements.
• Contribute to the growth of the data function through mentoring, knowledge sharing and participation in hiring activities where required.

Skills Needed

Essential

• Proven experience delivering data science solutions into production environments that have generated measurable business impact.
• Strong expertise in statistics, machine learning, model selection and validation methodologies.
• Experience developing predictive, forecasting, optimisation, classification or recommendation models.
• Advanced Python and SQL skills.
• Experience working with version-controlled codebases and collaborative development practices.
• Ability to communicate complex analytical concepts to non-technical and senior stakeholders.
• Experience designing and interpreting experiments and controlled trials.
• Strong commercial awareness and ability to assess the value and feasibility of analytical opportunities.
• Ability to operate independently within a developing or growing data capability.
• Experience working within cross-functional, product-led teams.

Desirable

• Experience within large-scale consumer, retail, hospitality, logistics or operationally complex environments.
• Knowledge of causal inference, uplift modelling and experimentation techniques.
• Experience with demand forecasting, resource optimisation, pricing or inventory-related analytics.
• Familiarity with modern cloud data platforms, orchestration tools and BI technologies.
• Understanding of operational, transactional and customer behavioural data.
• Experience establishing data science standards or mentoring other practitioners.

If interested, please send an up-to-date CV for consideration. Due to the expected volume of applications, only shortlisted candidates will be contacted.