• Data Scientist

Job summary

Employer: BSS
Position: Data Scientist
Salary: £Competitive + Excellent Benefits
Location: Lutterworth, Leicestershire
Work arrangement: on-site
Employment type: full-time
Closing date: 04.09.2026
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Job description

BSS and TF Solutions, part of Travis Perkins plc, are now hiring for an exceptional Data Scientist to join our Commercial team and play a pivotal role in transforming our pricing intelligence and business performance.

You'll be a trusted technical partner to Commercial, Sales and Branch teams, converting complex datasets into intuitive tools, clear visualisations and actionable strategies that directly protect and grow our margins. 

If you are a commercially minded, data driven professional who excels at hands-on coding, statistical modelling and leveraging cutting-edge AI tools like Gemini to solve commercial challenges, we'd love to hear from you!

The Opportunity

As our Data Scientist, reporting directly to the Head of Pricing (BSS & TF Solutions), you will support the core pricing function by using data science, statistical modelling and reporting to sharpen commercial decision-making.

Working in a key individual contributor role, you will analyse large complex transaction datasets, build robust pricing guidance models and create user friendly dashboards for non-technical commercial stakeholders. You will also champion modern analytical practices, utilising coding tools to accelerate testing, automation and iterative development within robust data governance standards.

What You'll Be Doing

  • Pricing Analytics & Modelling: Developing, maintaining and enhancing predictive models that power price guidance, margin performance, supplier support analysis, and cost to price pass through metrics.

  • Price Guidance & Quantile Analysis: Analysing transaction data, customer behaviour  and product tiers to refine quantile based pricing structures and optimise price execution.

  • Statistical & Regression Analysis: Applying statistical methods and regression techniques to model commercial relationships, uncover margin trends and evaluate pricing strategies.

  • Dashboard & Visualisation Development: Building clear, interactive and automated analytical outputs for commercial stakeholders using tools such as Looker Studio, Google Sheets, Power BI, or Tableau.

  • AI-Assisted Coding & Automation: Leveraging AI tools (preferably Gemini) to streamline coding workflows, automate testing, maintain documentation and speed up analytical iterations.

  • Commercial Insights & Recommendations: Translating complex mathematical and statistical findings into practical, commercially grounded advice for Branch, Sales and Finance teams.

  • Data Quality & Governance: Validating, reconciling and auditing pricing data across core systems to safeguard data integrity and ensure highly dependable commercial decisions.

  • Supplier Support & Rebate Analysis: Analysing cost changes, rebate structures, and vendor support data to drive superior gross margin outcomes.

About You

You'll be a curious, careful, and collaborative analytical practitioner who balances statistical rigour with fast paced commercial delivery.

Essential

  • Degree level qualification in Data, Mathematics, Statistics, Computer Science, Economics, Operational Research, Engineering, or a similar quantitative discipline.

  • Strong SQL proficiency and practical Python coding capabilities.

  • Proven capability in using AI tools (Gemini preferred) to speed up code development, debugging and testing.

  • Demonstrated experience in regression analysis, quantile analysis and managing complex structured datasets.

  • Exceptional written and verbal communication skills, with an ability to translate technical concepts for non-technical teams.

  • Advanced spreadsheet capability alongside an understanding of data quality, validation and governance standards.

  • Self starter mindset with the ability to manage tasks independently, work through ambiguity and comfortably challenge assumptions when the data does not support them.

We'd Particularly Like to See

  • Master's degree or equivalent postgraduate qualification in a quantitative discipline.

  • Prior experience within a pricing, finance, commercial, merchanting, retail, or B2B distribution environment.

  • Hands-on experience developing dashboards in Looker Studio, Power BI, or Tableau, alongside experience with GCP, BigQuery, or automated data pipelines.

  • Knowledge of machine learning techniques, clustering algorithms, LFL metrics and rebate/margin bridge analysis.

Why Join Us?

This is a highly visible technical role with direct impact across BSS and TF Solutions. You'll have the opportunity to:

  • Shape and modernise commercial decision making across two leading industry brands.

  • Partner directly with Commercial Directors, Pricing Heads and operational leadership.

  • See the direct financial result of your mathematical and analytical models on group performance.

  • Develop your career within BSS and the wider Travis Perkins Group network.

Ready to Make an Impact?

If you're an ambitious data scientist looking for a role that combines technical depth, commercial strategy and modern technology, we'd love to hear from you



Start your application

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