Data Scientist

About the role

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.

Responsibilities

• Develop, maintain, and enhance predictive models that power price guidance, margin performance, supplier support analysis, and cost-to-price pass-through metrics.
• Analyse transaction data, customer behaviour, and product tiers to refine quantile-based pricing structures and optimise price execution.
• Apply statistical methods and regression techniques to model commercial relationships, uncover margin trends, and evaluate pricing strategies.
• Build clear, interactive, and automated analytical outputs for commercial stakeholders using tools such as Looker Studio, Google Sheets, Power BI, or Tableau.
• Leverage AI tools (preferably Gemini) to streamline coding workflows, automate testing, maintain documentation, and speed up analytical iterations.
• Translate complex mathematical and statistical findings into practical, commercially grounded advice for Branch, Sales, and Finance teams.
• Validate, reconcile, and audit pricing data across core systems to safeguard data integrity and ensure highly dependable commercial decisions.
• Analyse cost changes, rebate structures, and vendor support data to drive superior gross margin outcomes.

Requirements

• 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.

Qualifications

• Master’s degree or equivalent postgraduate qualification in a quantitative discipline (preferred).
• Prior experience within a pricing, finance, commercial, merchanting, retail, or B2B distribution environment (preferred).
• Hands-on experience developing dashboards in Looker Studio, Power BI, or Tableau, alongside experience with GCP, BigQuery, or automated data pipelines (preferred).
• Knowledge of machine learning techniques, clustering algorithms, LFL metrics, and rebate/margin bridge analysis (preferred).

Benefits

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.