Data Scientist

About RS Group

RS is a high-service global product and service solutions provider for industrial customers, enabling them to operate efficiently and sustainably. We operate in 33 markets, stock over 875,000 industrial and specialist products and list an additional five million relevant for our industrial customers, sourced from over 2,500 suppliers. This extensive range supports our customers across the industrial lifecycle of designing, building and maintaining equipment and operations. We enhance their experience through a tailored service model, leveraging our efficient physical, digital and process infrastructure sustainably. We combine a technically led and digitally enabled approach with an exceptional team of experts; ultimately, it’s our people that make the difference. Our purpose, making amazing happen for a better world, reflects our focus on delivering results for people, planet and profit.

About the role

Role Purpose: The Data Scientist plays a critical role in driving profitable growth by identifying, analyzing, and delivering data-driven insights that optimize margin performance across the organization. This role leverages advanced analytics, statistical modeling, and machine learning techniques to uncover pricing, cost, and product mix opportunities within an industrial and electronics distribution environment.

Responsibilities

• Working closely with pricing, sales, procurement, and finance teams, the Data Scientist translates complex data into actionable recommendations that support strategic decision-making
• Analyze margin/growth performance across customers, products, suppliers, and channels to identify improvement opportunities
• Detect margin leakage drivers such as discounting, pricing inconsistencies and cost fluctuations
• Analyze win/loss data, deal-level performance, and competitive pricing trends
• Develop predictive models for demand, price elasticity, and customer behavior
• Apply machine learning techniques to identify cross-sell, upsell, and mix optimization opportunities
• Aggregate and transform large datasets Sales, Customer, Product, Competitor
• Provide clear, actionable insights through storytelling (narrative building)
• Enable self-service analytics for business stakeholders
• Track and measure realized impact of implemented initiatives
• Support RS through gaining deep understanding of various areas of the business, bringing fresh ideas and ways of thinking to change strategy and policy
• Maintain documentation for models, data pipelines, and methodologies
• Ensure compliance with data governance and internal policies
• Promote best practices in analytics and data science across the organization

How I make a difference in this role: You bridge the gap between analytics and business execution by translating complex models into clear, actionable recommendations that sales, pricing, and procurement teams can use in real decisions (e.g., deal pricing, contract negotiations).

Skills

Essential Skills & Experience:

• Python
• Advanced SQL
• Advanced statistics and machine learning knowledge
• Advanced data engineering and feature building