Data Scientist - Ecommerce, Marketing & Commercial Operations

This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets.

This is a cross-functional business role designed to support data-driven decision making across the entire organisation - including Finance, Merchandising, Creative, Licensing, Sales, Supply Chain, eCommerce, and Operations. The role will additionally support marketplace, eCommerce, and consumer insight initiatives to help drive commercial decision-making across retail and digital channels.

The successful candidate will be responsible for transforming complex business data into actionable insights, building reporting frameworks, identifying trends and opportunities, and supporting leadership teams with strategic analysis and forecasting. The role will also play a key part in driving the company's adoption of AI technologies, automation, and modern analytics tools.

Key Responsibilities:

• Analyse large and complex datasets across multiple platforms to identify trends, risks, opportunities, and operational improvements
• Develop and maintain dashboards, KPIs, and reporting suites using Power BI
• Support the Finance team with forecasting, budgeting, margin analysis, profitability reporting, and commercial insights
• Partner with Merchandising, Sales, Licensing, Creative, Supply Chain and Operations teams to provide analytical support and performance reporting
• Build predictive models and analytical tools to support strategic decision-making and business planning
• Drive the adoption of AI and automation solutions across the business to improve efficiency and insight generation
• Work with ERP and operational systems, including D365 Business Central, to extract, validate, and analyse data
• Improve data quality, governance, consistency, and reporting accuracy across departments to ensure one version of the truth
• Develop and maintain data pipelines and automated reporting processes where appropriate
• Present findings and recommendations clearly to senior leadership and operational stakeholders
• Support ongoing digital transformation initiatives across the business
• Ensure analytical work follows best practices around governance, security, and ethical AI usage
• Monitor and analyse eCommerce and marketplace KPIs including conversion rate, click-through rate (CTR), ACOS, TACOS, Buy Box performance, average selling price (ASP), keyword rankings, and inventory health metrics.
• Support eCommerce and marketplace advertising analysis, including Amazon Sponsored Ads performance, ROAS optimisation, campaign analysis, and budget efficiency reporting.
• Support data-driven optimisation of eCommerce product listings, keywords, digital content, and marketplace visibility to improve discoverability, conversion, and sales performance.
• Conduct competitor, pricing, and market analysis to identify trends, opportunities, and risks across eCommerce and retail channels.
• Apply predictive analytics and trend analysis to support demand forecasting, inventory planning, and commercial decision-making.
• Support testing and experimentation across pricing, advertising, promotions, and digital content strategies, using analytical insight to measure performance and recommend improvements.
• Work closely with merchandising, eCommerce, licensing, and marketing teams to provide commercially focused analytics and actionable insight.