Overview
Leading international manufacturing & retail company seeks a commercially focused, technically capable Data Scientist to join the Finance team and support high‑growth expansion into new markets.
This cross‑functional role supports data‑driven decision making across Finance, Merchandising, Creative, Licensing, Sales, Supply Chain, eCommerce, and Operations. It also drives marketplace, eCommerce and consumer insight initiatives to optimise retail and digital channel performance.
Key Responsibilities
- Analyse large, 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 adoption of AI and automation solutions across the business to improve efficiency and insight generation.
- Work with ERP and operational systems (e.g., Microsoft Dynamics 365 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.
- Analyse eCommerce and marketplace advertising performance, Amazon Sponsored Ads, ROAS optimisation, campaign analysis and budget efficiency reporting.
- Optimise data‑driven 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.
Profile
Essential
- Previous experience in a Data Scientist, Data Analyst, Business Intelligence or Analytics role.
- Strong analytical and problem‑solving skills with commercial awareness.
- Advanced Power BI capability (dashboard creation, DAX, data modelling, visualisation).
- Strong experience using SQL for querying and manipulating datasets.
- Experience using AI tools, large language models (LLMs) and automation technologies to support analytics and business insight generation.
- Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central and/or Syspro.
- Understanding of AI, machine learning, automation tools and modern analytics techniques.
- Ability to interpret complex datasets and communicate findings clearly to non‑technical stakeholders.
- Excellent communication and stakeholder management skills.
- Highly organised with the ability to manage multiple priorities in a fast‑paced environment.
- Experience working with eCommerce and marketplace analytics, preferably Amazon Seller Central and Amazon Advertising platforms.
- Understanding of eCommerce performance metrics including ROAS, ACOS, TACOS, conversion rate optimisation, keyword ranking and digital traffic analysis.
- Experience translating commercial and marketplace data into actionable business insight.
Desirable
- Experience within consumer products, retail, licensing, apparel, manufacturing or distribution environments.
- Experience with forecasting, demand planning or supply chain analytics.
- Experience developing AI‑enabled business solutions or workflow automation.
- Understanding of financial reporting and commercial finance concepts.
- Degree qualification in Data Science, Computer Science, Mathematics, Statistics, Economics or a related quantitative discipline.
- Experience with Amazon marketplace optimisation tools such as Helium 10.
- Experience using social listening and consumer insight platforms such as Meltwater.
- Experience within licensed apparel, consumer products, retail, eCommerce or marketplace‑driven businesses.
