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.
Client Details
Leading international Manufacturing & Retail Company
Description
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.Profile
Essential:
Previous experience within a Data Scientist, Data Analyst, Business Intelligence, or Analytics role
Strong analytical and problem-solving skills with commercial awareness
Advanced Power BI capability, including dashboard creation, DAX, data modelling, and visualisation.
Strong experience using SQL for querying and manipulating datasets
Experience using AI tools, large language models (LLMs), and automation technologies to support analytics, reporting, and business insight generation.
Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central (BC) 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 a consumer products, retail, licensing, apparel, manufacturing, or distribution environment
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 qualified 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.
Job Offer
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