Average Data Scientist salary in Leicester

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 DetailsLeading international Manufacturing & Retail CompanyDescriptionThis 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 improvementsDevelop and maintain dashboards, KPIs, and reporting suites using Power BISupport the Finance team with forecasting, budgeting, margin analysis, profitability reporting, and commercial insightsPartner with Merchandising, Sales, Licensing, Creative, Supply Chain and Operations teams to provide analytical support and performance reportingBuild predictive models and analytical tools to support strategic decision-making and business planningDrive the adoption of AI and automation solutions across the business to improve efficiency and insight generationWork with ERP and operational systems, including D365 Business Central, to extract, validate, and analyse dataImprove data quality, governance, consistency, and reporting accuracy across departments to ensure one version of the truthDevelop and maintain data pipelines and automated reporting processes where appropriatePresent findings and recommendations clearly to senior leadership and operational stakeholdersSupport ongoing digital transformation initiatives across the businessEnsure analytical work follows best practices around governance, security, and ethical AI usageMonitor 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.ProfileEssential:Previous experience within a Data Scientist, Data Analyst, Business Intelligence, or Analytics roleStrong analytical and problem-solving skills with commercial awarenessAdvanced Power BI capability, including dashboard creation, DAX, data modelling, and visualisation.Strong experience using SQL for querying and manipulating datasetsExperience 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 SysproUnderstanding of AI, machine learning, automation tools, and modern analytics techniquesAbility to interpret complex datasets and communicate findings clearly to non-technical stakeholdersExcellent communication and stakeholder management skillsHighly organised with the ability to manage multiple priorities in a fast-paced environmentExperience 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 environmentExperience with forecasting, demand planning, or supply chain analyticsExperience developing AI-enabled business solutions or workflow automationUnderstanding of financial reporting and commercial finance conceptsDegree qualified in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative disciplineExperience 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

Senior Data Scientist - Leicester 1 day a week We are currently supporting a large insurance company on a Senior Data Science role to sit within their pricing team. This role will challenge core pricing functions and create innovative ways to produce new pricing models using larger and more complex data sources to deliver more competitive pricing and better customer accessibility. It's a small, fast-paced team (6 people) working on more experimental and forward-thinking pricing approaches.Some of the exciting work includes:Alternative pricing modelsFootprint modelling / Geospatial modellingResidual modelling to identify gaps between predicted vs. actual claim costsWorking with large, messy insurance datasets across multiple product linesTools & tech: Python, SQL, AzureML, XGBoostOpportunity to mentor within the team

Role and ResponsibilitiesBiomedical scientists investigate biological processes and diseases affecting humans and animals.They design and conduct experiments, analyze data, and interpret findings to develop new treatments, therapies, and medical devices. Their work spans areas such as genetics, microbiology, immunology, biochemistry, and molecular biology, often using techniques like microscopy, DNA sequencing, and protein analysis. They may also participate in clinical trials to ensure the safety and efficacy of drugs and medical devices, collaborating with healthcare professionals to advance diagnostics and treatments. Bonus if you worked in NHS