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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. \n Client Details \n Leading international Manufacturing & Retail Company \n Description \n 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. \n 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. \n 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. \n Key Responsibilities: \n\n • Analyse large and complex datasets across multiple platforms to identify trends, risks, opportunities, and operational improvements\n, • Develop and maintain dashboards, KPIs, and reporting suites using Power BI\n, • Support the Finance team with forecasting, budgeting, margin analysis, profitability reporting, and commercial insights\n, • Partner with Merchandising, Sales, Licensing, Creative, Supply Chain and Operations teams to provide analytical support and performance reporting\n, • Build predictive models and analytical tools to support strategic decision-making and business planning\n, • Drive the adoption of AI and automation solutions across the business to improve efficiency and insight generation\n, • Work with ERP and operational systems, including D365 Business Central, to extract, validate, and analyse data\n, • Improve data quality, governance, consistency, and reporting accuracy across departments to ensure one version of the truth\n, • Develop and maintain data pipelines and automated reporting processes where appropriate\n, • Present findings and recommendations clearly to senior leadership and operational stakeholders\n, • Support ongoing digital transformation initiatives across the business\n, • Ensure analytical work follows best practices around governance, security, and ethical AI usage\n, • 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.\n, • Support eCommerce and marketplace advertising analysis, including Amazon Sponsored Ads performance, ROAS optimisation, campaign analysis, and budget efficiency reporting.\n, • Support data-driven optimisation of eCommerce product listings, keywords, digital content, and marketplace visibility to improve discoverability, conversion, and sales performance.\n, • Conduct competitor, pricing, and market analysis to identify trends, opportunities, and risks across eCommerce and retail channels.\n, • Apply predictive analytics and trend analysis to support demand forecasting, inventory planning, and commercial decision-making.\n, • Support testing and experimentation across pricing, advertising, promotions, and digital content strategies, using analytical insight to measure performance and recommend improvements.\n, • Work closely with merchandising, eCommerce, licensing, and marketing teams to provide commercially focused analytics and actionable insight.\n\n Profile \n Essential: \n\n • Previous experience within a Data Scientist, Data Analyst, Business Intelligence, or Analytics role\n, • Strong analytical and problem-solving skills with commercial awareness\n, • Advanced Power BI capability, including dashboard creation, DAX, data modelling, and visualisation.\n, • Strong experience using SQL for querying and manipulating datasets\n, • Experience using AI tools, large language models (LLMs), and automation technologies to support analytics, reporting, and business insight generation.\n, • Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central (BC) and/or Syspro\n, • Understanding of AI, machine learning, automation tools, and modern analytics techniques\n, • Ability to interpret complex datasets and communicate findings clearly to non-technical stakeholders\n, • Excellent communication and stakeholder management skills\n, • Highly organised with the ability to manage multiple priorities in a fast-paced environment\n, • Experience working with eCommerce and marketplace analytics, preferably Amazon Seller Central and Amazon Advertising platforms.\n, • Understanding of eCommerce performance metrics including ROAS, ACOS, TACOS, conversion rate optimisation, keyword ranking, and digital traffic analysis.\n, • Experience translating commercial and marketplace data into actionable business insight.\n\n Desirable: \n\n • Experience within a consumer products, retail, licensing, apparel, manufacturing, or distribution environment\n, • Experience with forecasting, demand planning, or supply chain analytics\n, • Experience developing AI-enabled business solutions or workflow automation\n, • Understanding of financial reporting and commercial finance concepts\n, • Degree qualified in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative discipline\n, • Experience with Amazon marketplace optimisation tools such as Helium 10.\n, • Experience using social listening and consumer insight platforms such as Meltwater.\n, • Experience within licensed apparel, consumer products, retail, eCommerce, or marketplace-driven businesses.\n\n \n Job Offer \n \n

I'm currently partnering with a well-established, award-winning business operating within the professional services and digital information sector to recruit a talented Multimedia Video Content Lead! \n This is an exciting opportunity for a creative video professional who wants to take ownership of a growing video content function and play a key role in shaping how multiple market-leading brands engage with their audiences. \n Working as part of a high-performing digital growth team, you'll be responsible for creating compelling video content that supports marketing, sales, product education, customer engagement, and thought leadership initiatives across a portfolio of respected B2B brands. \n \n The Role \n This is a hands-on position where you'll lead video production from concept through to delivery, creating engaging content that drives brand awareness, customer engagement, and commercial growth. \n You'll work closely with marketing, product, sales, and customer-facing teams to bring complex subject matter to life through impactful visual storytelling. \n\n • Leading the creation, editing, and delivery of video content across multiple brands\n, • Developing creative concepts for marketing campaigns, product education, sales enablement, and customer engagement\n, • Producing internal content including training videos, product walkthroughs, and customer success stories\n, • Creating external content such as thought leadership videos, product explainers, launch videos, podcasts, testimonials, and social media content\n, • Managing and growing video content hubs and online channels\n, • Optimising video content for different platforms, audiences, and campaign objectives\n, • Monitoring performance metrics and using insights to improve content effectiveness\n, • Collaborating with stakeholders across the business to translate objectives into engaging video content\n, • Supporting content planning, scheduling, and creative direction\n, • Ensuring consistency with brand guidelines and messaging\n, • Keeping up to date with emerging video trends, formats, and production techniques\n\n \n YOU? \n\n • Proven experience in video production and editing, preferably within a B2B, professional services, or content-led environment\n, • Advanced skills in Adobe Premiere Pro\n, • Experience with After Effects and the wider Adobe Creative Suite\n, • Strong knowledge of video hosting and marketing platforms such as Wistia\n, • A solid understanding of video editing best practices and content optimisation\n, • Experience tailoring content for different audiences, channels, and business objectives\n, • Excellent organisational and project management skills\n, • Strong stakeholder management and communication abilities\n, • A proactive, adaptable approach with a willingness to explore new ideas and technologies\n, • Experience using AI-powered video tools and production software to improve efficiency and turnaround times\n\n \n This is an opportunity to join a highly respected and award-winning organisation that continues to invest heavily in its people, technology, and content capabilities. \n\n • Shape and influence the future video content strategy across multiple brands\n, • Work on a diverse range of projects spanning HR, compliance, accountancy, tax, health & safety, and business services sectors\n, • Join a collaborative and ambitious team environment\n, • Access ongoing training, development, and clear career progression opportunities\n, • Make a visible impact within a growing digital content function\n\n If you're passionate about video content, creative storytelling, and building engaging multimedia experiences that deliver measurable business results, I'd be keen to hear from you! \n \n \n 51716CC \n INDHIN \n The Portfolio Group are acting on behalf of our client in recruiting for this position.

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...

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