Product Data Scientist Location: Remote - UK Type of role- 6 Months contract with potential extension Payrate - 435 Per Day - 590 Per Day Inside IR35 We're looking for experienced Senior Data Scientists to join a leading global streaming and technology platform, supporting their product, design, and engineering teams. What You'll Work On Designing and analysing A/B experiments across high-visibility product surfaces Creating success metrics and shaping data-driven measurement strategies Deep analytical work using SQL (BigQuery) + Python/R Building dashboards in Tableau / Looker Studio Delivering clear, actionable insights to senior stakeholders Supporting either the User Platform (login, account systems, identity management). What We're Looking For 5+ years as a product-focused Data Scientist Strong background in A/B testing and experimentation High proficiency in SQL (BigQuery preferred) Skilled in Python or R Excellent communication and stakeholder management Experience working in fast-paced consumer tech or streaming environments is a strong plus This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. Co. uk Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Dec 03, 2025
Contractor
Product Data Scientist Location: Remote - UK Type of role- 6 Months contract with potential extension Payrate - 435 Per Day - 590 Per Day Inside IR35 We're looking for experienced Senior Data Scientists to join a leading global streaming and technology platform, supporting their product, design, and engineering teams. What You'll Work On Designing and analysing A/B experiments across high-visibility product surfaces Creating success metrics and shaping data-driven measurement strategies Deep analytical work using SQL (BigQuery) + Python/R Building dashboards in Tableau / Looker Studio Delivering clear, actionable insights to senior stakeholders Supporting either the User Platform (login, account systems, identity management). What We're Looking For 5+ years as a product-focused Data Scientist Strong background in A/B testing and experimentation High proficiency in SQL (BigQuery preferred) Skilled in Python or R Excellent communication and stakeholder management Experience working in fast-paced consumer tech or streaming environments is a strong plus This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. Co. uk Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Senior Product Data Scientist - Up to £85k + Benefits London (Hybrid) A major consumer marketplace is hiring a Senior Product Data Scientist to lead analytics and experimentation across a high-impact product area. You'll work closely with Product, Engineering and ML teams, owning technical discovery, shaping strategy, and driving experimentation at scale. What you'll do Lead analytics for a core product vertical Own technical discovery and experimentation frameworks Design, run and deeply analyse A/B tests (3-5 per quarter) Mentor other analysts (no line management) Influence product & business strategy end-to-end Enable scalable, self-serve analytics What you'll bring Strong SQL (daily use) Python experience (nice to have) BI tools (Looker/PowerBI/Tableau) Experience with Optimizely or similar testing platforms Excellent communication + stakeholder influence Hands-on, highly technical, commercially minded Why apply? Up to £85k base 1 day a week in a modern London office Outstanding benefits Perfect for someone who wants technical depth, strategic influence and high ownership-without people management. Find out more and apply via the link below.
Dec 01, 2025
Full time
Senior Product Data Scientist - Up to £85k + Benefits London (Hybrid) A major consumer marketplace is hiring a Senior Product Data Scientist to lead analytics and experimentation across a high-impact product area. You'll work closely with Product, Engineering and ML teams, owning technical discovery, shaping strategy, and driving experimentation at scale. What you'll do Lead analytics for a core product vertical Own technical discovery and experimentation frameworks Design, run and deeply analyse A/B tests (3-5 per quarter) Mentor other analysts (no line management) Influence product & business strategy end-to-end Enable scalable, self-serve analytics What you'll bring Strong SQL (daily use) Python experience (nice to have) BI tools (Looker/PowerBI/Tableau) Experience with Optimizely or similar testing platforms Excellent communication + stakeholder influence Hands-on, highly technical, commercially minded Why apply? Up to £85k base 1 day a week in a modern London office Outstanding benefits Perfect for someone who wants technical depth, strategic influence and high ownership-without people management. Find out more and apply via the link below.
Head of Data & Analytics London (Hybrid, 3 days in office) £80,000-£90,000 + Bonus + Benefits Zachary Daniels are delighted to be partnering with a leading international business to recruit a Head of Data & Analytics. This is a pivotal leadership role with ownership of data strategy, architecture, and delivery across a modern Azure-based platform. As Head of Data & Analytics, you'll shape and execute the enterprise data strategy, from building scalable pipelines and data lakes, to unlocking predictive analytics, AI, and machine learning for commercial advantage. You'll lead a talented team and ensure data becomes a true driver of growth, efficiency, and customer experience across the group. Benefits You'll Enjoy: Competitive salary up to £90,000 (DOE) + bonus High visibility, reporting into senior leadership with international scope Hybrid working model 3 days in London office Broad remit covering data, AI, and advanced analytics Career-defining opportunity to embed a data-driven culture Role Responsibilities: Define and deliver the enterprise data and analytics strategy aligned to business goals. Build, lead, and scale a high-performing data function including engineers, BI developers, and analysts. Own the architecture and optimisation of Azure Synapse, Databricks, and Power BI. Drive integration of ERP, CRM, IoT, and external datasets into a single source of truth. Deliver predictive modelling, AI, and machine learning to create measurable business value. Champion intuitive self-service analytics for business users. Implement best practice governance, ensuring compliance with GDPR, ISO 27001, and NIS2. Keep ahead of emerging technologies and foster a culture of experimentation and innovation. About You: 8+ years in data leadership roles, with proven success building and scaling modern data teams. Expert in Azure Synapse, Databricks, and Power BI, with strong SQL, Python, Spark, and data modelling skills. Deep knowledge of cloud-native data architecture, data lakes, and streaming pipelines. Strong grasp of predictive analytics, AI, and machine learning applications. Excellent stakeholder management and ability to align data initiatives with business growth. Inspirational leader who can champion a data-driven culture across a complex organisation. Apply today with your most up-to-date CV! BBBH34503
Sep 24, 2025
Full time
Head of Data & Analytics London (Hybrid, 3 days in office) £80,000-£90,000 + Bonus + Benefits Zachary Daniels are delighted to be partnering with a leading international business to recruit a Head of Data & Analytics. This is a pivotal leadership role with ownership of data strategy, architecture, and delivery across a modern Azure-based platform. As Head of Data & Analytics, you'll shape and execute the enterprise data strategy, from building scalable pipelines and data lakes, to unlocking predictive analytics, AI, and machine learning for commercial advantage. You'll lead a talented team and ensure data becomes a true driver of growth, efficiency, and customer experience across the group. Benefits You'll Enjoy: Competitive salary up to £90,000 (DOE) + bonus High visibility, reporting into senior leadership with international scope Hybrid working model 3 days in London office Broad remit covering data, AI, and advanced analytics Career-defining opportunity to embed a data-driven culture Role Responsibilities: Define and deliver the enterprise data and analytics strategy aligned to business goals. Build, lead, and scale a high-performing data function including engineers, BI developers, and analysts. Own the architecture and optimisation of Azure Synapse, Databricks, and Power BI. Drive integration of ERP, CRM, IoT, and external datasets into a single source of truth. Deliver predictive modelling, AI, and machine learning to create measurable business value. Champion intuitive self-service analytics for business users. Implement best practice governance, ensuring compliance with GDPR, ISO 27001, and NIS2. Keep ahead of emerging technologies and foster a culture of experimentation and innovation. About You: 8+ years in data leadership roles, with proven success building and scaling modern data teams. Expert in Azure Synapse, Databricks, and Power BI, with strong SQL, Python, Spark, and data modelling skills. Deep knowledge of cloud-native data architecture, data lakes, and streaming pipelines. Strong grasp of predictive analytics, AI, and machine learning applications. Excellent stakeholder management and ability to align data initiatives with business growth. Inspirational leader who can champion a data-driven culture across a complex organisation. Apply today with your most up-to-date CV! BBBH34503
A rare chance to take on a global ML leadership role in a high growth SaaS analytics company in London, where machine learning is central to product and strategy. The Opportunity This is a chance to lead the development of sophisticated machine learning systems that deliver Real Time, mission critical insights for clients around the world. You'll tackle some of the most complex challenges in Real Time analytics and forecasting, driving innovation and delivering real world impact across global markets. This isn't just any ML leadership role. You'll work with vast, complex datasets and deploy models with stringent latency requirements. You'll be empowered to build an architecture that blends innovation with operational excellence, leveraging everything from tree based models and advanced neural networks all accelerated by the latest GPU and cloud technologies. You'll head up a high calibre, multidisciplinary team dedicated to advancing machine learning capabilities, turning complex data into actionable insights that empower decision making at the highest level. The Company This is a modern, globally recognised SaaS company operating at the forefront of data analytics. With a strong focus on innovation, they deliver high value insights to clients making fast, high stakes decisions in complex markets. The business has built a deeply technical, forward thinking engineering culture where machine learning isn't just a function, it's a core capability. Actively leading the way in applied ML development, they invest heavily in modern tools, infrastructure, and talent to stay ahead of the curve. Why this role? * Own the full machine learning life cycle from research to Real Time production at scale. * Solve complex challenges involving ultra low latency, distributed inference, and continuous model optimisation. * Work with state of the art tooling and platforms in an organisation that invests heavily in innovation. * Lead a team passionate about experimentation, rigor, and rapid iteration in a collaborative environment. * Have a seat at the table with senior stakeholders and global clients, influencing the direction of the business and technology. Who you are: * A seasoned machine learning professional with experience leading teams and delivering production ML systems in demanding environments. * Expert in diverse modelling techniques, including tree based models, advanced neural networks and hybrid models. * Skilled in optimisng ML for Real Time serving think quantization, pruning, and distillation. * Proficient with modern MLOps practices and tooling, handling everything from model governance to scalable deployment pipelines. * Comfortable working hands on with Python, GPU acceleration, and distributed computing frameworks. * A confident communicator and collaborator, able to bridge technical innovation with business impact. The offer: You'll receive a highly competitive salary plus bonus opportunity and a comprehensive benefits package including private healthcare, enhanced pension, generous annual leave, and wellbeing support. The role offers flexible hybrid working, with just two days per week onsite in a modern East End office. It's a unique opportunity to lead machine learning within one of the most advanced SaaS analytics platforms operating today where you will play a critical role in shaping word class machine learning capabilities. If this sounds interesting, please apply or reach out to Murray Simpson.
Sep 22, 2025
Full time
A rare chance to take on a global ML leadership role in a high growth SaaS analytics company in London, where machine learning is central to product and strategy. The Opportunity This is a chance to lead the development of sophisticated machine learning systems that deliver Real Time, mission critical insights for clients around the world. You'll tackle some of the most complex challenges in Real Time analytics and forecasting, driving innovation and delivering real world impact across global markets. This isn't just any ML leadership role. You'll work with vast, complex datasets and deploy models with stringent latency requirements. You'll be empowered to build an architecture that blends innovation with operational excellence, leveraging everything from tree based models and advanced neural networks all accelerated by the latest GPU and cloud technologies. You'll head up a high calibre, multidisciplinary team dedicated to advancing machine learning capabilities, turning complex data into actionable insights that empower decision making at the highest level. The Company This is a modern, globally recognised SaaS company operating at the forefront of data analytics. With a strong focus on innovation, they deliver high value insights to clients making fast, high stakes decisions in complex markets. The business has built a deeply technical, forward thinking engineering culture where machine learning isn't just a function, it's a core capability. Actively leading the way in applied ML development, they invest heavily in modern tools, infrastructure, and talent to stay ahead of the curve. Why this role? * Own the full machine learning life cycle from research to Real Time production at scale. * Solve complex challenges involving ultra low latency, distributed inference, and continuous model optimisation. * Work with state of the art tooling and platforms in an organisation that invests heavily in innovation. * Lead a team passionate about experimentation, rigor, and rapid iteration in a collaborative environment. * Have a seat at the table with senior stakeholders and global clients, influencing the direction of the business and technology. Who you are: * A seasoned machine learning professional with experience leading teams and delivering production ML systems in demanding environments. * Expert in diverse modelling techniques, including tree based models, advanced neural networks and hybrid models. * Skilled in optimisng ML for Real Time serving think quantization, pruning, and distillation. * Proficient with modern MLOps practices and tooling, handling everything from model governance to scalable deployment pipelines. * Comfortable working hands on with Python, GPU acceleration, and distributed computing frameworks. * A confident communicator and collaborator, able to bridge technical innovation with business impact. The offer: You'll receive a highly competitive salary plus bonus opportunity and a comprehensive benefits package including private healthcare, enhanced pension, generous annual leave, and wellbeing support. The role offers flexible hybrid working, with just two days per week onsite in a modern East End office. It's a unique opportunity to lead machine learning within one of the most advanced SaaS analytics platforms operating today where you will play a critical role in shaping word class machine learning capabilities. If this sounds interesting, please apply or reach out to Murray Simpson.
A rare chance to take on a global ML leadership role in a high growth SaaS analytics company in Edinburgh, where machine learning is central to product and strategy. The Opportunity This is a chance to lead the development of sophisticated machine learning systems that deliver Real Time, mission critical insights for clients around the world. You'll tackle some of the most complex challenges in Real Time analytics and forecasting, driving innovation and delivering real world impact across global markets. This isn't just any ML leadership role. You'll work with vast, complex datasets and deploy models with stringent latency requirements. You'll be empowered to build an architecture that blends innovation with operational excellence, leveraging everything from tree based models and advanced neural networks all accelerated by the latest GPU and cloud technologies. You'll head up a high calibre, multidisciplinary team dedicated to advancing machine learning capabilities, turning complex data into actionable insights that empower decision making at the highest level. The Company This is a modern, globally recognised SaaS company operating at the forefront of data analytics. With a strong focus on innovation, they deliver high value insights to clients making fast, high stakes decisions in complex markets. The business has built a deeply technical, forward thinking engineering culture where machine learning isn't just a function, it's a core capability. Actively leading the way in applied ML development, they invest heavily in modern tools, infrastructure, and talent to stay ahead of the curve. Why this role? * Own the full machine learning life cycle from research to Real Time production at scale. * Solve complex challenges involving ultra low latency, distributed inference, and continuous model optimisation. * Work with state of the art tooling and platforms in an organisation that invests heavily in innovation. * Lead a team passionate about experimentation, rigor, and rapid iteration in a collaborative environment. * Have a seat at the table with senior stakeholders and global clients, influencing the direction of the business and technology. Who you are: * A seasoned machine learning professional with experience leading teams and delivering production ML systems in demanding environments. * Expert in diverse modelling techniques, including tree based models, advanced neural networks and hybrid models. * Skilled in optimisng ML for Real Time serving think quantization, pruning, and distillation. * Proficient with modern MLOps practices and tooling, handling everything from model governance to scalable deployment pipelines. * Comfortable working hands on with Python, GPU acceleration, and distributed computing frameworks. * A confident communicator and collaborator, able to bridge technical innovation with business impact. The offer: You'll receive a highly competitive salary plus bonus opportunity and a comprehensive benefits package including private healthcare, enhanced pension, generous annual leave, and wellbeing support. The role offers flexible hybrid working, with just two days per week onsite in a modern Edinburgh city centre office. It's a unique opportunity to lead machine learning within one of the most advanced SaaS analytics platforms operating today where you will play a critical role in shaping word class machine learning capabilities. If this sounds interesting, please apply or reach out to Murray Simpson.
Sep 22, 2025
Full time
A rare chance to take on a global ML leadership role in a high growth SaaS analytics company in Edinburgh, where machine learning is central to product and strategy. The Opportunity This is a chance to lead the development of sophisticated machine learning systems that deliver Real Time, mission critical insights for clients around the world. You'll tackle some of the most complex challenges in Real Time analytics and forecasting, driving innovation and delivering real world impact across global markets. This isn't just any ML leadership role. You'll work with vast, complex datasets and deploy models with stringent latency requirements. You'll be empowered to build an architecture that blends innovation with operational excellence, leveraging everything from tree based models and advanced neural networks all accelerated by the latest GPU and cloud technologies. You'll head up a high calibre, multidisciplinary team dedicated to advancing machine learning capabilities, turning complex data into actionable insights that empower decision making at the highest level. The Company This is a modern, globally recognised SaaS company operating at the forefront of data analytics. With a strong focus on innovation, they deliver high value insights to clients making fast, high stakes decisions in complex markets. The business has built a deeply technical, forward thinking engineering culture where machine learning isn't just a function, it's a core capability. Actively leading the way in applied ML development, they invest heavily in modern tools, infrastructure, and talent to stay ahead of the curve. Why this role? * Own the full machine learning life cycle from research to Real Time production at scale. * Solve complex challenges involving ultra low latency, distributed inference, and continuous model optimisation. * Work with state of the art tooling and platforms in an organisation that invests heavily in innovation. * Lead a team passionate about experimentation, rigor, and rapid iteration in a collaborative environment. * Have a seat at the table with senior stakeholders and global clients, influencing the direction of the business and technology. Who you are: * A seasoned machine learning professional with experience leading teams and delivering production ML systems in demanding environments. * Expert in diverse modelling techniques, including tree based models, advanced neural networks and hybrid models. * Skilled in optimisng ML for Real Time serving think quantization, pruning, and distillation. * Proficient with modern MLOps practices and tooling, handling everything from model governance to scalable deployment pipelines. * Comfortable working hands on with Python, GPU acceleration, and distributed computing frameworks. * A confident communicator and collaborator, able to bridge technical innovation with business impact. The offer: You'll receive a highly competitive salary plus bonus opportunity and a comprehensive benefits package including private healthcare, enhanced pension, generous annual leave, and wellbeing support. The role offers flexible hybrid working, with just two days per week onsite in a modern Edinburgh city centre office. It's a unique opportunity to lead machine learning within one of the most advanced SaaS analytics platforms operating today where you will play a critical role in shaping word class machine learning capabilities. If this sounds interesting, please apply or reach out to Murray Simpson.
