51 to 75 of 145 Predictive Analytics Jobs in England

company that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Lead Data Scientist to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying … the intersection of technology, investment, and strategy. Key Responsibilities Translate complex business problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to … not just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g. More ❯

company that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Lead Data Scientist to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying … the intersection of technology, investment, and strategy. Key Responsibilities Translate complex business problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to … not just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g. More ❯

company that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Lead Data Scientist to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying … the intersection of technology, investment, and strategy. Key Responsibilities Translate complex business problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to … not just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g. More ❯

We’re looking for a qualified accountant with a passion for data, technology, and storytelling — someone who can bridge finance insight with modern analytics capability. This is a hands-on project role working with the Commercial Finance team to design and deliver AI-driven dashboards that bring business performance to life. You’ll help define the right data sources … qualified ACA/ACCA/CIMA) Proven experience in dashboard development (Power BI, Tableau, or similar) Understanding of data architecture and integration from multiple systems A curiosity for AI, predictive analytics, and automation tools The confidence to challenge, shape and bring ideas to life in a commercial context You’ll likely have seen this type of solution working More ❯

or data certifications (such as AI-900, AI-102, or DP-100). - Building AI-powered visualizations and dashboards using Power BI. - Understanding data modelling, semantic layer design, and predictive analytics integration. - Proficient in DAX and Power Query for advanced analytics and reporting. Home based (must be commutable to London) Flexible (can be £55k - £85k for a More ❯

team leadership, mentoring junior scientists, and shaping client solutions at scale. 🔎 The Role Lead and mentor a small team of junior Data Scientists & Analysts. Deliver advanced machine learning and predictive analytics projects end-to-end. Engage with clients to define problems and build data-driven strategies. Ensure best practices in reproducibility, coding standards, and scalable pipelines. Translate complex More ❯

team leadership, mentoring junior scientists, and shaping client solutions at scale. 🔎 The Role Lead and mentor a small team of junior Data Scientists & Analysts. Deliver advanced machine learning and predictive analytics projects end-to-end. Engage with clients to define problems and build data-driven strategies. Ensure best practices in reproducibility, coding standards, and scalable pipelines. Translate complex More ❯

team leadership, mentoring junior scientists, and shaping client solutions at scale. 🔎 The Role Lead and mentor a small team of junior Data Scientists & Analysts. Deliver advanced machine learning and predictive analytics projects end-to-end. Engage with clients to define problems and build data-driven strategies. Ensure best practices in reproducibility, coding standards, and scalable pipelines. Translate complex More ❯

team leadership, mentoring junior scientists, and shaping client solutions at scale. 🔎 The Role Lead and mentor a small team of junior Data Scientists & Analysts. Deliver advanced machine learning and predictive analytics projects end-to-end. Engage with clients to define problems and build data-driven strategies. Ensure best practices in reproducibility, coding standards, and scalable pipelines. Translate complex More ❯

team leadership, mentoring junior scientists, and shaping client solutions at scale. 🔎 The Role Lead and mentor a small team of junior Data Scientists & Analysts. Deliver advanced machine learning and predictive analytics projects end-to-end. Engage with clients to define problems and build data-driven strategies. Ensure best practices in reproducibility, coding standards, and scalable pipelines. Translate complex More ❯

be doing: Developing and optimising SQL Server solutions to support real-time data feeds from machines, sensors, and production lines Managing and enhancing time series data pipelines to power predictive analytics and performance monitoring Working on push notifications, protocols, and query optimisation to keep data fast, clean, and actionable Driving the migration to Microsoft Fabric, with a focus … on KQL (Azure Data Explorer/Fabric Real-Time Analytics) Collaborating with cross-functional teams in an Agile environment to deliver scalable, high-value solutions Supporting reporting and analytics - Power BI now, Microsoft Fabric in the future What we’re looking for: 5+ years of SQL Server development experience (T-SQL, stored procedures, optimisation) Strong background in real … teams delivering incremental improvements Nice to have: Exposure to industrial IoT protocols (MQTT, OPC UA) or edge computing Knowledge of Azure services (Event Hubs, IoT Hub, Synapse) Experience with predictive maintenance or manufacturing KPIs Why join this project? Be at the forefront of a Smart Manufacturing and Industry 4.0 transformation Work in a hybrid pattern - typically 3 days per More ❯

be doing: Developing and optimising SQL Server solutions to support real-time data feeds from machines, sensors, and production lines Managing and enhancing time series data pipelines to power predictive analytics and performance monitoring Working on push notifications, protocols, and query optimisation to keep data fast, clean, and actionable Driving the migration to Microsoft Fabric, with a focus … on KQL (Azure Data Explorer/Fabric Real-Time Analytics) Collaborating with cross-functional teams in an Agile environment to deliver scalable, high-value solutions Supporting reporting and analytics - Power BI now, Microsoft Fabric in the future What we're looking for: 5+ years of SQL Server development experience (T-SQL, stored procedures, optimisation) Strong background in real … teams delivering incremental improvements Nice to have: Exposure to industrial IoT protocols (MQTT, OPC UA) or edge computing Knowledge of Azure services (Event Hubs, IoT Hub, Synapse) Experience with predictive maintenance or manufacturing KPIs Why join this project? Be at the forefront of a Smart Manufacturing and Industry 4.0 transformation Work in a hybrid pattern - typically 3 days per More ❯

be doing: Developing and optimising SQL Server solutions to support real-time data feeds from machines, sensors, and production lines Managing and enhancing time series data pipelines to power predictive analytics and performance monitoring Working on push notifications, protocols, and query optimisation to keep data fast, clean, and actionable Driving the migration to Microsoft Fabric, with a focus … on KQL (Azure Data Explorer/Fabric Real-Time Analytics) Collaborating with cross-functional teams in an Agile environment to deliver scalable, high-value solutions Supporting reporting and analytics - Power BI now, Microsoft Fabric in the future What we’re looking for: 5+ years of SQL Server development experience (T-SQL, stored procedures, optimisation) Strong background in real … teams delivering incremental improvements Nice to have: Exposure to industrial IoT protocols (MQTT, OPC UA) or edge computing Knowledge of Azure services (Event Hubs, IoT Hub, Synapse) Experience with predictive maintenance or manufacturing KPIs Why join this project? Be at the forefront of a Smart Manufacturing and Industry 4.0 transformation Work in a hybrid pattern - typically 3 days per More ❯

AND RESPONSIBILITIES Data Extraction & Management Extract, transform, and analyse data from clinical systems, commissioning datasets, and internal service databases. Ensure data integrity, accuracy, and compliance with information governance standards. Analytics & Insight Provide meaningful analysis to support service delivery, contract performance monitoring, and business planning. Identify trends, risks, and opportunities within population health, service utilisation, and workforce data. Translate complex … regulations. Desirable Experience of supporting business case development or bid writing through data analysis. Knowledge of population health management approaches. Familiarity with demand and capacity modelling, service evaluation, or predictive analytics. Skills and Abilities Essential Advanced skills in Microsoft Excel (pivot tables, lookups, formulas, macros desirable). Strong analytical and problem-solving skills with experience in handling large and … prioritise, manage multiple projects, and meet tight deadlines. Desirable Experience with BI tools (e.g., Power BI, Tableau, Qlik). Understanding of population health management and healthcare commissioning. Experience in predictive modelling, demand and capacity planning, or statistical analysis. Proficiency in BI tools (e.g., Power BI, Tableau, Qlik). Experience with SQL, R, or Python for data analysis. Ability to More ❯

information tools) and develop business intelligence reports that can be reused • Explore existing and new data using a range of statistical tools and techniques, such as machine learning and predictive analytics • Lead teams summarising and presenting data and conclusions in the most appropriate format for users • Design, develop and construct data products and services, and integrate them into … systems and business processes. • Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems catalogue, monitor and identify data assets that are essential to the organisation's operations or services • Assign ownership of data, ensuring there is a clear RACI (responsible, accountable, consulted and informed) matrix in the organisation • Incorporate governance of data into More ❯

and release of mobile apps, ensuring performance, UX quality, and seamless integration with the e-commerce ecosystem. AI & Advanced Technology: Drive AI initiatives, including product recommendation engines, computer vision, predictive analytics, and other ML-driven applications. Project & Delivery Management: Ensure projects are delivered on time, within budget, and to high-quality standards. Implement agile methodologies and best practices … in Magento 2, APIs, modern web and mobile frameworks (React, PHP) and cloud infrastructure (GCP) Hands-on experience with AI/ML initiatives, including model deployment, data pipelines, and analytics integration. Demonstrated ability to architect scalable, secure, and performant systems. Strong understanding of software development life cycles, agile methodologies, and CI/CD pipelines. Excellent leadership, team-building, and More ❯

and release of mobile apps, ensuring performance, UX quality, and seamless integration with the e-commerce ecosystem. AI & Advanced Technology: Drive AI initiatives, including product recommendation engines, computer vision, predictive analytics, and other ML-driven applications. Project & Delivery Management: Ensure projects are delivered on time, within budget, and to high-quality standards. Implement agile methodologies and best practices … in Magento 2, APIs, modern web and mobile frameworks (React, PHP) and cloud infrastructure (GCP) Hands-on experience with AI/ML initiatives, including model deployment, data pipelines, and analytics integration. Demonstrated ability to architect scalable, secure, and performant systems. Strong understanding of software development life cycles, agile methodologies, and CI/CD pipelines. Excellent leadership, team-building, and More ❯

and release of mobile apps, ensuring performance, UX quality, and seamless integration with the e-commerce ecosystem. AI & Advanced Technology: Drive AI initiatives, including product recommendation engines, computer vision, predictive analytics, and other ML-driven applications. Project & Delivery Management: Ensure projects are delivered on time, within budget, and to high-quality standards. Implement agile methodologies and best practices … in Magento 2, APIs, modern web and mobile frameworks (React, PHP) and cloud infrastructure (GCP) Hands-on experience with AI/ML initiatives, including model deployment, data pipelines, and analytics integration. Demonstrated ability to architect scalable, secure, and performant systems. Strong understanding of software development life cycles, agile methodologies, and CI/CD pipelines. Excellent leadership, team-building, and More ❯

and release of mobile apps, ensuring performance, UX quality, and seamless integration with the e-commerce ecosystem. AI & Advanced Technology: Drive AI initiatives, including product recommendation engines, computer vision, predictive analytics, and other ML-driven applications. Project & Delivery Management: Ensure projects are delivered on time, within budget, and to high-quality standards. Implement agile methodologies and best practices … in Magento 2, APIs, modern web and mobile frameworks (React, PHP) and cloud infrastructure (GCP) Hands-on experience with AI/ML initiatives, including model deployment, data pipelines, and analytics integration. Demonstrated ability to architect scalable, secure, and performant systems. Strong understanding of software development life cycles, agile methodologies, and CI/CD pipelines. Excellent leadership, team-building, and More ❯

and release of mobile apps, ensuring performance, UX quality, and seamless integration with the e-commerce ecosystem. AI & Advanced Technology: Drive AI initiatives, including product recommendation engines, computer vision, predictive analytics, and other ML-driven applications. Project & Delivery Management: Ensure projects are delivered on time, within budget, and to high-quality standards. Implement agile methodologies and best practices … in Magento 2, APIs, modern web and mobile frameworks (React, PHP) and cloud infrastructure (GCP) Hands-on experience with AI/ML initiatives, including model deployment, data pipelines, and analytics integration. Demonstrated ability to architect scalable, secure, and performant systems. Strong understanding of software development life cycles, agile methodologies, and CI/CD pipelines. Excellent leadership, team-building, and More ❯

the intersection of technology, investment, and strategy. Key Responsibilities Translate complex business problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to … impact, not just model accuracy. Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g. More ❯

the intersection of technology, investment, and strategy. Key Responsibilities Translate complex business problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to … impact, not just model accuracy. Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g. More ❯

the intersection of technology, investment, and strategy. Key Responsibilities Translate complex business problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to … impact, not just model accuracy. Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g. More ❯

the intersection of technology, investment, and strategy. Key Responsibilities Translate complex business problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to … impact, not just model accuracy. Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor's or Master's degree in a quantitative field (e.g. More ❯

the intersection of technology, investment, and strategy. Key Responsibilities Translate complex business problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to … impact, not just model accuracy. Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g. More ❯