1 to 25 of 91 Permanent Predictive Analytics Jobs in England

employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Data Scientist (Predictive Analytics Specialist) Location: Hybrid working, minimum 2 days in the Manchester (Salford Quays) Office Reports to: Head of Data Salary : £50K, plus target … on-prem to cloud based, cost effective, scalable and resilient services. About The Role: We are seeking a talented Data Scientist to drive our predictive analytics capabilities across commercial and operational processes. The successful candidate will apply advanced analytical techniques to forecast trends, optimise performance, and inform strategic … will work closely with cross-functional teams to enhance data-driven decision-making and contribute to the continuous improvement of our operations. Key Responsibilities: Predictive Modelling: Develop and implement predictive models to forecast key metrics such as sales performance, customer and learner behaviour, and operational efficiency. Data Analysis More ❯

that create operational efficiencies and business impact. Leading a high-performing team, you'll shape a data-driven culture, ensuring our platforms, reporting, and analytics capabilities evolve to meet the needs of a growing, multi-brand business. Why Join Us? Lead Data Transformation: Develop and execute a business-wide … making Build and Optimise Infrastructure: Oversee data platforms, architecture, and governance, ensuring scalability, security, and performance Drive Business Performance: Deliver insightful reports, dashboards, and analytics that support key KPIs across multiple brands Develop a High-Performing Team: Lead and mentor data analysts and engineers, fostering a collaborative and innovative … environment Stay Ahead of Trends: Explore AI, machine learning, and predictive analytics to enhance decision-making and operational efficiency What You Can Offer Proven experience in a similar role, having a strong software engineering background coupled with commercial acumen to be able to guide business stakeholders and translate More ❯

seamless integration between components and optimal performance across the technology stack. Technical Innovation: Leverage cutting-edge technologies, such as large language models, computer vision, predictive analytics, machine learning and data science, to solve complex problems and contribute to the companies position at the forefront of the energy industry. … strong emphasis on AI engineering, while having less focus on robotics. Hands-on experience with advanced technologies like large language models (LLMs), computer vision, predictive analytics, and data science. Candidate should be an idea or concept developer with a strong background in innovation, particularly in POC development and More ❯

and Modeling: Analyze extracted data using advanced statistical and machine learning models. Collaborate with data scientists to implement state-of-the-art models for predictive and prescriptive analytics. Financial Data Expertise: Leverage past experience in financial data analysis to provide insights and support decision-making processes. Work with financial More ❯

and Modeling: Analyze extracted data using advanced statistical and machine learning models. Collaborate with data scientists to implement state-of-the-art models for predictive and prescriptive analytics. Financial Data Expertise: Leverage past experience in financial data analysis to provide insights and support decision-making processes. Work with financial More ❯

for data modeling, transformation, and performance optimisation. Ensure compliance with data governance, security protocols, and company standards for digital delivery. Support the use of predictive analytics and trend analysis to identify risks and opportunities across portfolios. Drive data quality and assist in the design of data pipelines and … and communication skills. Ability to translate complex data into clear, meaningful visual insights for technical and non-technical audiences. Bachelor's degree in Data Analytics, Engineering, Computer Science, or related discipline (or equivalent experience). Desirable Skills: Knowledge of Power Platform (Power Automate, Power Apps). Experience with Azure More ❯

for data modeling, transformation, and performance optimisation. Ensure compliance with data governance, security protocols, and company standards for digital delivery. Support the use of predictive analytics and trend analysis to identify risks and opportunities across portfolios. Drive data quality and assist in the design of data pipelines and … and communication skills. Ability to translate complex data into clear, meaningful visual insights for technical and non-technical audiences. Bachelor's degree in Data Analytics, Engineering, Computer Science, or related discipline (or equivalent experience). Desirable Skills: Knowledge of Power Platform (Power Automate, Power Apps). Experience with Azure More ❯

Senior Analytics Engineer The Role This is an exciting opportunity for an experienced Senior Analytics Engineer to lead technical work on projects, manage complex stakeholder relationships, and deliver innovative data solutions. Positioned at the intersection of Data Analytics, Software Development, and Data Engineering, this role is critical … in shaping data-driven decision-making across diverse industries. As a Senior Analytics Engineer, you’ll be responsible for designing scalable data pipelines, leading technical execution, and mentoring junior team members. The role involves close collaboration with stakeholders to understand their objectives and deliver high-impact solutions, while also … driving innovation in analytics engineering practices. Key Responsibilities Technical Leadership : Design and implement robust, scalable data pipelines using tools such as dbt and Airflow. Stakeholder Collaboration : Work closely with stakeholders to understand business needs and deliver tailored, data-driven solutions. Data Transformation : Convert raw data into clean, actionable datasets More ❯

The Role: We’re looking for a Senior Full stack Engineer with a strong background in analytics, data pipelines, and marketing automation . You’ll lead the development of data-driven features , enabling enterprises to measure and optimize their digital business card interactions. As part of this role, you … ll help migrate our backend from Flask to Django , ensuring a scalable and well-structured API design. Responsibilities Design and develop analytics and reporting tools , providing insights into user engagement and marketing performance. Build and optimize data pipelines for tracking and processing user interactions. Work closely with co-founders … and product leaders to architect new marketing and analytics features . Support the migration from Flask to Django Adapt RESTful APIs to support integrations with CRM, marketing automation, and analytics platforms. Enhance the frontend using React and TypeScript , ensuring intuitive visualization of analytics data. Implement event tracking More ❯

the architectural design and implementation of AI/ML systems for quantitative trading and investment research Develop and maintain sophisticated machine learning models for predictive analytics, market forecasting, and trading strategy optimization Architect scalable and high-performance AI infrastructure capable of processing vast amounts of financial data in … Ensure the highest standards of model interpretability, explainability, and risk management Drive innovation in AI technologies, including large language models, deep learning, and advanced predictive algorithms Mentor and develop a team of AI engineers and data scientists Evaluate and integrate emerging AI technologies and research into existing systems Required … learning systems Strong programming skills in Python, with expertise in ML frameworks such as TensorFlow, PyTorch, and scikit-learn Proven track record of developing predictive models for financial applications Deep understanding of machine learning algorithms, statistical modeling, and data processing techniques Experience with cloud computing platforms (AWS, GCP, Azure More ❯

the architectural design and implementation of AI/ML systems for quantitative trading and investment research Develop and maintain sophisticated machine learning models for predictive analytics, market forecasting, and trading strategy optimization Architect scalable and high-performance AI infrastructure capable of processing vast amounts of financial data in … Ensure the highest standards of model interpretability, explainability, and risk management Drive innovation in AI technologies, including large language models, deep learning, and advanced predictive algorithms Mentor and develop a team of AI engineers and data scientists Evaluate and integrate emerging AI technologies and research into existing systems Required … learning systems Strong programming skills in Python, with expertise in ML frameworks such as TensorFlow, PyTorch, and scikit-learn Proven track record of developing predictive models for financial applications Deep understanding of machine learning algorithms, statistical modeling, and data processing techniques Experience with cloud computing platforms (AWS, GCP, Azure More ❯

to adopt and test new technologies. Architecture & Systems Integration Architect connected systems that link our kinetic and solar hardware with backend infrastructure and data analytics platforms. Design and oversee edge and cloud infrastructure for real-time and asynchronous data processing. Ensure scalable, secure, and robust system design that supports … efforts—from firmware and scripting to platform development and UX/UI integration. Shape our data strategy: from sensor collection, cleansing, and ingestion, to analytics, visualisation, and client reporting. Explore and implement AI/ML capabilities and predictive analytics to provide deeper insights and value to customers. More ❯

to adopt and test new technologies. Architecture & Systems Integration Architect connected systems that link our kinetic and solar hardware with backend infrastructure and data analytics platforms. Design and oversee edge and cloud infrastructure for real-time and asynchronous data processing. Ensure scalable, secure, and robust system design that supports … efforts—from firmware and scripting to platform development and UX/UI integration. Shape our data strategy: from sensor collection, cleansing, and ingestion, to analytics, visualisation, and client reporting. Explore and implement AI/ML capabilities and predictive analytics to provide deeper insights and value to customers. More ❯

Neural Network Design: Design and optimize deep learning neural networks for various AI tasks, such as natural language processing, computer vision, recommendation systems, and predictive analytics. Implement innovative architectures and techniques to improve model accuracy and efficiency. System Integration: Collaborate with software developers and engineers to integrate AI systems More ❯

is great is the people and the opportunity to progress and develop Role As Data Analyst, you will play a crucial role in developing analytics and AI forecasting tools to enhance inventory and materials planning capabilities. You will work across departments, turning complex data sets into actionable insights using … Power BI, Advanced Excel, and ERP platforms like SAP or Oracle. You ll also be involved in pioneering the development of AI tools for predictive analytics and forecasting, contributing to smarter decision-making and improved operational efficiency. A visible role within the organisation throughout the UK, Europe and …/modelling records. Extract and manipulate operational data from SAP or Oracle ERP systems. Collaborate with planning, procurement, and operations to ensure alignment of analytics with business goals. Monitor KPIs, identify trends, and present actionable insights to stakeholders. Document data processes and create reusable tools and templates for continuous More ❯

the people and the opportunity to progress and develop. Data Analyst Role As a Data Analyst, you will play a crucial role in developing analytics and AI forecasting tools to enhance inventory and materials planning capabilities. You will work across departments, turning complex data sets into actionable insights using … Power BI, Advanced Excel, and ERP platforms like SAP or Oracle. You’ll also be involved in pioneering the development of AI tools for predictive analytics and forecasting, contributing to smarter decision-making and improved operational efficiency. A visible role within the organisation throughout the UK, Europe and …/modelling records. Extract and manipulate operational data from SAP or Oracle ERP systems. Collaborate with planning, procurement, and operations to ensure alignment of analytics with business goals. Monitor KPIs, identify trends, and present actionable insights to stakeholders. Document data processes and create reusable tools and templates for continuous More ❯

is great is the people and the opportunity to progress and develop Role As Data Analyst, you will play a crucial role in developing analytics and AI forecasting tools to enhance inventory and materials planning capabilities. You will work across departments, turning complex data sets into actionable insights using … Power BI, Advanced Excel, and ERP platforms like SAP or Oracle. You’ll also be involved in pioneering the development of AI tools for predictive analytics and forecasting, contributing to smarter decision-making and improved operational efficiency. A visible role within the organisation throughout the UK, Europe and …/modelling records. Extract and manipulate operational data from SAP or Oracle ERP systems. Collaborate with planning, procurement, and operations to ensure alignment of analytics with business goals. Monitor KPIs, identify trends, and present actionable insights to stakeholders. Document data processes and create reusable tools and templates for continuous More ❯

and delivering complex data integration projects Geospatial capabilities (a strong advantage): Familiarity with GIS tools and spatial data concepts Experience incorporating geospatial data into analytics workflows Ability to apply spatial insights to improve public services and policy outcomes Desirable background includes: Previous work in the public sector Exposure to … Microsoft Azure services, Power Platform, or DevOps for data workflows Interest or experience in predictive analytics, machine learning, or AI-driven approaches If you are interested in this role and have the relevant experience, please apply below and I'll give you a call to discuss next steps More ❯

and delivering complex data integration projects Geospatial capabilities (a strong advantage): Familiarity with GIS tools and spatial data concepts Experience incorporating geospatial data into analytics workflows Ability to apply spatial insights to improve public services and policy outcomes Desirable background includes: Previous work in the public sector Exposure to … Microsoft Azure services, Power Platform, or DevOps for data workflows Interest or experience in predictive analytics, machine learning, or AI-driven approaches If you are interested in this role and have the relevant experience, please apply below and I'll give you a call to discuss next steps More ❯

and delivering complex data integration projects Geospatial capabilities (a strong advantage): Familiarity with GIS tools and spatial data concepts Experience incorporating geospatial data into analytics workflows Ability to apply spatial insights to improve public services and policy outcomes Desirable background includes: Previous work in the public sector Exposure to … Microsoft Azure services, Power Platform, or DevOps for data workflows Interest or experience in predictive analytics, machine learning, or AI-driven approaches If you are interested in this role and have the relevant experience, please apply below and I'll give you a call to discuss next steps More ❯

channels to improve services. 2. Fraud Detection and Prevention Real-Time Monitoring: Implement AI algorithms to detect and flag unusual transactions in real-time. Predictive Analytics: Use machine learning models to predict potential fraud based on historical data and behavioural patterns. 3. Loan Processing Automation Credit Scoring: AI More ❯

Manchester, UK Industry: Retail About the Role: Our UK leading retail client are seeking a highly skilled Senior Data Scientist to join their dynamic analytics team in Manchester. In this role, you will lead strategic data initiatives aimed at optimising customer engagement, pricing, and inventory management across our retail … e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modeling, and predictive analytics. Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS, CRM, supply chain). Familiarity with tools More ❯

Manchester, UK Industry: Retail About the Role: Our UK leading retail client are seeking a highly skilled Senior Data Scientist to join their dynamic analytics team in Manchester. In this role, you will lead strategic data initiatives aimed at optimising customer engagement, pricing, and inventory management across our retail … e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modeling, and predictive analytics. Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS, CRM, supply chain). Familiarity with tools More ❯

Page have exclusively partnered with The Government Property Agency (GPA) to support on their continued Data Transformation programmes. The newly created role of Data Analytics & Data Science Lead is pivotal in this strategy Client Details Government Property Agency Description Introduction: Michael Page have exclusively partnered with The Government Property … Agency (GPA) to support on their continued Data Transformation programmes. The newly created role of Data Analytics & Data Science Lead is pivotal in this strategy. The GPA is the largest property holder in government, with more than £2.1 billion in property assets and over 55% of the government's … our organisation, it is also about ensuring the services meet the needs of government departments and the civil servants work environments. Job Overview: Data analytics combined with Data Science can provide a transformational and powerful combination to support GPA's current and forward planning in key areas such as More ❯

are innovative, responsible, and aligned with strategic goals. Key Responsibilities: Research and prototype AI/ML models to address business challenges (e.g., process automation, predictive analytics, customer service optimisation) Develop and deploy machine learning models using modern tools (e.g., Python, TensorFlow, PyTorch, Scikit-learn) Collaborate with data engineers More ❯