1 to 25 of 199 Predictive Analytics Jobs in England

Mastery of SQL, including the ability to write complex queries, stored procedures, views and perform query optimization. •Programming/Statistical Analysis Skills: Working knowledge of R or Python for analytics, data manipulation, and algorithm development. •Data Warehousing Knowledge: In-depth knowledge of data warehousing principles, dimensional modeling techniques (e.g., star schema, snowflake schema), and data quality management. •Communication and … with project management methodologies (e.g., Agile, Waterfall) and tools (e.g., JIRA, Confluence). PREFFERED QUALIFICATIONS •Minimum 1+ years of experience supporting a Financial Operations function •Experience in advanced data analytics, statistical modeling, and predictive analytics using tools such as Alteryx, Python, or R; experience with machine learning algorithms and techniques is a plus. •Experience in building and More ❯

Subscription Analytics Manager Location: Harmsworth Media Headquarters, Derry Street, HSK, London Position: Permanent Role Overview As Subscription Analytics Manager , you will play a key role in driving data analytics initiatives that support subscriber growth and retention strategies at Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key … performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve, and maintain customer segmentation models to provide … deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, and product, to ensure data-driven decision-making aligns with business objectives. Deliver actionable recommendations to optimise marketing spend, customer acquisition More ❯

play a critical role in transforming how we understand and serve our customers. In this exciting role, you'll lead the analysis of customer behaviour and commercial data, using predictive and advanced analytics to influence high-level decision-making across trading, CRM, and marketing. You'll be a key voice in the room, translating complex findings into clear … a numbers role, it's an opportunity to impact the future of one of the UK's fastest-growing retailers. You'll work at the heart of our Data & Analytics team, collaborating cross-functionally and mentoring others while driving innovation through experimentation, modelling, and automated decisioning. If you thrive in a fast-paced, insight-led environment and want your … target and segment consumers for targeted offers and promotions - Interrogate large volumes of data from a range of sources (online, customer verbatims, transactional etc) to use for modelling - Build predictive models to support business decision making - Build prescriptive tools (automated decisioning) with measurable commercial value - especially improving our marketing ROI - Lead the proactive and reactive support for the weekly More ❯

decisions that fuel innovation and operational excellence. Based from our Bristol office working on a hybrid basis (3 days in the office), you'll lead a small team of analytics professionals, ensuring the delivery of actionable insights to optimise product performance, enhance customer experience, and shape the future direction of the business. This role offers the opportunity to define … the data culture, and make a tangible impact in a dynamic, fast-paced environment. Key areas of responsibility will include: Strategic leadership Defining and executing a management information and analytics strategy that supports Zellis' business goals. Mentoring and developing a high-performing team of analysts and data specialists, fostering a collaborative and innovative work culture across the Business Units … and Group. Collaborating with executive leadership to identify data opportunities and inform strategic decision-making. Data analytics and insights Analysing financial, customer, product, and operational data to deliver actionable insights that drive performance and revenue growth. Identifying key performance indicators (KPIs) relevant to the software sector, enabling effective tracking of organisational success. Ensuring key metrics are clearly defined. Leveraging More ❯

and pre-processing to ensure data quality for AI/ML applications. Develop and apply data science methodologies to extract insights from large-scale structured and unstructured datasets. Utilise predictive analytics, time series forecasting, and statistical models (nice to have skill) to drive business decision-making. Train, evaluate, and optimize models using statistical techniques Key Skills: 5+ years … science Data science libraries (e.g., NumPy, pandas, scikit-learn). Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure) is desirable. MSc or PhD in Computer Science, Data Science, Artificial Intelligence, or More ❯

Power Query, DAX, and SQL 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 reporting frameworks for enterprise-level … plus. Strong analytical, problem-solving, 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, Python, or R for advanced More ❯

Power Query, DAX, and SQL 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 reporting frameworks for enterprise-level … plus. Strong analytical, problem-solving, 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, Python, or R for advanced More ❯

and utilise AWS and Azure based cloud environments. The teams use Agile ways of working including software such as Confluence and Jira to manage delivery. Our Enterprise Data and Analytics Platform (EDAP) is enriched with curated, consistent, and high-quality data from existing platforms as well as providing access to a range of analytical tooling. Main duties of the … job We currently have openings in the following teams: Health Analytics and Automation - Leading on the delivery of key products to support incident response and the routine surveillance of health conditions and infectious diseases. Work across directorates and with external stakeholders to identify and develop opportunities for product automation and reproducible analyses (includes the automation of epidemiological and statistical … science is a broad and fast-moving field spanning maths, statistics, software engineering and communications. Data scientists will often work as part of a multidisciplinary team, using data and analytics to inform and achieve organisational goals. In this role, you will: be inquisitive explore and visualise data make recommendations to address complex problems and to inform strategic and operational More ❯

and utilising our data for novel purposes outside of the routine operations of hospital. It will work collaboratively with the Trust's core digital and data functions, performance and analytics, clinical and operational staff, academics and commercial partners to discover new insights and develop data-driven applications. It will also play a key role in managing the safe, secure … and efficient deployment of such solutions - from predictive analytics to medical device-grade decision support tools - in line with policies and processes that it takes the lead in designing. The Trust is committed to funding the unit and the necessary digital technology infrastructure to drive innovation. The unit will consist of a mix of new positions and existing … to establish our Clinical Data Science and Engineering Unit. You will have a proven track record in designing and managing enterprise data architectures, leading large-scale data integration and analytics projects, and working with cloud platforms, modern data tools, and programming languages. You will have proven experience in working collaboratively with non-technicians to translate needs into projects and More ❯

engineers and industry experts, applying data engineering and data science techniques to optimize supply chain processes. Your expertise will directly contribute to providing our clients with real-time visibility, predictive analytics, and actionable insights. What You Will Do Develop and implement machine learning models to improve the accuracy of supply chain ETA s. Analyze large, complex datasets to … extract meaningful insights and identify trends. Design, build, and maintain scalable data pipelines and data lakes to ensure efficient data flow and storage for analytics purposes. Collaborate with cross-functional teams to integrate analytics solutions into our products. Design and build data visualization tools to communicate findings to stakeholders. Continuously research and apply the latest techniques in AI … and machine learning to supply chain problems. Contribute to the development of our analytics product suite, ensuring scalability and efficiency. Communicate complex data science concepts to non-technical stakeholders. Key Responsibilities 1. Advanced Predictive Models: Utilize machine learning algorithms to analyze historical data and identify patterns. Models such as regression analysis, neural networks, or ensemble methods can predict More ❯

Days Type: Full-time StartDate: Immediate Salary: Competitive Join our team at Cooper Moss Rutland as a Project Control Manager (Power B.I), where you'll leverage cutting-edge Controls Analytics solutions to empower clients in making data-driven decisions for effective project control and performance management. You'll develop and manage insightful dashboards and reports, monitor key performance indicators … and present actionable insights to stakeholders. Your role will also involve predictive analytics, root-cause analysis, risk management collaboration, and ensuring compliance with industry standards. Proficiency in tools like Power BI, SQL, and Python, along with familiarity with PRISM or Primavera, is essential. Be part of a dynamic team driving project success through advanced analytics! About us … and making a real difference. We believe in rewarding our team for their achievements, celebrating our successes but equally helping each other when things are tough. You'll Controls Analytics & Reporting: Develop and manage dashboards and reports that provide insights into project health across cost, schedule, and risk performance. Monitor key project performance indicators and identify trends, deviations, and More ❯

Days Type: Full-time StartDate: Immediate Salary: Competitive Join our team at Cooper Moss Rutland as a Project Control Manager (Power B.I), where you'll leverage cutting-edge Controls Analytics solutions to empower clients in making data-driven decisions for effective project control and performance management. You'll develop and manage insightful dashboards and reports, monitor key performance indicators … and present actionable insights to stakeholders. Your role will also involve predictive analytics, root-cause analysis, risk management collaboration, and ensuring compliance with industry standards. Proficiency in tools like Power BI, SQL, and Python, along with familiarity with PRISM or Primavera, is essential. Be part of a dynamic team driving project success through advanced analytics! About us … and making a real difference. We believe in rewarding our team for their achievements, celebrating our successes but equally helping each other when things are tough. You'll Controls Analytics & Reporting: Develop and manage dashboards and reports that provide insights into project health across cost, schedule, and risk performance. Monitor key project performance indicators and identify trends, deviations, and More ❯

team members and support their professional development. Essential Requirements: BA/MA/BSc/MSc in Mathematics. At least 6 years of experience in business intelligence or data analytics roles. Strong proficiency in BI tools such as Power BI, Tableau, or Qlik. Solid understanding of data warehousing concepts and database management. Experience with SQL and data visualisation best … teams. Strong communication and presentation skills to convey complex data insights to non-technical stakeholders. Experience in managing and mentoring a team. Desirable Criteria: A relevant degree in Data Analytics, Computer Science, or a related field. Familiarity with machine learning concepts and predictive analytics. Experience within a consulting or professional services environment. Benefits At Interpath, our people lie More ❯

risk, and customer management. You'll have the opportunity to shape the direction of data science initiatives and work with a highly skilled team to implement autonomous decision frameworks, predictive modelling, and advanced analytics. Key Responsibilities: Own and develop predictive models to improve customer outcomes across multiple business domains. Lead model deployment and policy setting to enhance autonomous … seek and identify opportunities for process improvement through data. Key Skills & Experience: Proven experience delivering end-to-end data science solutions in a commercial environment. Strong technical expertise in predictive modelling, machine learning, and AI. Proficient in R, Python, SQL, and familiar with visualisation tools like Power BI. Excellent problem-solving, communication, and stakeholder management skills. Experience in applying More ❯

to the future, in the rapid growth environment of Cloud Computing? Amazon Web Services is looking for a highly motivated, analytical and detail oriented candidate to help build scalable, predictive and prescriptive business analytics solutions that supports AWS Supply Chain and Procurement organization. You will be part of the Supply Chain Analytics team working with Global Stakeholders … other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Bachelor degree in mathematics, statistics, computer science, engineering. 8+ yrs of experience in Analytics/BI, writing and optimizing SQL/Python with large-scale, complex datasets. - 3+ years' experience using business intelligence tools like QuickSight, Tableau, PowerBI. - Strong financial acumen and analytics More ❯

Agency Job 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 … just about driving inclusion across 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 across Operations, Portfolio Performance, H … S, Risk Management and Sustainability. It provides essential actionable insights to support planning, decision making, scenario planning and predictive analytics. Data analytics across the GPA is already providing a transparent, interactive interface to the large amount of data collected and processed in GPA. Because of the demand and high importance of data analytics & reporting, a lead role More ❯

as well as specialist practices Publicis Media Exchange (PMX), Performics, Publicis Sport & Entertainment, Publicis Media Content and NextTECHnow. Together they combine deep expertise in media investment, strategy, insights and analytics, data and technology, commerce, performance marketing and content. Publicis Media is part of Publicis Groupe and is present in more than 100 countries with over 23,500 employees worldwide. … and automations focused on areas such as campaign optimization, audience segmentation, creative generation, bid management, reporting, and measurement• Develop and implement AI-powered measurement solutions: Create advanced attribution models, predictive analytics tools, and automated reporting dashboards that leverage AI to provide deeper insights into campaign performance and ROI• Build and deploy AI automations leveraging LLMs and AI agent … scale them within an organization• Strong coding skills in Python or similar languages, with experience in developing and deploying AI/ML models• Proficiency in working with data and analytics platforms, including experience with data manipulation, analysis, and visualization• Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights• Strong communication, presentation, and More ❯

available Salary up to £38,000 per annum Our award-winning client, based in Newark, Nottinghamshire is seeking a highly skilled Data Warehouse Engineer to join their Data and Analytics team. This is a full time, permanent position with the opportunity for hybrid working. THE ROLE As a Data Warehouse Engineer , you will have the following responsibilities: Design, develop … models, efficient performance and maintain documentation of data models, data flows, and reporting solutions. Leverage AI and machine learning tools to enhance reporting capabilities, automate data insights, and drive predictive analytics. Participate in data governance and contribute to the continuous improvement of data architecture and standards. THE CANDIDATE The ideal Data Warehouse Engineer will possess the following skills: 2+ More ❯

analysis and insights drumbeat of Amazon and B2B eCommerce within Western Europe Provide regular performance analysis to a wide range of team members across Western Europe Be a trusted analytics partner who generates recommendations that accelerate growth and influence collaborators Triangulate first and third-party data sources to generate insights through data analysis Ensure data flows are accurate and … rapid decision making Conduct deep dives and incremental analysis into performance and generate practical insights - particularly supporting key events such as Prime Day, Black Friday Support delivery of advanced analytics and the move from descriptive to predictive analytics Play your part in our team succeeding You will be part of the Western Europe Analytics & Insight team … a mix of datasets from different sources to analyse commercial performance Strong analytical skills, robust commercial acumen and strength in deriving commercially valuable insights from data Expertise in managing analytics tools and Data Query coding (e.g., SQL, Python) Business Intelligence & Reporting Tools (e.g., Power BI) Good awareness of common Data Analytics techniques, together with advanced Data Visualisation Skills More ❯

acquisition strategies. Responsibilities Develop and maintain acquisition and engagement (e.g. influencer/affiliate, organic, VIP, paid acquisition etc.) dashboards to monitor user growth and campaign effectiveness. Assist in building predictive models to guide strategic decisions on acquisition and engagement, encompassing time series, predictive analytics, and recommender systems. Analyze data to derive actionable insights that drive business decisions More ❯

integrate seamlessly with existing business systems. Ensure AI models support enterprise-grade workloads , focusing on efficiency, adaptability, and security . Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect … software engineers and business consultants to integrate AI solutions into professional services applications. Ensure AI components interact seamlessly with enterprise platforms such as CRM, ERP, workflow automation tools, and analytics dashboards . Ethical AI & Compliance Embed AI fairness, transparency, and accountability principles into AI systems, ensuring ethical AI deployment. Stay updated on AI governance policies and compliance frameworks related … High-Performance Computing (HPC) and AI workloads for large-scale enterprise solutions. NVIDIA CUDA, cuDNN, TensorRT experience for deep learning acceleration. Big Data platforms (Hadoop, Spark) for AI-driven analytics in professional services. Pls share CV at payal.c@hcltech.com More ❯

integrate seamlessly with existing business systems. Ensure AI models support enterprise-grade workloads , focusing on efficiency, adaptability, and security . Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect … software engineers and business consultants to integrate AI solutions into professional services applications. Ensure AI components interact seamlessly with enterprise platforms such as CRM, ERP, workflow automation tools, and analytics dashboards . Ethical AI & Compliance Embed AI fairness, transparency, and accountability principles into AI systems, ensuring ethical AI deployment. Stay updated on AI governance policies and compliance frameworks related … High-Performance Computing (HPC) and AI workloads for large-scale enterprise solutions. NVIDIA CUDA, cuDNN, TensorRT experience for deep learning acceleration. Big Data platforms (Hadoop, Spark) for AI-driven analytics in professional services. Pls share CV at payal.c@hcltech.com More ❯

integrate seamlessly with existing business systems. Ensure AI models support enterprise-grade workloads , focusing on efficiency, adaptability, and security . Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect … software engineers and business consultants to integrate AI solutions into professional services applications. Ensure AI components interact seamlessly with enterprise platforms such as CRM, ERP, workflow automation tools, and analytics dashboards . Ethical AI & Compliance Embed AI fairness, transparency, and accountability principles into AI systems, ensuring ethical AI deployment. Stay updated on AI governance policies and compliance frameworks related … High-Performance Computing (HPC) and AI workloads for large-scale enterprise solutions. NVIDIA CUDA, cuDNN, TensorRT experience for deep learning acceleration. Big Data platforms (Hadoop, Spark) for AI-driven analytics in professional services. Pls share CV at payal.c@hcltech.com More ❯

Learning ? QSR have an exciting opportunity available for an experienced AI/ML Specialist to join a cutting-edge project, driving innovation through Large Language Models (LLMs), GenAI, and predictive analytics. Key Responsibilities: Design, develop, and deploy AI/ML models, including LLMs and GenAI. Conduct feature engineering, model optimization, and performance tuning. Implement and train supervised, unsupervised, and … out advanced data exploration, analysis, and preprocessing. Deploy scalable models into production, with ongoing monitoring and tuning. Collaborate with cross-functional teams to integrate AI into business applications. Use predictive analytics and time series forecasting for data-driven insights. Document AI/ML workflows, pipelines, and decisions. Lead and mentor junior team members. Essential Skills: 5+ years in More ❯

Learning ? QSR have an exciting opportunity available for an experienced AI/ML Specialist to join a cutting-edge project, driving innovation through Large Language Models (LLMs), GenAI, and predictive analytics. Key Responsibilities: Design, develop, and deploy AI/ML models, including LLMs and GenAI. Conduct feature engineering, model optimization, and performance tuning. Implement and train supervised, unsupervised, and … out advanced data exploration, analysis, and preprocessing. Deploy scalable models into production, with ongoing monitoring and tuning. Collaborate with cross-functional teams to integrate AI into business applications. Use predictive analytics and time series forecasting for data-driven insights. Document AI/ML workflows, pipelines, and decisions. Lead and mentor junior team members. Essential Skills: 5+ years in More ❯