51 to 75 of 169 Predictive Modelling Jobs in the UK

distribution of their comorbidities, the duration between diagnosis and intervention, treatment patterns etc. Protocol-driven analytics - estimating the association between clinical interventions and their outcomes - benefits and adverse events. Predictive models for determination of populations (phenotypes) or outcomes (patient-level predictions). Network studies - co-ordinating the execution of RWE analytics across multiple external data partner sites. This requires More ❯

design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing and BI principles … Skilled in data modelling, database design, and transformation processes Confident communicator with strong stakeholder engagement skills Agile delivery experience preferred Benefits: Hybrid working model – monthly onsite collaboration at a modern office in the Berkshire area Comprehensive benefits including healthcare, pension, life assurance, and income protection More ❯

design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing and BI principles … Skilled in data modelling, database design, and transformation processes Confident communicator with strong stakeholder engagement skills Agile delivery experience preferred Benefits: Hybrid working model – monthly onsite collaboration at a modern office in the Berkshire area Comprehensive benefits including healthcare, pension, life assurance, and income protection More ❯

design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing and BI principles … Skilled in data modelling, database design, and transformation processes Confident communicator with strong stakeholder engagement skills Agile delivery experience preferred Benefits: Hybrid working model – monthly onsite collaboration at a modern office in the Berkshire area Comprehensive benefits including healthcare, pension, life assurance, and income protection More ❯

research. You will be responsible for Qlik scripting, ideally with experience of optimisation and Qlik security model. Highly numerate, ideally including statistical experience. Proven experience in data analysis, data modelling and data visualisation. Experience of using advanced concepts - probability, statistical analysis, operational research, predictive modelling and mathematics and programming. Proven planning and dependency management skills including the More ❯

Location: Newcastle upon Tyne Job Type: Full-time Salary: Starting at £26,000 per annum Day-to-Day of the Role Conduct analysis of pricing and competitiveness. Engage in predictive modelling to assess changes in risk and profitability based on pricing strategies. Manage projects from data extraction through to trend analysis and the final written report. Perform cost … graduate in a scientific or analytical subject such as Maths, Economics, Biology, Chemistry, Statistics, etc., with at least a 2:1 grade. A keen interest in data analytics/modelling and a desire to build a career in this field. Strong organisational and communication skills, with the ability to work effectively in a fast-paced environment. Ability to meet More ❯

Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private … and mentor junior machine learning engineers and share best practices Key Skills and Experience: Previous experience in tuning and deploying machine learning methods Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML More ❯

Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private … and mentor junior machine learning engineers and share best practices Key Skills and Experience: Previous experience in tuning and deploying machine learning methods Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML More ❯

an innovative AI Engineer to design, develop, and deploy AI/ML-driven solutions that enhance business processes and decision-making. The role involves working with large datasets, building predictive models, and implementing intelligent automation systems. Key Responsibilities: Design, build, and deploy AI/ML models for real-world business use cases. Work with NLP, computer vision, and generative More ❯

an innovative AI Engineer to design, develop, and deploy AI/ML-driven solutions that enhance business processes and decision-making. The role involves working with large datasets, building predictive models, and implementing intelligent automation systems. Key Responsibilities: Design, build, and deploy AI/ML models for real-world business use cases. Work with NLP, computer vision, and generative More ❯

intersection of data, strategy, and innovation—building models, uncovering insights, and driving impact across the business. What You’ll Do Build and automate data pipelines from diverse sources Design predictive models and machine learning solutions Translate complex data into actionable insights for stakeholders Collaborate across teams to solve real-world business challenges Influence decision-making with evidence-based recommendations More ❯

reporting and self-service analytics, enhancing business literacy. Establish and oversee data governance, including policies, standards, quality, access control, and compliance. Develop AI prototypes to address strategic challenges, leveraging predictive models, optimization, and large language models. Serve as SGN's internal and external expert on responsible AI, advising stakeholders and engaging with regulators. Promote data and AI as essential More ❯

complex problems with data? Join a fast-growing tech and software innovation company in the heart of London. We’re looking for a Data Scientist eager to apply advanced modelling, analytics, and machine learning to build cutting-edge software solutions that empower businesses, streamline operations, and unlock growth. 🔍 Your Responsibilities: Data exploration & modelling: Work with large, complex datasets … to uncover insights and build scalable predictive models. Machine learning development: Design, train, and deploy models for applications. Software integration: Collaborate with engineers to integrate data-driven models into live products and platforms. Tool & framework development: Build algorithms, APIs, and analytical tools that enhance product capabilities and improve user experience. Data storytelling & reporting: Create dashboards and visualisations that communicate More ❯

leveraging empathy-driven research, surveys, and digital analytics to understand user needs and behaviours Data Management - establishing enterprise-wide data governance and quality standards to enable automated analysis and modelling Strategic Partnerships - ensuring effective data exchange and insight sharing with external service providers Data Governance - developing organisational data literacy, governance frameworks, and collaborative data strategies Advanced Analytics - delivering actionable … insights through statistical analysis, predictive modelling, and data science techniques Data Engineer What's in it for You? Flexible Working Culture: Hybrid arrangements combining office presence (1-2 days per week minimum) with remote working flexibility Flexible hours and compressed working week options Part-time and job-sharing opportunities available Adaptable arrangements to suit your personal circumstances Competitive More ❯

giving Markerstudy a critical advantage in the increasingly competitive insurance market. Key Responsibilities: Maintain and improve the pricing process to meet business requirements, including; Development of market leading behavioural modelling using a combination of traditional & data science techniques Improve sophistication within the optimisation of Markerstudy's direct brands Support delivery of pricing & underwriting business plan across Motor & Home portfolios … Experience: Experience managing general insurance products and/or pricing teams, including knowledge of current trends and issues in motor or home pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering. Knowledge of the technical differences between different packages for some of More ❯

Analyse complex datasets to provide actionable insights for the retail business. Collaborate with internal teams to gather reporting requirements and ensure data accuracy. Support the Analytics department in creating predictive models and trend analyses. Identify opportunities for process improvements through data analysis. Maintain data integrity and ensure compliance with company policies and industry standards. Provide training and support to More ❯

Analyse complex datasets to provide actionable insights for the retail business. Collaborate with internal teams to gather reporting requirements and ensure data accuracy. Support the Analytics department in creating predictive models and trend analyses. Identify opportunities for process improvements through data analysis. Maintain data integrity and ensure compliance with company policies and industry standards. Provide training and support to More ❯

Analyse complex datasets to provide actionable insights for the retail business. Collaborate with internal teams to gather reporting requirements and ensure data accuracy. Support the Analytics department in creating predictive models and trend analyses. Identify opportunities for process improvements through data analysis. Maintain data integrity and ensure compliance with company policies and industry standards. Provide training and support to More ❯

Analyse complex datasets to provide actionable insights for the retail business. Collaborate with internal teams to gather reporting requirements and ensure data accuracy. Support the Analytics department in creating predictive models and trend analyses. Identify opportunities for process improvements through data analysis. Maintain data integrity and ensure compliance with company policies and industry standards. Provide training and support to More ❯

training, deployment, and monitoring. Deep understanding of MLOps best practices, including CI/CD for ML, model versioning, experiment tracking, and reproducibility. Experience with tools used for statistical analysis, predictive modeling, and AI/ML development. Familiarity with data governance, security best practices, and compliance regulations. A track record of driving strategic initiatives and engineering standardization efforts across multiple 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 … 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 ETAs more accurately by considering … various factors like traffic conditions, weather, route efficiency, and historical performance. 2. Real-Time Data Integration: Incorporate real-time data into predictive models. This includes traffic updates, weather conditions, vehicle speed, and location data. Real-time data allows for dynamic adjustments to ETA predictions as conditions change. 3. Historical Data Analysis: Analyze historical data to understand common delays and More ❯

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 … 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 … 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 More ❯

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 … 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 … 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 More ❯

base spread across numerous industry verticals in the water, wastewater & energy sectors, amongst others. Drive customer and stakeholder satisfaction through proactive understanding of client business requirements, translating them into modelling solutions. This role is primarily customer-facing . Lead and attend workshop sessions with business stakeholders from time to time to determine business requirements for end-use cases to … Sciences, or a STEM related field. Essential Skills & Experience Proficiency in utilising advanced analytics and Data Science techniques for decision-making purposes, in particular statistical analysis, forecasting and other predictive modelling, and optimisation algorithms. Familiarity with Microsoft Excel, and basic knowledge of other tools and techniques such as MS SQL Server, Python, R, linear programming, and other optimisation … wastewater processes, combined sewer overflow systems, and associated operational challenges. Knowledge of regulatory requirements and industry best practices in wastewater management. Demonstrated ability to conduct comprehensive scenario analysis, optimisation modelling, and investment planning, with a keen understanding of the interplay between technical, economic, and environmental factors. Personal Characteristics A passion for using technology and quantitative analysis to drive real More ❯

base spread across numerous industry verticals in the water, wastewater & energy sectors, amongst others. Drive customer and stakeholder satisfaction through proactive understanding of client business requirements, translating them into modelling solutions. This role is primarily customer-facing . Lead and attend workshop sessions with business stakeholders from time to time to determine business requirements for end-use cases to … Sciences, or a STEM related field. Essential Skills & Experience Proficiency in utilising advanced analytics and Data Science techniques for decision-making purposes, in particular statistical analysis, forecasting and other predictive modelling, and optimisation algorithms. Familiarity with Microsoft Excel, and basic knowledge of other tools and techniques such as MS SQL Server, Python, R, linear programming, and other optimisation … wastewater processes, combined sewer overflow systems, and associated operational challenges. Knowledge of regulatory requirements and industry best practices in wastewater management. Demonstrated ability to conduct comprehensive scenario analysis, optimisation modelling, and investment planning, with a keen understanding of the interplay between technical, economic, and environmental factors. Personal Characteristics A passion for using technology and quantitative analysis to drive real More ❯