23 of 23 DemandTrendPermanent Predictive Modelling Jobs in Manchester

Head of Modelling & Optimisation, Head of Pricing Transformation Two positions are available, Head of Modelling & Optimisation and Head of Pricing Transformation. These roles sit within ourRetail Pricing - Modelling & Optimisation division. Location: We operate flexible hybrid working for these positions and have offices based in Manchester and Peterborough. Role purpose The successful candidate is responsible for leading technical … pricing solutions Drive change and innovation to ensure continuous improvement End to end production of pricing models using a tailor-made pricing pipeline Use of pricing software to build predictive statistical models and intelligently optimise customer prices Contribute and implement improvements to the pricing process to increase pricing performance and efficiency Contribute and lead research and development opportunities to … help innovate and improve current modelling and pricing methodologies Ensure all activity is compliant with pricing governance and follows established controls Work closely with the Street Pricing Team to ensure pricing models meet business objectives, and manage relationships with key stakeholders around the business Manage a team of varying experience, including managers About you: Strong experience managing pricing teams More ❯

senior leadership in a collaborative environment. This position sits within a growing Analytics and Insights team of four, focusing on the technical side of customer data analysis including statistical modelling, machine learning models, and data visualisation tools such as Power BI. You will manage extensive survey programmes, including over 1,000 customer surveys annually and transactional surveys, ensuring compliance … data-driven service improvements. Key Responsibilities: Design and manage comprehensive customer survey programmes, ensuring statistical robustness and regulatory compliance with TSM requirements Process and analyse large datasets using statistical modelling techniques and machine learning approaches to uncover meaningful customer insights Translate complex data into clear, actionable insights for business stakeholders Create compelling presentations and visual reports, demonstrating strong storytelling … models, enabling the business to better understand different tenant groups and tailor services accordingly Work closely with the Analytics and Insights team to contribute to strategic decision-making through predictive modelling and trend analysis Essential Requirements: Translate data and present findings with strong storytelling abilities, capable of simplifying complex analysis into actionable business insights Demonstrate strong presentation skills More ❯

senior leadership in a collaborative environment. This position sits within a growing Analytics and Insights team of four, focusing on the technical side of customer data analysis including statistical modelling, machine learning models, and data visualisation tools such as Power BI. You will manage extensive survey programmes, including over 1,000 customer surveys annually and transactional surveys, ensuring compliance … data-driven service improvements. Key Responsibilities: Design and manage comprehensive customer survey programmes, ensuring statistical robustness and regulatory compliance with TSM requirements Process and analyse large datasets using statistical modelling techniques and machine learning approaches to uncover meaningful customer insights Translate complex data into clear, actionable insights for business stakeholders Create compelling presentations and visual reports, demonstrating strong storytelling … models, enabling the business to better understand different tenant groups and tailor services accordingly Work closely with the Analytics and Insights team to contribute to strategic decision-making through predictive modelling and trend analysis Essential Requirements: Translate data and present findings with strong storytelling abilities, capable of simplifying complex analysis into actionable business insights Demonstrate strong presentation skills More ❯

senior leadership in a collaborative environment. This position sits within a growing Analytics and Insights team of four, focusing on the technical side of customer data analysis including statistical modelling, machine learning models, and data visualisation tools such as Power BI. You will manage extensive survey programmes, including over 1,000 customer surveys annually and transactional surveys, ensuring compliance … data-driven service improvements. Key Responsibilities: Design and manage comprehensive customer survey programmes, ensuring statistical robustness and regulatory compliance with TSM requirements Process and analyse large datasets using statistical modelling techniques and machine learning approaches to uncover meaningful customer insights Translate complex data into clear, actionable insights for business stakeholders Create compelling presentations and visual reports, demonstrating strong storytelling … models, enabling the business to better understand different tenant groups and tailor services accordingly Work closely with the Analytics and Insights team to contribute to strategic decision-making through predictive modelling and trend analysis Essential Requirements: Translate data and present findings with strong storytelling abilities, capable of simplifying complex analysis into actionable business insights Demonstrate strong presentation skills More ❯

insights. What you’ll be doing Work with Marketing, Digital, and Commercial teams to ensure analytics drive decision making. Optimise omni-channel campaigns (web, email, social, SEO) through analytics, predictive modelling, and segmentation. Analyse web and app performance, user journeys, and conversion trends. Support B2B analytics to understand and grow the value of partner relationships. Design models and More ❯

insights. What you’ll be doing Work with Marketing, Digital, and Commercial teams to ensure analytics drive decision making. Optimise omni-channel campaigns (web, email, social, SEO) through analytics, predictive modelling, and segmentation. Analyse web and app performance, user journeys, and conversion trends. Support B2B analytics to understand and grow the value of partner relationships. Design models and 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 ❯

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 ❯

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 ❯

clinical trial documentation (protocols, study reports, medical reports, patient narratives). 🔹 Create Digital Healthcare applications to support medical/scientific tools, patient engagement, and real-world evidence generation. 🔹 Design predictive models and generative AI solutions leveraging diverse healthcare data (clinical trials, EHRs, wearables, PROs, HEOR, Phase IV). 🔹 Collaborate with clinical, data science, RWE, and medical affairs teams to More ❯

clinical trial documentation (protocols, study reports, medical reports, patient narratives). 🔹 Create Digital Healthcare applications to support medical/scientific tools, patient engagement, and real-world evidence generation. 🔹 Design predictive models and generative AI solutions leveraging diverse healthcare data (clinical trials, EHRs, wearables, PROs, HEOR, Phase IV). 🔹 Collaborate with clinical, data science, RWE, and medical affairs teams to More ❯

clinical trial documentation (protocols, study reports, medical reports, patient narratives). 🔹 Create Digital Healthcare applications to support medical/scientific tools, patient engagement, and real-world evidence generation. 🔹 Design predictive models and generative AI solutions leveraging diverse healthcare data (clinical trials, EHRs, wearables, PROs, HEOR, Phase IV). 🔹 Collaborate with clinical, data science, RWE, and medical affairs teams to More ❯

clinical trial documentation (protocols, study reports, medical reports, patient narratives). 🔹 Create Digital Healthcare applications to support medical/scientific tools, patient engagement, and real-world evidence generation. 🔹 Design predictive models and generative AI solutions leveraging diverse healthcare data (clinical trials, EHRs, wearables, PROs, HEOR, Phase IV). 🔹 Collaborate with clinical, data science, RWE, and medical affairs teams to More ❯

clinical trial documentation (protocols, study reports, medical reports, patient narratives). 🔹 Create Digital Healthcare applications to support medical/scientific tools, patient engagement, and real-world evidence generation. 🔹 Design predictive models and generative AI solutions leveraging diverse healthcare data (clinical trials, EHRs, wearables, PROs, HEOR, Phase IV). 🔹 Collaborate with clinical, data science, RWE, and medical affairs teams to More ❯

prototypes using modern frameworks and cloud platforms. Contribute to long-term AI strategy and roadmap development. Ideal Candidate: Strong hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Excellent communication and mentoring skills. Ability to translate complex technical concepts for non-technical audiences. Passionate More ❯

prototypes using modern frameworks and cloud platforms. Contribute to long-term AI strategy and roadmap development. Ideal Candidate: Strong hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Excellent communication and mentoring skills. Ability to translate complex technical concepts for non-technical audiences. Passionate More ❯

Bank to list a few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing, retail and machine learning teams to provide … create solutions that leverage vast data assets and lead the development of bespoke machine-learning models to improve the underwriting performance of the Group. Key Responsibilities: Develop and test modelling improvements for pricing models, particularly in motor. These might include improvements in hyper-parameter tuning methods, model performance, model stability and feature explainability Be the technical lead in the … development of predictive models that solve business challenges through one-off analyses or bespoke modelling. Such work would include risk classification, such as area or vehicle classification, as well as predictive models for other business use cases such as conversion or retention Adapt known machine learning techniques such as GBMs to create solutions/models that are state More ❯

our team and help us unlock the full value of our video telematics data. You’ll work closely with product, engineering, and commercial teams to deliver actionable insights, build predictive models, and support data-driven decision-making across the business. This role is ideal for someone who’s curious, self-directed, and thrives on turning data into real-world … Your responsibilities day to day will be... Work hands-on with large-scale telematics datasets (e.g. GPS, accelerometer, vehicle diagnostics, video) to uncover insights and opportunities. Build and deploy predictive models to support driver behaviour analysis, fleet performance, and product optimisation. Collaborate with stakeholders to understand business problems and translate them into Data Science solutions. Take ownership of projects … from Idea to Delivery — including data exploration, modelling, validation, and communicating results. Develop dashboards, reports, and visualisations to make insights accessible and actionable. Mentor and support a Data Analyst, helping them grow their technical and analytics skills. Identify and champion opportunities to improve processes, products, and customer outcomes using data. Stay up to date with industry trends in mobility More ❯

analytical models. We are with them to help protect their information, make informed decisions, deliver a personalised service and automate their workloads. Our engineers might be building data pipelines, modelling data, developing predictive models or automations for repeatable tasks or creation of data products. The role: Your role in the division is to lead the team developing our … processes to ensure good practice is embedded, in line with our strategic themes of quality, efficiency, empowerment, transparency and governance. That means you will be conversant with data warehouse modelling, source control, CICD and Infrastructure as Code. Our technology stack is based on Microsoft software: Azure, SQL Server and DevOps, using Terraform for infrastructure deployment. Our source data is … Experience of team leadership, especially of hybrid on- and off-shore teams - Experience of managing a team’s workload in collaboration with delivery, project or product professionals - Experience of modelling and building an enterprise data warehouse to support analytical workloads - Experience of using Azure services including Azure SQL Database, Data Factory, DevOps, Power BI - Experience of good SDLC practices More ❯

analytical models. We are with them to help protect their information, make informed decisions, deliver a personalised service and automate their workloads. Our engineers might be building data pipelines, modelling data, developing predictive models or automations for repeatable tasks or creation of data products. The role: Your role in the division is to lead the development of our … to ensure good practice is embedded, in line with our strategic themes of quality, efficiency, empowerment, transparency and governance. That means you will be conversant with Power BI data modelling and its emerging capabilities in source control and CICD. Our technology stack is based on Microsoft software: Azure, SQL Server and DevOps, using Terraform for infrastructure deployment and Python … Experience of team leadership, especially of hybrid on- and off-shore teams - Experience of managing a team’s workload in collaboration with delivery, project or product professionals - Experience of modelling and building an enterprise reporting service in Power BI - Experience of using Azure services including Azure SQL Database, AI services, DevOps, Power BI - Experience of delivering software solutions in More ❯

to bring in a Learning Analyst to sit within their high-performing Insight function. Reporting into a Senior Insight Manager, this role is a great opportunity to combine analytics, modelling, and experimentation to shape how thousands of learners engage with digital products! THE ROLE You’ll be joining a growing team (currently 8, will be 10 by end of … learner performance and satisfaction. A large part of the role will involve: Analysing learner data and product performance across key educational programmes Running A/B tests and building predictive models to improve retention and personalise learning paths Using tools like Power BI and Microsoft Fabric to surface insights that inform design and curriculum improvements This is a great More ❯

Senior Pricing Analyst sought for by our client who is seeking a candidate with experience working in a Non-Life Pricing role and has built predictive models with various software packages to join them as a Senior Pricing Analyst. An ideal opportunity for a candidate with strong systems experience of Radar, Emblem, Python and SAS to join as a … Senior Pricing Analyst. Responsibilities of Senior Pricing Analyst: Build predictive models using SAS, Radar, Emblem, and other software packages Lead and oversee research efforts aimed at enhancing retail pricing effectiveness Develop a cutting-edge strategy that propels the company's progress through the implementation of novel analytical techniques Oversee a group of analysts, ensuring that they meet their delivery More ❯