Job Title: Data Scientist (Modelling & Insight) Location: Manchester (hybrid working) Role Overview Markerstudy Group are looking for an experienced Data Scientist to join a fast growing company in developing ambitious solutions across a range of insurance lines, by leveraging vast data assets and state-of-the-art processing capabilities. As a Data Scientist, you will use your advanced analytical skills to directly influence insurer panel performance, ensuring our broking arm maintains a competitive edge through data-driven strategies and advanced analytics. Deliver outstanding and actionable customer insights Have responsibility for providing insights and support the building data products that helps shape Markerstudy s strategic roadmaps and customer propositions Support the delivery, maintanence and ongoing support of the Data Insight and Enrichment integration strategy across the group Work collaboratively with other areas to increase overall company performance Your ideas and solutions will enable improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market. As part of your Data Science career you will be expected to further advance a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems and adding demonstrable commercial value. Key Responsibilities: Lead the delivery of high-impact analytics and modelling projects to support strategic decision-making. Proactively identify and deliver innovative, data-led opportunities that drive measurable business impact Act as a subject matter expert in analytics and data science, providing technical guidance. Coach and mentor junior analysts, reviewing code and outputs to ensure quality and consistency. Maintain robust technical documentation and ensure compliance with data governance and regulatory standards. Support cross-functional initiatives such as the Trading Transformation Programme as a technical expert. Collaborate with stakeholders across pricing, marketing, and insurer relations to embed insights into business processes. Comply with all regulatory obligations with regards to customer data, competition law and other relevant guidance/ legislation. Key Skills and Experience: Previous demonstratable Data Science / Analytics Experience ideally within insurance or financial services. Strong academic background in a numerical discipline (eg BSc Mathematics, Computer Science, Data Science). Proficiency in statistical and machine learning techniques (eg logistic regression, clustering, GBMs) and the application of these in a business context. Advanced SQL and experience with Python and/or R. Strong communication and storytelling skills, with the ability to translate complex data into actionable insights. Experience reviewing the work of junior analysts. Ability to work independently, manage multiple priorities, and proactively share insights. Selfless when it comes to sharing findings, experience and advice. We work as a team not separate individuals! Resilience, can work independently to deliver projects Proactively share insights, results and identify risks, without prompting Proficient at communicating results in a concise manner both verbally and written Desirable Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. Experience mentoring junior analysts, sharing expertise and fostering a culture of continuous learning and innovation.
Sep 04, 2025
Full time
Job Title: Data Scientist (Modelling & Insight) Location: Manchester (hybrid working) Role Overview Markerstudy Group are looking for an experienced Data Scientist to join a fast growing company in developing ambitious solutions across a range of insurance lines, by leveraging vast data assets and state-of-the-art processing capabilities. As a Data Scientist, you will use your advanced analytical skills to directly influence insurer panel performance, ensuring our broking arm maintains a competitive edge through data-driven strategies and advanced analytics. Deliver outstanding and actionable customer insights Have responsibility for providing insights and support the building data products that helps shape Markerstudy s strategic roadmaps and customer propositions Support the delivery, maintanence and ongoing support of the Data Insight and Enrichment integration strategy across the group Work collaboratively with other areas to increase overall company performance Your ideas and solutions will enable improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market. As part of your Data Science career you will be expected to further advance a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems and adding demonstrable commercial value. Key Responsibilities: Lead the delivery of high-impact analytics and modelling projects to support strategic decision-making. Proactively identify and deliver innovative, data-led opportunities that drive measurable business impact Act as a subject matter expert in analytics and data science, providing technical guidance. Coach and mentor junior analysts, reviewing code and outputs to ensure quality and consistency. Maintain robust technical documentation and ensure compliance with data governance and regulatory standards. Support cross-functional initiatives such as the Trading Transformation Programme as a technical expert. Collaborate with stakeholders across pricing, marketing, and insurer relations to embed insights into business processes. Comply with all regulatory obligations with regards to customer data, competition law and other relevant guidance/ legislation. Key Skills and Experience: Previous demonstratable Data Science / Analytics Experience ideally within insurance or financial services. Strong academic background in a numerical discipline (eg BSc Mathematics, Computer Science, Data Science). Proficiency in statistical and machine learning techniques (eg logistic regression, clustering, GBMs) and the application of these in a business context. Advanced SQL and experience with Python and/or R. Strong communication and storytelling skills, with the ability to translate complex data into actionable insights. Experience reviewing the work of junior analysts. Ability to work independently, manage multiple priorities, and proactively share insights. Selfless when it comes to sharing findings, experience and advice. We work as a team not separate individuals! Resilience, can work independently to deliver projects Proactively share insights, results and identify risks, without prompting Proficient at communicating results in a concise manner both verbally and written Desirable Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. Experience mentoring junior analysts, sharing expertise and fostering a culture of continuous learning and innovation.
Job title: Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group have an exciting opportunity for a machine learning engineer to fill out the automation, pipelining, DevOps, and modelling aspects of Markerstudy s market-leading technical modelling and pricing team. You will productionise novel insurance modelling processes as an automated machine learning pipeline within a cloud-based environment. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1b. Most of Markerstudy s business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury s, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Machine Learning Engineer, you will help build and maintain the pricing team s MLOps and ML Lifecycle environment to support the creation of pipelines by automating the sophisticated machine learning models and processes that underpin our market-leading technical modelling and pricing function. Key Responsibilities: Build an MLOps / DevOps environment to support machine learning automation Build the pipelines that automate the regular model update and monitoring processes Build a framework that supports the creation, deployment, maintenance, and monitoring elements that non-data scientist and machine learning analysts produce, including assisting with hyper-parameter tuning, feature engineering, feature selection, and validation, reporting and visualisation, and communication processes. Work closely with the data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps / MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and modelling from the ground-up, not only through the use of packages and libraries Proficient at communicating results in a concise manner both verbally and written Previous industry experience in a STEM role or educated to the Master s level in a STEM or DS / ML / AI or maths-based discipline. Behaviours: Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes Strong grasp of industry standards, and proficient in either Python, R, or both
Sep 03, 2025
Full time
Job title: Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group have an exciting opportunity for a machine learning engineer to fill out the automation, pipelining, DevOps, and modelling aspects of Markerstudy s market-leading technical modelling and pricing team. You will productionise novel insurance modelling processes as an automated machine learning pipeline within a cloud-based environment. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1b. Most of Markerstudy s business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury s, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Machine Learning Engineer, you will help build and maintain the pricing team s MLOps and ML Lifecycle environment to support the creation of pipelines by automating the sophisticated machine learning models and processes that underpin our market-leading technical modelling and pricing function. Key Responsibilities: Build an MLOps / DevOps environment to support machine learning automation Build the pipelines that automate the regular model update and monitoring processes Build a framework that supports the creation, deployment, maintenance, and monitoring elements that non-data scientist and machine learning analysts produce, including assisting with hyper-parameter tuning, feature engineering, feature selection, and validation, reporting and visualisation, and communication processes. Work closely with the data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps / MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and modelling from the ground-up, not only through the use of packages and libraries Proficient at communicating results in a concise manner both verbally and written Previous industry experience in a STEM role or educated to the Master s level in a STEM or DS / ML / AI or maths-based discipline. Behaviours: Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes Strong grasp of industry standards, and proficient in either Python, R, or both
Job title: Senior Machine Learning 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 cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1 billion. Most of Markerstudy s business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury s, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Senior Machine Learning Engineer, you will use your skills to: Tune machine learning methods to best leverage our state-of-the-art processing capabilities Deploy and maintain machine learning methods in a DevOps / MLOps based machine learning environment Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standards Your work will enable sustained improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline by using robust test-driven development (TDD) approaches to maximise performance and robustness, and improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with the Senior Machine Learning Stakeholders, such as the Head of Machine Learning, Head of Data Science, and Head of Technical Underwriting Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software. Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible. Tune machine learning methods for optimal performance. Deploy and maintain machine learning methods in our machine learning pipeline using robust test-driven development (TDD) coding approaches, using the SOLID software development principles. Actively contribute to creating a culture of coding and data excellence Implement efficient solutions across a range of markets, including Private Motor, Commercial Vehicle, Bike, Taxi, and Home Lead 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 Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Proficient at communicating results in a concise manner both verbally and written Experience in data and model monitoring is a plus Behaviours: A high level of professional/academic excellence, educated to at least a master s level in a STEM-based or DS / ML / AI / or mathematical discipline Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes
Sep 03, 2025
Full time
Job title: Senior Machine Learning 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 cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1 billion. Most of Markerstudy s business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury s, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Senior Machine Learning Engineer, you will use your skills to: Tune machine learning methods to best leverage our state-of-the-art processing capabilities Deploy and maintain machine learning methods in a DevOps / MLOps based machine learning environment Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standards Your work will enable sustained improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline by using robust test-driven development (TDD) approaches to maximise performance and robustness, and improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with the Senior Machine Learning Stakeholders, such as the Head of Machine Learning, Head of Data Science, and Head of Technical Underwriting Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software. Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible. Tune machine learning methods for optimal performance. Deploy and maintain machine learning methods in our machine learning pipeline using robust test-driven development (TDD) coding approaches, using the SOLID software development principles. Actively contribute to creating a culture of coding and data excellence Implement efficient solutions across a range of markets, including Private Motor, Commercial Vehicle, Bike, Taxi, and Home Lead 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 Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Proficient at communicating results in a concise manner both verbally and written Experience in data and model monitoring is a plus Behaviours: A high level of professional/academic excellence, educated to at least a master s level in a STEM-based or DS / ML / AI / or mathematical discipline Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes
Job Title: Test Analyst x 2 Location: Tunbridge Wells - Hybrid About us: VisionTrack is a multiple award-winning IOT, high-throughput / big data insurance telematics & video solution. Role: We are currently looking for a Test Analyst to join one of our agile development teams and reporting to our head of QA. Working in one of our agile development teams you will support various development work streams, on features enhancements across the breadth of our cloud platform. The team is self-governed and we will encourage you to contribute in all areas to continually improve the quality and velocity of the team. As part of the overall QA team it s important that we continue to develop, maintain and enhance our automation testing coverage and therefore you will be a key and active contributor to this wider QA objective. Essential Skills: Proven experience in quality assurance and testing Excellent knowledge of the Defect Management Process Experienced in writing manual and automated test scenarios, cases/scripts to high level of detail Creating automated test scripts for our mobile app, website and API s programming in C# and using Selenium automation Develop, maintain and execute regression scripts for new and existing application suites Ensure testing results are captured and test reports are shared with the respective stakeholders Assist with the provision of time and effort estimates for testing activities during sprint planning Need to be Proactive, Result oriented, Good Oral and written communication and good team player Conduct post-release/ post-implementation testing Understanding of SQL Databases Strong knowledge of STLC, smoke testing, regression testing Firm understanding of Agile concepts Experienced in Web and Device testing (mobile and cross browser) Excellent written and spoken English Excellent attention to detail Able to troubleshoot issues with root cause analysis Desired Skills: Experience with Azure Experience with Microsoft Visual Studio Experience with .NET Experience with Big Data Database Technologies, DataLake, CosmosDb, SQL Experience with Telemetry Device Testing Experience with Azure DevOps (TFS) Experience with Load Testing
Sep 02, 2025
Full time
Job Title: Test Analyst x 2 Location: Tunbridge Wells - Hybrid About us: VisionTrack is a multiple award-winning IOT, high-throughput / big data insurance telematics & video solution. Role: We are currently looking for a Test Analyst to join one of our agile development teams and reporting to our head of QA. Working in one of our agile development teams you will support various development work streams, on features enhancements across the breadth of our cloud platform. The team is self-governed and we will encourage you to contribute in all areas to continually improve the quality and velocity of the team. As part of the overall QA team it s important that we continue to develop, maintain and enhance our automation testing coverage and therefore you will be a key and active contributor to this wider QA objective. Essential Skills: Proven experience in quality assurance and testing Excellent knowledge of the Defect Management Process Experienced in writing manual and automated test scenarios, cases/scripts to high level of detail Creating automated test scripts for our mobile app, website and API s programming in C# and using Selenium automation Develop, maintain and execute regression scripts for new and existing application suites Ensure testing results are captured and test reports are shared with the respective stakeholders Assist with the provision of time and effort estimates for testing activities during sprint planning Need to be Proactive, Result oriented, Good Oral and written communication and good team player Conduct post-release/ post-implementation testing Understanding of SQL Databases Strong knowledge of STLC, smoke testing, regression testing Firm understanding of Agile concepts Experienced in Web and Device testing (mobile and cross browser) Excellent written and spoken English Excellent attention to detail Able to troubleshoot issues with root cause analysis Desired Skills: Experience with Azure Experience with Microsoft Visual Studio Experience with .NET Experience with Big Data Database Technologies, DataLake, CosmosDb, SQL Experience with Telemetry Device Testing Experience with Azure DevOps (TFS) Experience with Load Testing
Job Title: Test Engineer (Hardware) Location: Tunbridge Wells - Hybrid About us: VisionTrack is a multiple award-winning IOT, high-throughout / big data insurance telematics & video solution. Role: We are looking for a test engineer to join our development team in the validation and testing of the in-vehicle camera devices with our IoT platform. Reporting to our head of QA this role will focus on the user acceptance testing of the devices themselves and their operation when used in the full end to end solution. This role will suit a methodical and analytical thinker and requires an ability to perform real-world in-vehicle and on the bench testing, compile concise and accurate formal test reports and to replicate, communicate and assist in the resolution of issues that are found as a result of this testing. A full UK driving license is essential as this role will involve undertaking journeys with the devices fitted in order to validate the data accuracy as well as an ability to install and de-install the equipment to the vehicle. Essential Skills: Ability to install aftermarket equipment to vehicles for the purpose of testing Ability to document test cases and results into formal reports Ability to work as part of an Agile development team with developers, product owners and QA analysts Ability to identify issues, raise and track through to resolution A technical background with analytical thinking and practical hands on test experience Experience in Web and device testing (from any sector) Ability to bench test devices using typical electronic test equipment such as DMM, oscilloscopes and function generators Full UK driving license Excellent written and spoken English Desired Skills: Experience with Azure or any cloud platform solution Experience in Telematics and testing of telematics device Working knowledge of specific HW systems such as GPS, GSM, LTE, MCU's and sensors that are common electronic components making up typical camera and telematics systems Experience with regulatory approvals and compliance for consumer and automotive products Experience with API testing and an understanding of API integration methods
Sep 01, 2025
Full time
Job Title: Test Engineer (Hardware) Location: Tunbridge Wells - Hybrid About us: VisionTrack is a multiple award-winning IOT, high-throughout / big data insurance telematics & video solution. Role: We are looking for a test engineer to join our development team in the validation and testing of the in-vehicle camera devices with our IoT platform. Reporting to our head of QA this role will focus on the user acceptance testing of the devices themselves and their operation when used in the full end to end solution. This role will suit a methodical and analytical thinker and requires an ability to perform real-world in-vehicle and on the bench testing, compile concise and accurate formal test reports and to replicate, communicate and assist in the resolution of issues that are found as a result of this testing. A full UK driving license is essential as this role will involve undertaking journeys with the devices fitted in order to validate the data accuracy as well as an ability to install and de-install the equipment to the vehicle. Essential Skills: Ability to install aftermarket equipment to vehicles for the purpose of testing Ability to document test cases and results into formal reports Ability to work as part of an Agile development team with developers, product owners and QA analysts Ability to identify issues, raise and track through to resolution A technical background with analytical thinking and practical hands on test experience Experience in Web and device testing (from any sector) Ability to bench test devices using typical electronic test equipment such as DMM, oscilloscopes and function generators Full UK driving license Excellent written and spoken English Desired Skills: Experience with Azure or any cloud platform solution Experience in Telematics and testing of telematics device Working knowledge of specific HW systems such as GPS, GSM, LTE, MCU's and sensors that are common electronic components making up typical camera and telematics systems Experience with regulatory approvals and compliance for consumer and automotive products Experience with API testing and an understanding of API integration methods