Data Engineer This role is largely remote with the occasional travel. We are seeking an experienced Data Engineer who is skilled in all toolsets in data platforms including Azure SQL, data lake, Databricks and data factory, and specialised in building high performance, highly scalable and cost-effective data solution within time and budget. We are looking to improve and centralise data and you will be responsible for tactical and strategic improvements to data flows across the Pricing and Underwriting department. This role will sit within Data Science and Machine Learning, but with close relationship with the wider Data Engineering team. Key Accountabilities & Responsibilities: Develop, maintain, and document high-quality data products using Databricks, ensuring code is performant and written to a high standard Collaborate closely with business stakeholders, data architects and the Machine Learning team to translate business requirements into technical solutions From a tactical perspective, improve the useability of data in the business: access and consolidation of data from different systems, loading of missing data, fixing of inconsistent data items, and creating a useable gold layer Implement data pipelines for business use cases, such as geographic or vehicle data updates Monitor, troubleshoot, and resolve data issues to ensure reliability and performance Support team delivery to ensure projects are completed on time Work with modern development lifecycle tools and practices, including test automation and Continuous Delivery Communicate complex technical concepts clearly to non-technical audiences Act as a positive, approachable technical lead and support other team members Maintain robust data dictionaries and dimensional data models Apply strong analytical thinking and stay up to date with existing and emerging technologies Demonstrate expertise in SQL, data warehousing, dimensional modelling, Databricks, Data Lakes, and knowledge of CDL Kingfisher, Classic data, OGI, and main PAS data sources Skills, Experience & Knowledge: Development experience in SQL programming and systems integration Strong knowledge of SQL, data modelling, data warehousing concepts, and Kimball methodology Experience within Insurance or Broking (preferred) Proven experience building and maintaining Databricks notebooks Solid understanding of the Azure data environment Experience with Python for scripting and data processing Strong project management skills, including managing multiple requests and senior stakeholders Ability to understand and translate business needs into clear technical and functional requirements High level of commercial and operational awareness of data Comfortable working in a demanding, fast-paced environment Up-to-date knowledge and hands-on experience with modern data technologies and delivery methods Why us? Markerstudy Insurance Services Limited (MISL) is one of the largest Managing General Agents in the UK. With a strong presence in the UK motor insurance market, we specialise in niche motor cover, where our solid market knowledge and experience enables us to create highly targeted products. Our success is underpinned by our underwriting strategy to identify and apply special risk factors to the customers' advantage. That, and our skilled underwriting technicians who are friendly, accessible and empowered to make decisions. We only transact business through professional UK insurance intermediaries and we take pride in fostering excellent working relationships. Our products feature prominently on Aggregators' sites, such as Confused, Go Compare and Compare the Market, via our broker partners. What we offer in return? A collaborative and fast paced work environment Health care cash plan 24 days annual leave plus Bank Holidays and the ability to buy additional leave (annual leave also increases with service) A benefit scheme that offers discounts and cashback on shopping, restaurants, travel and more Life Assurance 4x annual salary
25/03/2026
Full time
Data Engineer This role is largely remote with the occasional travel. We are seeking an experienced Data Engineer who is skilled in all toolsets in data platforms including Azure SQL, data lake, Databricks and data factory, and specialised in building high performance, highly scalable and cost-effective data solution within time and budget. We are looking to improve and centralise data and you will be responsible for tactical and strategic improvements to data flows across the Pricing and Underwriting department. This role will sit within Data Science and Machine Learning, but with close relationship with the wider Data Engineering team. Key Accountabilities & Responsibilities: Develop, maintain, and document high-quality data products using Databricks, ensuring code is performant and written to a high standard Collaborate closely with business stakeholders, data architects and the Machine Learning team to translate business requirements into technical solutions From a tactical perspective, improve the useability of data in the business: access and consolidation of data from different systems, loading of missing data, fixing of inconsistent data items, and creating a useable gold layer Implement data pipelines for business use cases, such as geographic or vehicle data updates Monitor, troubleshoot, and resolve data issues to ensure reliability and performance Support team delivery to ensure projects are completed on time Work with modern development lifecycle tools and practices, including test automation and Continuous Delivery Communicate complex technical concepts clearly to non-technical audiences Act as a positive, approachable technical lead and support other team members Maintain robust data dictionaries and dimensional data models Apply strong analytical thinking and stay up to date with existing and emerging technologies Demonstrate expertise in SQL, data warehousing, dimensional modelling, Databricks, Data Lakes, and knowledge of CDL Kingfisher, Classic data, OGI, and main PAS data sources Skills, Experience & Knowledge: Development experience in SQL programming and systems integration Strong knowledge of SQL, data modelling, data warehousing concepts, and Kimball methodology Experience within Insurance or Broking (preferred) Proven experience building and maintaining Databricks notebooks Solid understanding of the Azure data environment Experience with Python for scripting and data processing Strong project management skills, including managing multiple requests and senior stakeholders Ability to understand and translate business needs into clear technical and functional requirements High level of commercial and operational awareness of data Comfortable working in a demanding, fast-paced environment Up-to-date knowledge and hands-on experience with modern data technologies and delivery methods Why us? Markerstudy Insurance Services Limited (MISL) is one of the largest Managing General Agents in the UK. With a strong presence in the UK motor insurance market, we specialise in niche motor cover, where our solid market knowledge and experience enables us to create highly targeted products. Our success is underpinned by our underwriting strategy to identify and apply special risk factors to the customers' advantage. That, and our skilled underwriting technicians who are friendly, accessible and empowered to make decisions. We only transact business through professional UK insurance intermediaries and we take pride in fostering excellent working relationships. Our products feature prominently on Aggregators' sites, such as Confused, Go Compare and Compare the Market, via our broker partners. What we offer in return? A collaborative and fast paced work environment Health care cash plan 24 days annual leave plus Bank Holidays and the ability to buy additional leave (annual leave also increases with service) A benefit scheme that offers discounts and cashback on shopping, restaurants, travel and more Life Assurance 4x annual salary
Job title: Senior Data Scientist Locations: Manchester or Haywards Heath (hybrid working) Markerstudy Group are looking for a Senior Data Scientist to join a quickly growing company in developing ambitious solutions across a range of insurance lines, by leveraging vast data assets and state-of-the-art processing capabilities. 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. The majority of 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. 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 and machine learning teams to provide insight across the business Your ideas and solutions will enable improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market Identify and 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, retention or price optimisation Prototype ML solutions before handing to the ML team for implementation Conduct more advanced yet focused research and development to solve business challenges Work collaboratively with other teams to analyse and identify improvements to risk modelling and wider business challenges Use a wide range of data science and statistical techniques Research and leverage new and existing internal and/or external data sources Communicate results to key decision makers across the business Assist in the deployment and monitoring effort to ensure efficient implementation of the solutions created Key Skills and Experience: PhD. or masters in statistics, data science or equivalent field or Degree with number of years of relevant experience Previous experience within data science Experience in insurance pricing and modelling Experience and detailed technical knowledge of GLMs /Elastic Nets, GBMs, GAMs, Random Forests, Neural Networks and clustering techniques Knowledge of statistics and distributions commonly used in insurance Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Proficient at communicating results in a concise manner both verbally and written Behaviours: Motivated by technical excellence Driven to deliver iterative improvements in a timely fashion Team player Self-motivated with a drive to learn and develop Logical thinker with a professional and positive attitude
25/03/2026
Full time
Job title: Senior Data Scientist Locations: Manchester or Haywards Heath (hybrid working) Markerstudy Group are looking for a Senior Data Scientist to join a quickly growing company in developing ambitious solutions across a range of insurance lines, by leveraging vast data assets and state-of-the-art processing capabilities. 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. The majority of 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. 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 and machine learning teams to provide insight across the business Your ideas and solutions will enable improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market Identify and 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, retention or price optimisation Prototype ML solutions before handing to the ML team for implementation Conduct more advanced yet focused research and development to solve business challenges Work collaboratively with other teams to analyse and identify improvements to risk modelling and wider business challenges Use a wide range of data science and statistical techniques Research and leverage new and existing internal and/or external data sources Communicate results to key decision makers across the business Assist in the deployment and monitoring effort to ensure efficient implementation of the solutions created Key Skills and Experience: PhD. or masters in statistics, data science or equivalent field or Degree with number of years of relevant experience Previous experience within data science Experience in insurance pricing and modelling Experience and detailed technical knowledge of GLMs /Elastic Nets, GBMs, GAMs, Random Forests, Neural Networks and clustering techniques Knowledge of statistics and distributions commonly used in insurance Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Proficient at communicating results in a concise manner both verbally and written Behaviours: Motivated by technical excellence Driven to deliver iterative improvements in a timely fashion Team player Self-motivated with a drive to learn and develop Logical thinker with a professional and positive attitude
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 Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director 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
25/03/2026
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 Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director 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
Company Name: Markerstudy Group Role Name: Product Writer Reports to: Product Delivery Manager Hours: 09:00 to 17:00, Monday to Friday Role Purpose: You will design, develop and maintain motor, commercial, pet and household insurance products within the Landscape Product Admin, Radar MHR and bespoke coding systems by converting specifications into rating logic. You will conduct unit testing to ensure the above are delivered to a high standard and within agreed delivery timelines. Key Responsibilities: Technical Delivers accurate and efficient solutions to agreed timescales written within the Landscape Product Admin and Radar (MHR) development environments. Analyses product requirements and provides technical input regarding the feasibility of implementation for new business opportunities and product updates. Maintains products in line with business as usual processes performing bug fixes, rate updates and enhancing functionality as required. Attends project meetings and/or calls to ensure relevant stakeholders are kept informed of progress made. Converts product specifications and other information obtained into Rating Engine programs. Conducts unit testing using the Rating Engine test harness to ensure products are functioning in line with business expectation and deploying program modifications where required. Maintain historical records by updating product change logs, rate checklists and Trello. Maintains stakeholders' confidence and protects product functionality by professional and proactive approach to further developments required and raised queries. Ensures robust operation of product by implementing essential updates and system enhancements. Maintains professional and technical knowledge by attending organised workshops, demo sessions, establishing personal networks. Contributes to team / department effort by accomplishing related results as needed. Maintains knowledge of industry standards and market intelligence regarding product distribution and operation of all electronically traded products. Develops and maintains test plans and scripts for any new scheme developments and for all schemes currently live. Adheres to FCA, TCF, MID, Data Protection and other regulatory requirements. Relationship Management Maintains and develops positive and effective working relationships both internally and with our external broker, software house and system providers. Actively works with the Underwriting area helping to manage expectations with respect to new developments and error resolution. Liaises with key industry partners such as RDT, Polaris and Willis Towers Watson as needed. Key Skills and Knowledge: Programming knowledge - Strong Problem solving skills - Strong Software house and broker system knowledge - Strong Microsoft Excel - Strong. Microsoft Word - Good. Business analysis techniques - Good Negotiating skills - Good Communication skills, both oral and written - Strong Well organised and able to adhere to tight timescales. Ability to handle multiple projects at any one time. Education & Qualifications Educated to GCSE Level standard, FIT and / or relevant experience. Relevant Experience Knowledge / experience of Software House systems - desirable. Knowledge / experience of EDI message structures / practices - desirable. Have an understanding of, or able to show great willingness to learn programming / logic principles and best practice. An understanding of the software development lifecycle, in particular solution design, development, debugging and testing. Previous insurance experience - desirable. Experience of liaising with and managing external client relationships.
19/03/2026
Full time
Company Name: Markerstudy Group Role Name: Product Writer Reports to: Product Delivery Manager Hours: 09:00 to 17:00, Monday to Friday Role Purpose: You will design, develop and maintain motor, commercial, pet and household insurance products within the Landscape Product Admin, Radar MHR and bespoke coding systems by converting specifications into rating logic. You will conduct unit testing to ensure the above are delivered to a high standard and within agreed delivery timelines. Key Responsibilities: Technical Delivers accurate and efficient solutions to agreed timescales written within the Landscape Product Admin and Radar (MHR) development environments. Analyses product requirements and provides technical input regarding the feasibility of implementation for new business opportunities and product updates. Maintains products in line with business as usual processes performing bug fixes, rate updates and enhancing functionality as required. Attends project meetings and/or calls to ensure relevant stakeholders are kept informed of progress made. Converts product specifications and other information obtained into Rating Engine programs. Conducts unit testing using the Rating Engine test harness to ensure products are functioning in line with business expectation and deploying program modifications where required. Maintain historical records by updating product change logs, rate checklists and Trello. Maintains stakeholders' confidence and protects product functionality by professional and proactive approach to further developments required and raised queries. Ensures robust operation of product by implementing essential updates and system enhancements. Maintains professional and technical knowledge by attending organised workshops, demo sessions, establishing personal networks. Contributes to team / department effort by accomplishing related results as needed. Maintains knowledge of industry standards and market intelligence regarding product distribution and operation of all electronically traded products. Develops and maintains test plans and scripts for any new scheme developments and for all schemes currently live. Adheres to FCA, TCF, MID, Data Protection and other regulatory requirements. Relationship Management Maintains and develops positive and effective working relationships both internally and with our external broker, software house and system providers. Actively works with the Underwriting area helping to manage expectations with respect to new developments and error resolution. Liaises with key industry partners such as RDT, Polaris and Willis Towers Watson as needed. Key Skills and Knowledge: Programming knowledge - Strong Problem solving skills - Strong Software house and broker system knowledge - Strong Microsoft Excel - Strong. Microsoft Word - Good. Business analysis techniques - Good Negotiating skills - Good Communication skills, both oral and written - Strong Well organised and able to adhere to tight timescales. Ability to handle multiple projects at any one time. Education & Qualifications Educated to GCSE Level standard, FIT and / or relevant experience. Relevant Experience Knowledge / experience of Software House systems - desirable. Knowledge / experience of EDI message structures / practices - desirable. Have an understanding of, or able to show great willingness to learn programming / logic principles and best practice. An understanding of the software development lifecycle, in particular solution design, development, debugging and testing. Previous insurance experience - desirable. Experience of liaising with and managing external client relationships.
Senior Procurement Lead Location: Hybrid to Manchester (ideally 1-2 days per week) We are seeking a commercially minded Senior Procurement Lead to manage our digital and software categories. You will be responsible for transforming raw data into actionable sourcing strategies and managing the end-to-end lifecycle of our technology stack. This role bridges the gap between strategic sourcing and technical data enrichment, ensuring their software investments are lean, scalable, and data backed. Key Accountabilities & Responsibilities Lead the end-to-end procurement lifecycle for SaaS, PaaS, and enterprise software, managing a multi-million pound annual spend. Leverage data cleansing and enrichment tools to provide visibility into "shadow IT" and identify consolidation opportunities across the software estate. Drive the adoption of automated P2P and e-Sourcing platforms to reduce manual processing and improve cycle times. Negotiate complex Service Level Agreements (SLAs) and maintain robust relationships with Tier 1 vendors (e.g., Microsoft, Salesforce, AWS). Ensure all digital assets comply with global data privacy and security standards, mitigating risk in long-term software commitments. Build and nurture effective working relationships with senior stakeholders to proactively address issues, mitigate risks, and drive key decisions. Skills, Experience & Knowledge Experience in Technology Procurement or a similar Digital Sourcing role within financial services. Proven ability to deliver significant commercial savings through strategic benchmarking and license optimisation. Bachelor's degree in business, IT, or Supply Chain; MCIPS certification is highly preferred. A "digital-first" approach with a focus on data integrity and process efficiency. Proficient IT skills and the ability to adapt to new technologies. Promote adherence to company policies, security principles, and legal/regulatory requirements. What we offer in return? A collaborative and fast paced work environment Health care cash plan Yearly bonus scheme 25 days annual leave plus Bank Holidays and the ability to buy additional leave (annual leave also increases with service) Life Assurance 4x annual salary Vibrant, modern offices About the business: 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 £1.2b. Markerstudy also has a large and growing direct presence in the market as well. Having acquired and successfully integrated Co-op Insurance Services in 2021, BGLi in 2022 & Atlanta in 2024.
17/03/2026
Full time
Senior Procurement Lead Location: Hybrid to Manchester (ideally 1-2 days per week) We are seeking a commercially minded Senior Procurement Lead to manage our digital and software categories. You will be responsible for transforming raw data into actionable sourcing strategies and managing the end-to-end lifecycle of our technology stack. This role bridges the gap between strategic sourcing and technical data enrichment, ensuring their software investments are lean, scalable, and data backed. Key Accountabilities & Responsibilities Lead the end-to-end procurement lifecycle for SaaS, PaaS, and enterprise software, managing a multi-million pound annual spend. Leverage data cleansing and enrichment tools to provide visibility into "shadow IT" and identify consolidation opportunities across the software estate. Drive the adoption of automated P2P and e-Sourcing platforms to reduce manual processing and improve cycle times. Negotiate complex Service Level Agreements (SLAs) and maintain robust relationships with Tier 1 vendors (e.g., Microsoft, Salesforce, AWS). Ensure all digital assets comply with global data privacy and security standards, mitigating risk in long-term software commitments. Build and nurture effective working relationships with senior stakeholders to proactively address issues, mitigate risks, and drive key decisions. Skills, Experience & Knowledge Experience in Technology Procurement or a similar Digital Sourcing role within financial services. Proven ability to deliver significant commercial savings through strategic benchmarking and license optimisation. Bachelor's degree in business, IT, or Supply Chain; MCIPS certification is highly preferred. A "digital-first" approach with a focus on data integrity and process efficiency. Proficient IT skills and the ability to adapt to new technologies. Promote adherence to company policies, security principles, and legal/regulatory requirements. What we offer in return? A collaborative and fast paced work environment Health care cash plan Yearly bonus scheme 25 days annual leave plus Bank Holidays and the ability to buy additional leave (annual leave also increases with service) Life Assurance 4x annual salary Vibrant, modern offices About the business: 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 £1.2b. Markerstudy also has a large and growing direct presence in the market as well. Having acquired and successfully integrated Co-op Insurance Services in 2021, BGLi in 2022 & Atlanta in 2024.
Role: Senior CCAI Engineer (12 month FTC) Reports to: Principal CCAI Engineer This is a remote opportunity. Role Purpose: The Contact Centre AI Engineer plays a pivotal role in delivering change across the Digital Customer Contact (DCC) product suite. This includes supporting the integration and evolution of the Google CCaaS platform, in-house systems, and cloud-native services. Seniors are expected to, where appropriate, provide technical leadership, and contribute to the development of mid & junior engineers. The role includes line management responsibilities. Key Accountabilities and Responsibilities: Lead and deliver SaaS initiatives, ensuring alignment with the DCC product roadmap. Support the Principal Engineer in executing the technical strategy for the DCC SaaS product. Develop and maintain full stack solutions using .NET, JavaScript, and Python. Contribute to the design and deployment of serverless functions on Google Cloud Platform (GCP). Assist in the development of Chrome extensions to enhance agent experience. Implement secure authentication using JWT and OAuth 2.0. Support CI/CD pipeline development and maintenance for Google Cloud technologies. Collaborate with cross-functional teams to ensure successful delivery of features and integrations. Manage and support API integrations using Apigee. Participate in testing automation and quality assurance processes. Provide mentorship and technical guidance to mid & junior engineers. Where applicable, take on management responsibilities, including performance reviews and development planning. Skills, Experience, and Knowledge: Proven experience in full stack development, particularly in .NET and cloud-native environments. Hands-on experience with GCP services including Contact Centre AI, GCP Functions, and Cloud Storage. Familiarity with Chrome extension development and secure authentication protocols. Experience with CI/CD pipelines and DevOps practices. Strong understanding of API management using Apigee. Proficiency in JavaScript and Python. Exposure to Azure infrastructure and networking is a plus. Demonstrated ability to lead delivery streams and mentor team members. Excellent problem-solving, communication, and collaboration skills. Customers and Key Stakeholders: Work closely with the Principal Engineer and Head of Digital Customer Contact to align technical delivery with strategic goals. Collaborate with Contact Centre Ops Managers, IT, and Data teams. Engage with external partners and stakeholders to ensure delivery meets expectations. What we offer in return? A collaborative and fast paced work environment Health care cash plan Yearly bonus scheme 24 days annual leave plus Bank Holidays and the ability to buy additional leave (annual leave also increases with service) Life Assurance 4x annual salary Vibrant, modern offices About the business: 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 £1.2b. Markerstudy also has a large and growing direct presence in the market as well.
03/03/2026
Full time
Role: Senior CCAI Engineer (12 month FTC) Reports to: Principal CCAI Engineer This is a remote opportunity. Role Purpose: The Contact Centre AI Engineer plays a pivotal role in delivering change across the Digital Customer Contact (DCC) product suite. This includes supporting the integration and evolution of the Google CCaaS platform, in-house systems, and cloud-native services. Seniors are expected to, where appropriate, provide technical leadership, and contribute to the development of mid & junior engineers. The role includes line management responsibilities. Key Accountabilities and Responsibilities: Lead and deliver SaaS initiatives, ensuring alignment with the DCC product roadmap. Support the Principal Engineer in executing the technical strategy for the DCC SaaS product. Develop and maintain full stack solutions using .NET, JavaScript, and Python. Contribute to the design and deployment of serverless functions on Google Cloud Platform (GCP). Assist in the development of Chrome extensions to enhance agent experience. Implement secure authentication using JWT and OAuth 2.0. Support CI/CD pipeline development and maintenance for Google Cloud technologies. Collaborate with cross-functional teams to ensure successful delivery of features and integrations. Manage and support API integrations using Apigee. Participate in testing automation and quality assurance processes. Provide mentorship and technical guidance to mid & junior engineers. Where applicable, take on management responsibilities, including performance reviews and development planning. Skills, Experience, and Knowledge: Proven experience in full stack development, particularly in .NET and cloud-native environments. Hands-on experience with GCP services including Contact Centre AI, GCP Functions, and Cloud Storage. Familiarity with Chrome extension development and secure authentication protocols. Experience with CI/CD pipelines and DevOps practices. Strong understanding of API management using Apigee. Proficiency in JavaScript and Python. Exposure to Azure infrastructure and networking is a plus. Demonstrated ability to lead delivery streams and mentor team members. Excellent problem-solving, communication, and collaboration skills. Customers and Key Stakeholders: Work closely with the Principal Engineer and Head of Digital Customer Contact to align technical delivery with strategic goals. Collaborate with Contact Centre Ops Managers, IT, and Data teams. Engage with external partners and stakeholders to ensure delivery meets expectations. What we offer in return? A collaborative and fast paced work environment Health care cash plan Yearly bonus scheme 24 days annual leave plus Bank Holidays and the ability to buy additional leave (annual leave also increases with service) Life Assurance 4x annual salary Vibrant, modern offices About the business: 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 £1.2b. Markerstudy also has a large and growing direct presence in the market as well.
Graduate Product Test Analyst Manchester or Whitstable Monday - Friday: 9 am to 5 pm (Hybrid working) Role Purpose: You will be responsible for the scheduling and testing of product rates updates, fixes and new developments across a variety of product lines and systems. This will constitute a mix of excel based spreadsheets, ReadyAPI projects and direct software house unit testing. Key Responsibilities Working with the business to organise updates into sprints using our Service Now ticketing portal. Updating, running and maintaining excel-based testpacks. Reporting issues in an appropriate manner to be fixed. Analysing product updates for testing purposes. Writing and running new assertion based testing within ReadyAPI. Running unit based testing against Landscape or software house systems. Creating and/or refining testing processes. Working closely with underwriting, product writing and scheduling to maintain and improve the speed of delivery. Regular tasks Adding testing timescales to rates updates and developments. Returning testing queries to underwriting and product writing. Keeping track of testing volume and time spent on individual tickets. Essential Skills Excellent analytical skills. Responds well to critical feedback. Very strong attention to detail. Excellent time management and organisational skills Innovative and change embracing. Uses own initiative, can work independently or as part of a team as the need requires. Qualifications / Experience Essential - Excellent excel formula knowledge. Essential - Proven record of accomplishment in teamwork. Essential - Experience working under pressure with tight timescales. Desirable - ReadyAPI, Java or other coding experience. Desirable - Experience with software house front-end systems. Desirable - General motor and home insurance knowledge.
06/10/2025
Full time
Graduate Product Test Analyst Manchester or Whitstable Monday - Friday: 9 am to 5 pm (Hybrid working) Role Purpose: You will be responsible for the scheduling and testing of product rates updates, fixes and new developments across a variety of product lines and systems. This will constitute a mix of excel based spreadsheets, ReadyAPI projects and direct software house unit testing. Key Responsibilities Working with the business to organise updates into sprints using our Service Now ticketing portal. Updating, running and maintaining excel-based testpacks. Reporting issues in an appropriate manner to be fixed. Analysing product updates for testing purposes. Writing and running new assertion based testing within ReadyAPI. Running unit based testing against Landscape or software house systems. Creating and/or refining testing processes. Working closely with underwriting, product writing and scheduling to maintain and improve the speed of delivery. Regular tasks Adding testing timescales to rates updates and developments. Returning testing queries to underwriting and product writing. Keeping track of testing volume and time spent on individual tickets. Essential Skills Excellent analytical skills. Responds well to critical feedback. Very strong attention to detail. Excellent time management and organisational skills Innovative and change embracing. Uses own initiative, can work independently or as part of a team as the need requires. Qualifications / Experience Essential - Excellent excel formula knowledge. Essential - Proven record of accomplishment in teamwork. Essential - Experience working under pressure with tight timescales. Desirable - ReadyAPI, Java or other coding experience. Desirable - Experience with software house front-end systems. Desirable - General motor and home insurance knowledge.
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.
01/09/2025
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.
