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
Mar 25, 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
Data Science Manager - Property Tech - London UK High Growth B2B SaaS Hands On Data Science Manager I am working with a scaling UK PropTech business where Machine Learning and AI sit at the core of the product and commercial strategy. They are hiring a hands on Data Science Manager who can lead their Data team while remaining technically involved in modelling, production machine learning and shaping the overall AWS based data platform. This is not a pure management role. They are looking for a strong Data Scientist first, someone comfortable across the full lifecycle from ingestion and feature engineering through to modelling and deployment. Their data estate has evolved over time and is currently spread across multiple siloed systems with differing structures and standards. The platform is built on AWS, but architectural consistency is lacking. They need someone who understands what good looks like in a modern cloud native environment, can rationalise fragmented systems, and proactively define a clear data and AI roadmap. You will lead a Data team of 5-6 across Data Science and Data Engineering, raising standards while still contributing directly to predictive models and AI driven tools. This is a genuine opportunity to bring structure, clarity and technical direction to a business where data is fundamental to competitive advantage. Key areas of focus include: Designing and improving a scalable AWS data platform Creating architectural coherence across siloed systems Leading end to end machine learning from feature engineering through to production deployment Embedding robust MLOps and model performance monitoring Improving ingestion, transformation and production readiness of data Defining and owning a multi-year data and AI roadmap aligned to business growth They are looking for someone who: Has strong hands on Data Science capability Has deployed machine learning models into production, not just experimentation Is comfortable operating across data engineering and architecture discussions Has worked within messy, multi system, inconsistent data environments Brings architectural thinking, even if not formally titled Head of Architecture Has experience leading and developing a small, high impact team Is proactive, commercially aware and confident setting technical direction This is less about hiring a traditional enterprise Data Engineering leader and more about finding a technically credible, AI centric builder who can combine modelling depth, engineering awareness and leadership. Salary: £90,000 to £100,000 plus significant equity. Location: London - Hybrid working 2 to 3 days in the office when needed, with a flexible and pragmatic approach. This is an opportunity to shape a modern, AI driven data capability on AWS within a scaling SaaS business where data underpins product differentiation. You will have genuine ownership, leadership visibility and meaningful equity upside. If you are a technically strong Data Science leader who enjoys solving architectural complexity and building high performing teams, please APPLY NOW.
Mar 25, 2026
Full time
Data Science Manager - Property Tech - London UK High Growth B2B SaaS Hands On Data Science Manager I am working with a scaling UK PropTech business where Machine Learning and AI sit at the core of the product and commercial strategy. They are hiring a hands on Data Science Manager who can lead their Data team while remaining technically involved in modelling, production machine learning and shaping the overall AWS based data platform. This is not a pure management role. They are looking for a strong Data Scientist first, someone comfortable across the full lifecycle from ingestion and feature engineering through to modelling and deployment. Their data estate has evolved over time and is currently spread across multiple siloed systems with differing structures and standards. The platform is built on AWS, but architectural consistency is lacking. They need someone who understands what good looks like in a modern cloud native environment, can rationalise fragmented systems, and proactively define a clear data and AI roadmap. You will lead a Data team of 5-6 across Data Science and Data Engineering, raising standards while still contributing directly to predictive models and AI driven tools. This is a genuine opportunity to bring structure, clarity and technical direction to a business where data is fundamental to competitive advantage. Key areas of focus include: Designing and improving a scalable AWS data platform Creating architectural coherence across siloed systems Leading end to end machine learning from feature engineering through to production deployment Embedding robust MLOps and model performance monitoring Improving ingestion, transformation and production readiness of data Defining and owning a multi-year data and AI roadmap aligned to business growth They are looking for someone who: Has strong hands on Data Science capability Has deployed machine learning models into production, not just experimentation Is comfortable operating across data engineering and architecture discussions Has worked within messy, multi system, inconsistent data environments Brings architectural thinking, even if not formally titled Head of Architecture Has experience leading and developing a small, high impact team Is proactive, commercially aware and confident setting technical direction This is less about hiring a traditional enterprise Data Engineering leader and more about finding a technically credible, AI centric builder who can combine modelling depth, engineering awareness and leadership. Salary: £90,000 to £100,000 plus significant equity. Location: London - Hybrid working 2 to 3 days in the office when needed, with a flexible and pragmatic approach. This is an opportunity to shape a modern, AI driven data capability on AWS within a scaling SaaS business where data underpins product differentiation. You will have genuine ownership, leadership visibility and meaningful equity upside. If you are a technically strong Data Science leader who enjoys solving architectural complexity and building high performing teams, please APPLY NOW.
Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We're thrilled to announce that Envitia has been named one of Sunday Times Top 100 Medium-Sized Companies to Work For in 2025 - a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Scientist to join our Security and Intelligence consulting team and will be responsible for designing, developing and delivering advanced analytics and machine learning capabilities within secure government environments. The role focuses on applying data science and AI techniques to operational intelligence challenges, including large-scale data analysis, predictive modelling, pattern recognition, and automated decision support. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, software engineers, mission analysts and operational users to develop and deploy analytics solutions that enable insight and mission advantage. Typical engagements include: Intelligence data exploitation and advanced analytics ML model development and optimisation Natural Language Processing (NLP), data matching and pattern detection Data triage and automated analysis of large datasets Operational decision-support systems Job Responsibilities Design, develop and deploy AI and machine learning solutions to analyse complex structured and unstructured data. Build and maintain scalable data and AI/ML pipelines to support advanced analytics and automated insight generation. Apply a range of data science techniques including machine learning, statistical modelling, deep learning, NLP, graph analytics and time series analysis. Prepare, transform and integrate large, multi-source datasets (e.g. sensor, geospatial and communications data) for analytics and model development. Develop predictive models, prototypes and proof of concept solutions to identify patterns, trends and anomalies. Implement, train, tune and validate models within secure, production grade environments. Collaborate closely with data engineers, software engineers and platform teams to deploy solutions into operational systems. Develop dashboards, visualisations and analytical tools to communicate insights to technical and non-technical stakeholders. Provide technical leadership and contribute to AI/ML strategy, best practice and capability roadmaps. Skills Required Experience working in secure or highly regulated environments, with an understanding of handling sensitive or classified data. Strong knowledge of modern data science and machine learning techniques, including supervised and unsupervised learning. Proficiency in the Python data science ecosystem (e.g. NumPy, Pandas, scikit learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands on experience with Natural Language Processing, graph analytics and advanced analytical methods. Experience using cloud analytics platforms, with strong AWS and native tooling expertise. Data visualisation skills and experience communicating insights through analytical tools and dashboards. Ability to work closely with users and stakeholders to understand real-world problems and translate complex analysis into actionable insight. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations - Gloucester, London, Manchester (based on project requirements). What's in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well being. More time for you: Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most. Private Medical Insurance: We've got you covered with comprehensive private healthcare, including family options for added peace of mind. Security Clearance Bonus: Up to £5,000 year Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you're always learning, growing and staying ahead of the curve. Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness related expenses. Life Assurance: Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present. Smarter Retirement Planning: Plan for your future with our pension options and resources to help build a secure financial foundation. Perkbox: Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services. Recognition that counts: Great work doesn't go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine. Give back and get involved: Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work life balance. If you require any accommodations during the application or interview process, please let us know.
Mar 20, 2026
Full time
Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We're thrilled to announce that Envitia has been named one of Sunday Times Top 100 Medium-Sized Companies to Work For in 2025 - a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Scientist to join our Security and Intelligence consulting team and will be responsible for designing, developing and delivering advanced analytics and machine learning capabilities within secure government environments. The role focuses on applying data science and AI techniques to operational intelligence challenges, including large-scale data analysis, predictive modelling, pattern recognition, and automated decision support. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, software engineers, mission analysts and operational users to develop and deploy analytics solutions that enable insight and mission advantage. Typical engagements include: Intelligence data exploitation and advanced analytics ML model development and optimisation Natural Language Processing (NLP), data matching and pattern detection Data triage and automated analysis of large datasets Operational decision-support systems Job Responsibilities Design, develop and deploy AI and machine learning solutions to analyse complex structured and unstructured data. Build and maintain scalable data and AI/ML pipelines to support advanced analytics and automated insight generation. Apply a range of data science techniques including machine learning, statistical modelling, deep learning, NLP, graph analytics and time series analysis. Prepare, transform and integrate large, multi-source datasets (e.g. sensor, geospatial and communications data) for analytics and model development. Develop predictive models, prototypes and proof of concept solutions to identify patterns, trends and anomalies. Implement, train, tune and validate models within secure, production grade environments. Collaborate closely with data engineers, software engineers and platform teams to deploy solutions into operational systems. Develop dashboards, visualisations and analytical tools to communicate insights to technical and non-technical stakeholders. Provide technical leadership and contribute to AI/ML strategy, best practice and capability roadmaps. Skills Required Experience working in secure or highly regulated environments, with an understanding of handling sensitive or classified data. Strong knowledge of modern data science and machine learning techniques, including supervised and unsupervised learning. Proficiency in the Python data science ecosystem (e.g. NumPy, Pandas, scikit learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands on experience with Natural Language Processing, graph analytics and advanced analytical methods. Experience using cloud analytics platforms, with strong AWS and native tooling expertise. Data visualisation skills and experience communicating insights through analytical tools and dashboards. Ability to work closely with users and stakeholders to understand real-world problems and translate complex analysis into actionable insight. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations - Gloucester, London, Manchester (based on project requirements). What's in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well being. More time for you: Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most. Private Medical Insurance: We've got you covered with comprehensive private healthcare, including family options for added peace of mind. Security Clearance Bonus: Up to £5,000 year Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you're always learning, growing and staying ahead of the curve. Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness related expenses. Life Assurance: Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present. Smarter Retirement Planning: Plan for your future with our pension options and resources to help build a secure financial foundation. Perkbox: Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services. Recognition that counts: Great work doesn't go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine. Give back and get involved: Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work life balance. If you require any accommodations during the application or interview process, please let us know.
Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We're thrilled to announce that Envitia has been named one of Sunday Times Top 100 Medium-Sized Companies to Work For in 2025 - a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Scientist to join our Security and Intelligence consulting team and will be responsible for designing, developing and delivering advanced analytics and machine learning capabilities within secure government environments. The role focuses on applying data science and AI techniques to operational intelligence challenges, including large-scale data analysis, predictive modelling, pattern recognition, and automated decision support. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, software engineers, mission analysts and operational users to develop and deploy analytics solutions that enable insight and mission advantage. Typical engagements include: Intelligence data exploitation and advanced analytics ML model development and optimisation Natural Language Processing (NLP), data matching and pattern detection Data triage and automated analysis of large datasets Operational decision-support systems Job Responsibilities Design, develop and deploy AI and machine learning solutions to analyse complex structured and unstructured data. Build and maintain scalable data and AI/ML pipelines to support advanced analytics and automated insight generation. Apply a range of data science techniques including machine learning, statistical modelling, deep learning, NLP, graph analytics and time series analysis. Prepare, transform and integrate large, multi-source datasets (e.g. sensor, geospatial and communications data) for analytics and model development. Develop predictive models, prototypes and proof of concept solutions to identify patterns, trends and anomalies. Implement, train, tune and validate models within secure, production grade environments. Collaborate closely with data engineers, software engineers and platform teams to deploy solutions into operational systems. Develop dashboards, visualisations and analytical tools to communicate insights to technical and non-technical stakeholders. Provide technical leadership and contribute to AI/ML strategy, best practice and capability roadmaps. Skills Required Experience working in secure or highly regulated environments, with an understanding of handling sensitive or classified data. Strong knowledge of modern data science and machine learning techniques, including supervised and unsupervised learning. Proficiency in the Python data science ecosystem (e.g. NumPy, Pandas, scikit learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands on experience with Natural Language Processing, graph analytics and advanced analytical methods. Experience using cloud analytics platforms, with strong AWS and native tooling expertise. Data visualisation skills and experience communicating insights through analytical tools and dashboards. Ability to work closely with users and stakeholders to understand real-world problems and translate complex analysis into actionable insight. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations - Gloucester, London, Manchester (based on project requirements). What's in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well being. More time for you: Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most. Private Medical Insurance: We've got you covered with comprehensive private healthcare, including family options for added peace of mind. Security Clearance Bonus: Up to £5,000 year Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you're always learning, growing and staying ahead of the curve. Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness related expenses. Life Assurance: Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present. Smarter Retirement Planning: Plan for your future with our pension options and resources to help build a secure financial foundation. Perkbox: Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services. Recognition that counts: Great work doesn't go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine. Give back and get involved: Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work life balance. If you require any accommodations during the application or interview process, please let us know.
Mar 19, 2026
Full time
Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We're thrilled to announce that Envitia has been named one of Sunday Times Top 100 Medium-Sized Companies to Work For in 2025 - a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Scientist to join our Security and Intelligence consulting team and will be responsible for designing, developing and delivering advanced analytics and machine learning capabilities within secure government environments. The role focuses on applying data science and AI techniques to operational intelligence challenges, including large-scale data analysis, predictive modelling, pattern recognition, and automated decision support. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, software engineers, mission analysts and operational users to develop and deploy analytics solutions that enable insight and mission advantage. Typical engagements include: Intelligence data exploitation and advanced analytics ML model development and optimisation Natural Language Processing (NLP), data matching and pattern detection Data triage and automated analysis of large datasets Operational decision-support systems Job Responsibilities Design, develop and deploy AI and machine learning solutions to analyse complex structured and unstructured data. Build and maintain scalable data and AI/ML pipelines to support advanced analytics and automated insight generation. Apply a range of data science techniques including machine learning, statistical modelling, deep learning, NLP, graph analytics and time series analysis. Prepare, transform and integrate large, multi-source datasets (e.g. sensor, geospatial and communications data) for analytics and model development. Develop predictive models, prototypes and proof of concept solutions to identify patterns, trends and anomalies. Implement, train, tune and validate models within secure, production grade environments. Collaborate closely with data engineers, software engineers and platform teams to deploy solutions into operational systems. Develop dashboards, visualisations and analytical tools to communicate insights to technical and non-technical stakeholders. Provide technical leadership and contribute to AI/ML strategy, best practice and capability roadmaps. Skills Required Experience working in secure or highly regulated environments, with an understanding of handling sensitive or classified data. Strong knowledge of modern data science and machine learning techniques, including supervised and unsupervised learning. Proficiency in the Python data science ecosystem (e.g. NumPy, Pandas, scikit learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands on experience with Natural Language Processing, graph analytics and advanced analytical methods. Experience using cloud analytics platforms, with strong AWS and native tooling expertise. Data visualisation skills and experience communicating insights through analytical tools and dashboards. Ability to work closely with users and stakeholders to understand real-world problems and translate complex analysis into actionable insight. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations - Gloucester, London, Manchester (based on project requirements). What's in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well being. More time for you: Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most. Private Medical Insurance: We've got you covered with comprehensive private healthcare, including family options for added peace of mind. Security Clearance Bonus: Up to £5,000 year Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you're always learning, growing and staying ahead of the curve. Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness related expenses. Life Assurance: Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present. Smarter Retirement Planning: Plan for your future with our pension options and resources to help build a secure financial foundation. Perkbox: Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services. Recognition that counts: Great work doesn't go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine. Give back and get involved: Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work life balance. If you require any accommodations during the application or interview process, please let us know.
As one of the Best Big Companies to Work For, we have a rich history of loving our customers and looking after our teams. We understand that success is achieved through our people, and we are searching for a Head of Retail and Customer Insights to join our growing online business. Purpose of the role: To lead our customer insight, market intelligence and advanced analytics function. Scope of the role: Key leader responsible for transforming complex data into powerful insights that shape commercial decisions, improve customer experience and accelerate our growth. The role requires a unique blend of data expertise, strategic thinking and creative problem solving, leveraging AI and machine learning to unlock value from large and evolving data sets. Oversee a multidisciplinary insight team, providing leadership across customer analytics, market research, segmentation, predictive modelling and customer lifetime value. Key Responsibilities: Lead the end-to-end customer insight strategy across the organisation, ensuring a deep, real-time understanding of shopping behaviours, needs, motivations, and trends. Own the integration and interpretation ofexternal market data, competitor intelligence, industry trends, and macroeconomic influences. Oversee continuous and ad hoc research programmes (qualitative and quantitative), customer panels, and brand tracking. Drive the development of advancedcustomer models, including segmentation, propensity models, churn prediction and customer lifetime value. Use AI and machine learning tools to analyse large, complex data sets and scale automated insight generation. Partner with data engineering teams to ensure robust data pipelines, governance, and data quality. Translate data driven insights into compelling narratives and actionable strategies for senior leadership, commercial teams, and store operations. Influence decision making in key areas such as pricing, promotions, marketing, loyalty, product range, personalisation, and digital experience. Foster a culture of experimentation, data literacy, and customer centric thinking across the organisation. Lead, develop, and mentor a high performing team of customer insight specialists, analysts, data scientists, and researchers. Champion innovation and new methodologies in research, analytics, and AI adoption. Our Values We love our customers: You are curious - you are open minded, take risks, fail fast and learn quick We look after our own - Your are authentic - You use your strengths , are genuine & consistent We work together - You are collaborative - You work cross functionally, build external relationships We hate waste: - You are influential - You set the direction, you shape the plan We Care: You are brave - You make tough decisions for the greater good A competitive salary with an excellent benefits package
Mar 05, 2026
Full time
As one of the Best Big Companies to Work For, we have a rich history of loving our customers and looking after our teams. We understand that success is achieved through our people, and we are searching for a Head of Retail and Customer Insights to join our growing online business. Purpose of the role: To lead our customer insight, market intelligence and advanced analytics function. Scope of the role: Key leader responsible for transforming complex data into powerful insights that shape commercial decisions, improve customer experience and accelerate our growth. The role requires a unique blend of data expertise, strategic thinking and creative problem solving, leveraging AI and machine learning to unlock value from large and evolving data sets. Oversee a multidisciplinary insight team, providing leadership across customer analytics, market research, segmentation, predictive modelling and customer lifetime value. Key Responsibilities: Lead the end-to-end customer insight strategy across the organisation, ensuring a deep, real-time understanding of shopping behaviours, needs, motivations, and trends. Own the integration and interpretation ofexternal market data, competitor intelligence, industry trends, and macroeconomic influences. Oversee continuous and ad hoc research programmes (qualitative and quantitative), customer panels, and brand tracking. Drive the development of advancedcustomer models, including segmentation, propensity models, churn prediction and customer lifetime value. Use AI and machine learning tools to analyse large, complex data sets and scale automated insight generation. Partner with data engineering teams to ensure robust data pipelines, governance, and data quality. Translate data driven insights into compelling narratives and actionable strategies for senior leadership, commercial teams, and store operations. Influence decision making in key areas such as pricing, promotions, marketing, loyalty, product range, personalisation, and digital experience. Foster a culture of experimentation, data literacy, and customer centric thinking across the organisation. Lead, develop, and mentor a high performing team of customer insight specialists, analysts, data scientists, and researchers. Champion innovation and new methodologies in research, analytics, and AI adoption. Our Values We love our customers: You are curious - you are open minded, take risks, fail fast and learn quick We look after our own - Your are authentic - You use your strengths , are genuine & consistent We work together - You are collaborative - You work cross functionally, build external relationships We hate waste: - You are influential - You set the direction, you shape the plan We Care: You are brave - You make tough decisions for the greater good A competitive salary with an excellent benefits package
Head of Data Science Salary: £115K - £125K + bonus Location: Manchester 2-4 days a month The Opportunity We're working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline. As Head of Data Science, you'll lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practices Credibility to lead long tenured individual contributors, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details.
Mar 03, 2026
Full time
Head of Data Science Salary: £115K - £125K + bonus Location: Manchester 2-4 days a month The Opportunity We're working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline. As Head of Data Science, you'll lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practices Credibility to lead long tenured individual contributors, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details.
