Location: Holborn, London Office Policy: 3 days in person, 2 days at home each week Who We Are: At Omaze, we give our community in the UK and Germany the chance to win luxury homes and other life-changing prizes - all while raising money for the causes they love. Thanks to our Omaze Community, we've raised over £100 million for UK charities in just five years. That's millions helping organisations like Age UK, the RSPCA, British Heart Foundation and Great Ormond Street Hospital Charity deliver life-saving work. And the best part? We're only just getting started. Omaze is building a business and culture committed to growth and creating significant social impact on a global scale. About The Job As a Staff Data Engineer at Omaze, you will be a key member of Omaze's lean data function. Reporting into the Director of Data Platforms, you're at your best designing pipelines, modelling foundational datasets, and embedding quality and observability into infrastructure that people genuinely trust. You bring strong judgement to architectural decisions, raise the bar through example, and create leverage for analytics engineers, data scientists, and stakeholders across Omaze. You embrace AI assisted and agentic coding as part of how modern engineering gets done and apply it with the same judgement and rigour you bring to everything else. What You'll Be Doing Build and maintain robust ingestion and processing pipelines from our product systems, third party tools, and external partners, using modern, well tested code that holds up as the business changes Build the data quality, observability, and lineage frameworks that make decision critical datasets trustworthy, and make problems easy to find and fix when they happen Work with engineers across the organisation to ensure that events are properly constructed, with the right parameters and nomenclature, so that the data flowing into our platform is trustworthy by design, not by accident (potentially through data contracts) Ensure that data pipelines to external sources (e.g. paid marketing channels such as Meta) are reliably sharing appropriate, compliant data Lay the foundations to support data science and ML work as it grows, e.g. feature pipelines, training datasets, and the platform capabilities that make those things easy when we want them Make the cost of running our data platform visible and well understood, pushing for efficiency in the places it makes sense, and bringing judgement to when ongoing spend is justified by the value it returns Generally take responsibility for data governance and compliance, ensuring that how we collect, store, and use data is responsible, secure, and meets the regulatory bar Omaze operates at Use AI assisted and agentic coding tools as a natural part of your workflow; knowing when they add leverage, when to interrogate their output, and how to review AI generated code with the same rigour you'd apply to anything else. About You Extensive data engineering experience, with extensive experience across industry standard data warehousing software (e.g. Databricks, Snowflake, etc.) and server side tech (e.g. Typescript, DynamoDB, AWS Lambda, API Gateway and AWS CDK) Hands on experience with modern orchestration tooling (Airflow, Dagster, etc.), ingestion tooling such as Fivetran (and experience building out custom scripts when the right off the shelf connector doesn't exist) A track record of building data quality, testing, and observability into platforms, not bolting them on afterwards An understanding of data architecture strategies that can scale with the business for the next 4 years (not just the next 4 weeks!) Experience supporting ML workflows / laying the data foundations for them The ability to bar raise through code review, mentorship, and the standards you set - not because you're told to, but because you understand why they matter What's In It For You Generous stock options scheme 25 days annual leave PLUS Bank Holidays Private medical and dental insurance 9% employer pension contributions, when you contribute at least 2% A generous personal learning and development budget each year to use on training courses, conferences and professional memberships Personal equipment budget to work from home Enhanced family leave policies Life assurance of 4x your salary DEI Statement We actively seek out diversity of thought and experience to drive innovation. We welcome all backgrounds, identities, and perspectives and work hard to ensure that every Omaze employee can bring their authentic self to work at all times.
13/06/2026
Full time
Location: Holborn, London Office Policy: 3 days in person, 2 days at home each week Who We Are: At Omaze, we give our community in the UK and Germany the chance to win luxury homes and other life-changing prizes - all while raising money for the causes they love. Thanks to our Omaze Community, we've raised over £100 million for UK charities in just five years. That's millions helping organisations like Age UK, the RSPCA, British Heart Foundation and Great Ormond Street Hospital Charity deliver life-saving work. And the best part? We're only just getting started. Omaze is building a business and culture committed to growth and creating significant social impact on a global scale. About The Job As a Staff Data Engineer at Omaze, you will be a key member of Omaze's lean data function. Reporting into the Director of Data Platforms, you're at your best designing pipelines, modelling foundational datasets, and embedding quality and observability into infrastructure that people genuinely trust. You bring strong judgement to architectural decisions, raise the bar through example, and create leverage for analytics engineers, data scientists, and stakeholders across Omaze. You embrace AI assisted and agentic coding as part of how modern engineering gets done and apply it with the same judgement and rigour you bring to everything else. What You'll Be Doing Build and maintain robust ingestion and processing pipelines from our product systems, third party tools, and external partners, using modern, well tested code that holds up as the business changes Build the data quality, observability, and lineage frameworks that make decision critical datasets trustworthy, and make problems easy to find and fix when they happen Work with engineers across the organisation to ensure that events are properly constructed, with the right parameters and nomenclature, so that the data flowing into our platform is trustworthy by design, not by accident (potentially through data contracts) Ensure that data pipelines to external sources (e.g. paid marketing channels such as Meta) are reliably sharing appropriate, compliant data Lay the foundations to support data science and ML work as it grows, e.g. feature pipelines, training datasets, and the platform capabilities that make those things easy when we want them Make the cost of running our data platform visible and well understood, pushing for efficiency in the places it makes sense, and bringing judgement to when ongoing spend is justified by the value it returns Generally take responsibility for data governance and compliance, ensuring that how we collect, store, and use data is responsible, secure, and meets the regulatory bar Omaze operates at Use AI assisted and agentic coding tools as a natural part of your workflow; knowing when they add leverage, when to interrogate their output, and how to review AI generated code with the same rigour you'd apply to anything else. About You Extensive data engineering experience, with extensive experience across industry standard data warehousing software (e.g. Databricks, Snowflake, etc.) and server side tech (e.g. Typescript, DynamoDB, AWS Lambda, API Gateway and AWS CDK) Hands on experience with modern orchestration tooling (Airflow, Dagster, etc.), ingestion tooling such as Fivetran (and experience building out custom scripts when the right off the shelf connector doesn't exist) A track record of building data quality, testing, and observability into platforms, not bolting them on afterwards An understanding of data architecture strategies that can scale with the business for the next 4 years (not just the next 4 weeks!) Experience supporting ML workflows / laying the data foundations for them The ability to bar raise through code review, mentorship, and the standards you set - not because you're told to, but because you understand why they matter What's In It For You Generous stock options scheme 25 days annual leave PLUS Bank Holidays Private medical and dental insurance 9% employer pension contributions, when you contribute at least 2% A generous personal learning and development budget each year to use on training courses, conferences and professional memberships Personal equipment budget to work from home Enhanced family leave policies Life assurance of 4x your salary DEI Statement We actively seek out diversity of thought and experience to drive innovation. We welcome all backgrounds, identities, and perspectives and work hard to ensure that every Omaze employee can bring their authentic self to work at all times.
Location London Employment Type Full time Location Type Hybrid Department Growth Location: Holborn, London Office Policy: 3 days in person, 2 days at home each week Who We Are: At Omaze, we give our community in the UK and Germany the chance to win luxury homes and other life changing prizes - all while raising money for the causes they love. Thanks to our Omaze Community, we've raised over £100 million for UK charities in just five years. That's millions helping organisations like Age UK, the RSPCA, British Heart Foundation and Great Ormond Street Hospital Charity deliver life saving work. And the best part? We're only just getting started. Omaze is building a business and culture committed to growth and creating significant social impact on a global scale. About The Job As a Staff Data Engineer at Omaze, you will be a key member of Omaze's lean data function. Reporting into the Director of Data Platforms, you're at your best designing pipelines, modelling foundational datasets, and embedding quality and observability into infrastructure that people genuinely trust. You bring strong judgement to architectural decisions, raise the bar through example, and create leverage for analytics engineers, data scientists, and stakeholders across Omaze. You embrace AI assisted and agentic coding as part of how modern engineering gets done and apply it with the same judgement and rigour you bring to everything else. What You'll Be Doing Build and maintain robust ingestion and processing pipelines from our product systems, third party tools, and external partners, using modern, well tested code that holds up as the business changes. Build the data quality, observability, and lineage frameworks that make decision critical datasets trustworthy, and make problems easy to find and fix when they happen. Work with engineers across the organisation to ensure that events are properly constructed, with the right parameters and nomenclature, so that the data flowing into our platform is trustworthy by design, not by accident (potentially through data contracts). Ensure that data pipelines to external sources (e.g. paid marketing channels such as Meta) are reliably sharing appropriate, compliant data. Lay the foundations to support data science and ML work as it grows, e.g. feature pipelines, training datasets, and the platform capabilities that make those things easy when we want them. Make the cost of running our data platform visible and well understood, pushing for efficiency in the places it makes sense, and bringing judgement to when ongoing spend is justified by the value it returns. Generally take responsibility for data governance and compliance, ensuring that how we collect, store, and use data is responsible, secure, and meets the regulatory bar Omaze operates at. Use AI assisted and agentic coding tools as a natural part of your workflow; knowing when they add leverage, when to interrogate their output, and how to review AI generated code with the same rigour you'd apply to anything else. About You Extensive data engineering experience, with extensive experience across industry standard data warehousing software (e.g. Databricks, Snowflake, etc.) and server side tech (e.g. Typescript, DynamoDB, AWS Lambda, API Gateway and AWS CDK). Hands on experience with modern orchestration tooling (Aiflow, Dagster, etc.), ingestion tooling such as Fivetran (and experience building out custom scripts when the right off the shelf connector doesn't exist). A track record of building data quality, testing, and observability into platforms, not bolting them on afterwards. An understanding of data architecture strategies that can scale with the business for the next 4 years (not just the next 4 weeks!). Experience supporting ML workflows / laying the data foundations for them. The ability to bar raise through code review, mentorship, and the standards you set - not because you're told to, but because you understand why they matter. What's In It For You Generous stock options scheme. 25 days annual leave PLUS Bank Holidays. Private medical and dental insurance. 9% employer pension contributions, when you contribute at least 2%. A generous personal learning and development budget each year to use on training courses, conferences and professional memberships. Personal equipment budget to work from home. Enhanced family leave policies. Life assurance of 4x your salary. DEI Statement We actively seek out diversity of thought and experience to drive innovation. We welcome all backgrounds, identities, and perspectives and work hard to ensure that every Omaze employee can bring their authentic self to work at all times.
13/06/2026
Full time
Location London Employment Type Full time Location Type Hybrid Department Growth Location: Holborn, London Office Policy: 3 days in person, 2 days at home each week Who We Are: At Omaze, we give our community in the UK and Germany the chance to win luxury homes and other life changing prizes - all while raising money for the causes they love. Thanks to our Omaze Community, we've raised over £100 million for UK charities in just five years. That's millions helping organisations like Age UK, the RSPCA, British Heart Foundation and Great Ormond Street Hospital Charity deliver life saving work. And the best part? We're only just getting started. Omaze is building a business and culture committed to growth and creating significant social impact on a global scale. About The Job As a Staff Data Engineer at Omaze, you will be a key member of Omaze's lean data function. Reporting into the Director of Data Platforms, you're at your best designing pipelines, modelling foundational datasets, and embedding quality and observability into infrastructure that people genuinely trust. You bring strong judgement to architectural decisions, raise the bar through example, and create leverage for analytics engineers, data scientists, and stakeholders across Omaze. You embrace AI assisted and agentic coding as part of how modern engineering gets done and apply it with the same judgement and rigour you bring to everything else. What You'll Be Doing Build and maintain robust ingestion and processing pipelines from our product systems, third party tools, and external partners, using modern, well tested code that holds up as the business changes. Build the data quality, observability, and lineage frameworks that make decision critical datasets trustworthy, and make problems easy to find and fix when they happen. Work with engineers across the organisation to ensure that events are properly constructed, with the right parameters and nomenclature, so that the data flowing into our platform is trustworthy by design, not by accident (potentially through data contracts). Ensure that data pipelines to external sources (e.g. paid marketing channels such as Meta) are reliably sharing appropriate, compliant data. Lay the foundations to support data science and ML work as it grows, e.g. feature pipelines, training datasets, and the platform capabilities that make those things easy when we want them. Make the cost of running our data platform visible and well understood, pushing for efficiency in the places it makes sense, and bringing judgement to when ongoing spend is justified by the value it returns. Generally take responsibility for data governance and compliance, ensuring that how we collect, store, and use data is responsible, secure, and meets the regulatory bar Omaze operates at. Use AI assisted and agentic coding tools as a natural part of your workflow; knowing when they add leverage, when to interrogate their output, and how to review AI generated code with the same rigour you'd apply to anything else. About You Extensive data engineering experience, with extensive experience across industry standard data warehousing software (e.g. Databricks, Snowflake, etc.) and server side tech (e.g. Typescript, DynamoDB, AWS Lambda, API Gateway and AWS CDK). Hands on experience with modern orchestration tooling (Aiflow, Dagster, etc.), ingestion tooling such as Fivetran (and experience building out custom scripts when the right off the shelf connector doesn't exist). A track record of building data quality, testing, and observability into platforms, not bolting them on afterwards. An understanding of data architecture strategies that can scale with the business for the next 4 years (not just the next 4 weeks!). Experience supporting ML workflows / laying the data foundations for them. The ability to bar raise through code review, mentorship, and the standards you set - not because you're told to, but because you understand why they matter. What's In It For You Generous stock options scheme. 25 days annual leave PLUS Bank Holidays. Private medical and dental insurance. 9% employer pension contributions, when you contribute at least 2%. A generous personal learning and development budget each year to use on training courses, conferences and professional memberships. Personal equipment budget to work from home. Enhanced family leave policies. Life assurance of 4x your salary. DEI Statement We actively seek out diversity of thought and experience to drive innovation. We welcome all backgrounds, identities, and perspectives and work hard to ensure that every Omaze employee can bring their authentic self to work at all times.
Lead Data Scientist Pay of up £92,522, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. We want to hire a new Lead Data Scientist. If you're skilled at harnessing data and applying advanced analytics to improve outcomes and excited by the prospect of using data and technology at scale in innovative ways to solve complex problems we'd love to hear from you. DWP Digital provides inspiring career opportunities for people who are passionate about creating meaningful impact. As the Lead Data Scientist for Working Age Services, you will lead a high-performing analytical team helping to improve outcomes for claimants and agents. You'll use data science to inform the design, deliver and evaluation of Working Age digital services. Working closely with the Working Age Services Data Lead and Delivery Lead, you will collaborate with cross-disciplinary development teams to understand their data needs and ensure these are effectively met through strong engagement with the Data and Analytics platform team. DWP. Digital with Purpose. What skills, knowledge and experience will you need? Demonstrable experience of leading high-performing, multi-disciplinary teams that deliver analytics and insights at pace, effectively supporting project, programme and business outcomes. Strong working knowledge of a broad range of data science techniques including a clear understanding of their appropriate application alongside a commitment to remaining current with emerging industry developments and practices. Proven ability to build and maintain trusted relationships with peers and senior stakeholders including colleagues across digital, operations and policy in order to understand requirements and maximise value delivery. Evidenced capability in establishing standards and best practices for teams including implementing appropriate safeguards to ensure compliance with privacy, security and data protection principles as well as addressing ethical considerations such as unintended bias. Demonstrable contribution to leadership within the professional community including shaping recruitment strategies, supporting career progression and contributing to wider Digital Practice initiatives. Proven ability to create an inclusive and diverse working environment in which individuals feel safe to challenge, are confident their perspectives will be heard and are supported to take initiative and develop professionally. A degree or higher in STEM (Science, Technology, Engineering, or Mathematics) is essential for this role, and evidence of qualification will be requested. You and your role As a Lead Data Scientist, you will shape analytics, insight and evidence for Working Age Services - the part of DWP that supports millions of people of working age through services such as Universal Credit, helping them access financial support, employment opportunities and essential services. You will lead and develop a high-performing team, applying advanced analytical and data science methods. You will align your team's work with the DWP Data and AI strategies, ensuring effective use of central platforms, standards and capabilities. You will be accountable for the quality and impact of analytical outputs - from experimentation and evaluation approaches through to reporting and machine learning applications - ensuring they drive measurable improvements for citizens and DWP colleagues. Working closely with senior stakeholders across digital, operations and policy, you will influence how performance is measured, improve data quality, and embed a stronger culture of evidence-based decision-making. You will also set the standard for responsible data science - maintaining robust governance around privacy, security and data protection, and proactively addressing ethical considerations such as bias. As a senior leader in the profession, you will contribute to building an inclusive, high-performing community by supporting recruitment, developing talent, and helping shape the wider Digital Practice. Please note that the role may involve travel to other digital hubs, with frequency discussed if you are successful. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Leeds, Manchester, Newcastle or Sheffield. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer competitive pay of up to £92,522. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £23,253 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through.Interview: a single stage interview online. CLICK APPLY for more information and to start your application. JBRP1_UKTJ
08/06/2026
Full time
Lead Data Scientist Pay of up £92,522, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. We want to hire a new Lead Data Scientist. If you're skilled at harnessing data and applying advanced analytics to improve outcomes and excited by the prospect of using data and technology at scale in innovative ways to solve complex problems we'd love to hear from you. DWP Digital provides inspiring career opportunities for people who are passionate about creating meaningful impact. As the Lead Data Scientist for Working Age Services, you will lead a high-performing analytical team helping to improve outcomes for claimants and agents. You'll use data science to inform the design, deliver and evaluation of Working Age digital services. Working closely with the Working Age Services Data Lead and Delivery Lead, you will collaborate with cross-disciplinary development teams to understand their data needs and ensure these are effectively met through strong engagement with the Data and Analytics platform team. DWP. Digital with Purpose. What skills, knowledge and experience will you need? Demonstrable experience of leading high-performing, multi-disciplinary teams that deliver analytics and insights at pace, effectively supporting project, programme and business outcomes. Strong working knowledge of a broad range of data science techniques including a clear understanding of their appropriate application alongside a commitment to remaining current with emerging industry developments and practices. Proven ability to build and maintain trusted relationships with peers and senior stakeholders including colleagues across digital, operations and policy in order to understand requirements and maximise value delivery. Evidenced capability in establishing standards and best practices for teams including implementing appropriate safeguards to ensure compliance with privacy, security and data protection principles as well as addressing ethical considerations such as unintended bias. Demonstrable contribution to leadership within the professional community including shaping recruitment strategies, supporting career progression and contributing to wider Digital Practice initiatives. Proven ability to create an inclusive and diverse working environment in which individuals feel safe to challenge, are confident their perspectives will be heard and are supported to take initiative and develop professionally. A degree or higher in STEM (Science, Technology, Engineering, or Mathematics) is essential for this role, and evidence of qualification will be requested. You and your role As a Lead Data Scientist, you will shape analytics, insight and evidence for Working Age Services - the part of DWP that supports millions of people of working age through services such as Universal Credit, helping them access financial support, employment opportunities and essential services. You will lead and develop a high-performing team, applying advanced analytical and data science methods. You will align your team's work with the DWP Data and AI strategies, ensuring effective use of central platforms, standards and capabilities. You will be accountable for the quality and impact of analytical outputs - from experimentation and evaluation approaches through to reporting and machine learning applications - ensuring they drive measurable improvements for citizens and DWP colleagues. Working closely with senior stakeholders across digital, operations and policy, you will influence how performance is measured, improve data quality, and embed a stronger culture of evidence-based decision-making. You will also set the standard for responsible data science - maintaining robust governance around privacy, security and data protection, and proactively addressing ethical considerations such as bias. As a senior leader in the profession, you will contribute to building an inclusive, high-performing community by supporting recruitment, developing talent, and helping shape the wider Digital Practice. Please note that the role may involve travel to other digital hubs, with frequency discussed if you are successful. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Leeds, Manchester, Newcastle or Sheffield. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer competitive pay of up to £92,522. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £23,253 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through.Interview: a single stage interview online. CLICK APPLY for more information and to start your application. JBRP1_UKTJ
Lead Data Scientist Pay of up £92,522, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. We want to hire a new Lead Data Scientist. If you're skilled at harnessing data and applying advanced analytics to improve outcomes and excited by the prospect of using data and technology at scale in innovative ways to solve complex problems we'd love to hear from you. DWP Digital provides inspiring career opportunities for people who are passionate about creating meaningful impact. As the Lead Data Scientist for Working Age Services, you will lead a high-performing analytical team helping to improve outcomes for claimants and agents. You'll use data science to inform the design, deliver and evaluation of Working Age digital services. Working closely with the Working Age Services Data Lead and Delivery Lead, you will collaborate with cross-disciplinary development teams to understand their data needs and ensure these are effectively met through strong engagement with the Data and Analytics platform team. DWP. Digital with Purpose. What skills, knowledge and experience will you need? Demonstrable experience of leading high-performing, multi-disciplinary teams that deliver analytics and insights at pace, effectively supporting project, programme and business outcomes. Strong working knowledge of a broad range of data science techniques including a clear understanding of their appropriate application alongside a commitment to remaining current with emerging industry developments and practices. Proven ability to build and maintain trusted relationships with peers and senior stakeholders including colleagues across digital, operations and policy in order to understand requirements and maximise value delivery. Evidenced capability in establishing standards and best practices for teams including implementing appropriate safeguards to ensure compliance with privacy, security and data protection principles as well as addressing ethical considerations such as unintended bias. Demonstrable contribution to leadership within the professional community including shaping recruitment strategies, supporting career progression and contributing to wider Digital Practice initiatives. Proven ability to create an inclusive and diverse working environment in which individuals feel safe to challenge, are confident their perspectives will be heard and are supported to take initiative and develop professionally. A degree or higher in STEM (Science, Technology, Engineering, or Mathematics) is essential for this role, and evidence of qualification will be requested. You and your role As a Lead Data Scientist, you will shape analytics, insight and evidence for Working Age Services - the part of DWP that supports millions of people of working age through services such as Universal Credit, helping them access financial support, employment opportunities and essential services. You will lead and develop a high-performing team, applying advanced analytical and data science methods. You will align your team's work with the DWP Data and AI strategies, ensuring effective use of central platforms, standards and capabilities. You will be accountable for the quality and impact of analytical outputs - from experimentation and evaluation approaches through to reporting and machine learning applications - ensuring they drive measurable improvements for citizens and DWP colleagues. Working closely with senior stakeholders across digital, operations and policy, you will influence how performance is measured, improve data quality, and embed a stronger culture of evidence-based decision-making. You will also set the standard for responsible data science - maintaining robust governance around privacy, security and data protection, and proactively addressing ethical considerations such as bias. As a senior leader in the profession, you will contribute to building an inclusive, high-performing community by supporting recruitment, developing talent, and helping shape the wider Digital Practice. Please note that the role may involve travel to other digital hubs, with frequency discussed if you are successful. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Leeds, Manchester, Newcastle or Sheffield. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer competitive pay of up to £92,522. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £23,253 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through.Interview: a single stage interview online. CLICK APPLY for more information and to start your application. JBRP1_UKTJ
08/06/2026
Full time
Lead Data Scientist Pay of up £92,522, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. We want to hire a new Lead Data Scientist. If you're skilled at harnessing data and applying advanced analytics to improve outcomes and excited by the prospect of using data and technology at scale in innovative ways to solve complex problems we'd love to hear from you. DWP Digital provides inspiring career opportunities for people who are passionate about creating meaningful impact. As the Lead Data Scientist for Working Age Services, you will lead a high-performing analytical team helping to improve outcomes for claimants and agents. You'll use data science to inform the design, deliver and evaluation of Working Age digital services. Working closely with the Working Age Services Data Lead and Delivery Lead, you will collaborate with cross-disciplinary development teams to understand their data needs and ensure these are effectively met through strong engagement with the Data and Analytics platform team. DWP. Digital with Purpose. What skills, knowledge and experience will you need? Demonstrable experience of leading high-performing, multi-disciplinary teams that deliver analytics and insights at pace, effectively supporting project, programme and business outcomes. Strong working knowledge of a broad range of data science techniques including a clear understanding of their appropriate application alongside a commitment to remaining current with emerging industry developments and practices. Proven ability to build and maintain trusted relationships with peers and senior stakeholders including colleagues across digital, operations and policy in order to understand requirements and maximise value delivery. Evidenced capability in establishing standards and best practices for teams including implementing appropriate safeguards to ensure compliance with privacy, security and data protection principles as well as addressing ethical considerations such as unintended bias. Demonstrable contribution to leadership within the professional community including shaping recruitment strategies, supporting career progression and contributing to wider Digital Practice initiatives. Proven ability to create an inclusive and diverse working environment in which individuals feel safe to challenge, are confident their perspectives will be heard and are supported to take initiative and develop professionally. A degree or higher in STEM (Science, Technology, Engineering, or Mathematics) is essential for this role, and evidence of qualification will be requested. You and your role As a Lead Data Scientist, you will shape analytics, insight and evidence for Working Age Services - the part of DWP that supports millions of people of working age through services such as Universal Credit, helping them access financial support, employment opportunities and essential services. You will lead and develop a high-performing team, applying advanced analytical and data science methods. You will align your team's work with the DWP Data and AI strategies, ensuring effective use of central platforms, standards and capabilities. You will be accountable for the quality and impact of analytical outputs - from experimentation and evaluation approaches through to reporting and machine learning applications - ensuring they drive measurable improvements for citizens and DWP colleagues. Working closely with senior stakeholders across digital, operations and policy, you will influence how performance is measured, improve data quality, and embed a stronger culture of evidence-based decision-making. You will also set the standard for responsible data science - maintaining robust governance around privacy, security and data protection, and proactively addressing ethical considerations such as bias. As a senior leader in the profession, you will contribute to building an inclusive, high-performing community by supporting recruitment, developing talent, and helping shape the wider Digital Practice. Please note that the role may involve travel to other digital hubs, with frequency discussed if you are successful. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Leeds, Manchester, Newcastle or Sheffield. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer competitive pay of up to £92,522. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £23,253 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through.Interview: a single stage interview online. CLICK APPLY for more information and to start your application. JBRP1_UKTJ
Lead Data Scientist Pay of up £92,522, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. We want to hire a new Lead Data Scientist. If you're skilled at harnessing data and applying advanced analytics to improve outcomes and excited by the prospect of using data and technology at scale in innovative ways to solve complex problems we'd love to hear from you. DWP Digital provides inspiring career opportunities for people who are passionate about creating meaningful impact. As the Lead Data Scientist for Working Age Services, you will lead a high-performing analytical team helping to improve outcomes for claimants and agents. You'll use data science to inform the design, deliver and evaluation of Working Age digital services. Working closely with the Working Age Services Data Lead and Delivery Lead, you will collaborate with cross-disciplinary development teams to understand their data needs and ensure these are effectively met through strong engagement with the Data and Analytics platform team. DWP. Digital with Purpose. What skills, knowledge and experience will you need? Demonstrable experience of leading high-performing, multi-disciplinary teams that deliver analytics and insights at pace, effectively supporting project, programme and business outcomes. Strong working knowledge of a broad range of data science techniques including a clear understanding of their appropriate application alongside a commitment to remaining current with emerging industry developments and practices. Proven ability to build and maintain trusted relationships with peers and senior stakeholders including colleagues across digital, operations and policy in order to understand requirements and maximise value delivery. Evidenced capability in establishing standards and best practices for teams including implementing appropriate safeguards to ensure compliance with privacy, security and data protection principles as well as addressing ethical considerations such as unintended bias. Demonstrable contribution to leadership within the professional community including shaping recruitment strategies, supporting career progression and contributing to wider Digital Practice initiatives. Proven ability to create an inclusive and diverse working environment in which individuals feel safe to challenge, are confident their perspectives will be heard and are supported to take initiative and develop professionally. A degree or higher in STEM (Science, Technology, Engineering, or Mathematics) is essential for this role, and evidence of qualification will be requested. You and your role As a Lead Data Scientist, you will shape analytics, insight and evidence for Working Age Services - the part of DWP that supports millions of people of working age through services such as Universal Credit, helping them access financial support, employment opportunities and essential services. You will lead and develop a high-performing team, applying advanced analytical and data science methods. You will align your team's work with the DWP Data and AI strategies, ensuring effective use of central platforms, standards and capabilities. You will be accountable for the quality and impact of analytical outputs - from experimentation and evaluation approaches through to reporting and machine learning applications - ensuring they drive measurable improvements for citizens and DWP colleagues. Working closely with senior stakeholders across digital, operations and policy, you will influence how performance is measured, improve data quality, and embed a stronger culture of evidence-based decision-making. You will also set the standard for responsible data science - maintaining robust governance around privacy, security and data protection, and proactively addressing ethical considerations such as bias. As a senior leader in the profession, you will contribute to building an inclusive, high-performing community by supporting recruitment, developing talent, and helping shape the wider Digital Practice. Please note that the role may involve travel to other digital hubs, with frequency discussed if you are successful. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Leeds, Manchester, Newcastle or Sheffield. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer competitive pay of up to £92,522. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £23,253 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through.Interview: a single stage interview online. CLICK APPLY for more information and to start your application JBRP1_UKTJ
08/06/2026
Full time
Lead Data Scientist Pay of up £92,522, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. We want to hire a new Lead Data Scientist. If you're skilled at harnessing data and applying advanced analytics to improve outcomes and excited by the prospect of using data and technology at scale in innovative ways to solve complex problems we'd love to hear from you. DWP Digital provides inspiring career opportunities for people who are passionate about creating meaningful impact. As the Lead Data Scientist for Working Age Services, you will lead a high-performing analytical team helping to improve outcomes for claimants and agents. You'll use data science to inform the design, deliver and evaluation of Working Age digital services. Working closely with the Working Age Services Data Lead and Delivery Lead, you will collaborate with cross-disciplinary development teams to understand their data needs and ensure these are effectively met through strong engagement with the Data and Analytics platform team. DWP. Digital with Purpose. What skills, knowledge and experience will you need? Demonstrable experience of leading high-performing, multi-disciplinary teams that deliver analytics and insights at pace, effectively supporting project, programme and business outcomes. Strong working knowledge of a broad range of data science techniques including a clear understanding of their appropriate application alongside a commitment to remaining current with emerging industry developments and practices. Proven ability to build and maintain trusted relationships with peers and senior stakeholders including colleagues across digital, operations and policy in order to understand requirements and maximise value delivery. Evidenced capability in establishing standards and best practices for teams including implementing appropriate safeguards to ensure compliance with privacy, security and data protection principles as well as addressing ethical considerations such as unintended bias. Demonstrable contribution to leadership within the professional community including shaping recruitment strategies, supporting career progression and contributing to wider Digital Practice initiatives. Proven ability to create an inclusive and diverse working environment in which individuals feel safe to challenge, are confident their perspectives will be heard and are supported to take initiative and develop professionally. A degree or higher in STEM (Science, Technology, Engineering, or Mathematics) is essential for this role, and evidence of qualification will be requested. You and your role As a Lead Data Scientist, you will shape analytics, insight and evidence for Working Age Services - the part of DWP that supports millions of people of working age through services such as Universal Credit, helping them access financial support, employment opportunities and essential services. You will lead and develop a high-performing team, applying advanced analytical and data science methods. You will align your team's work with the DWP Data and AI strategies, ensuring effective use of central platforms, standards and capabilities. You will be accountable for the quality and impact of analytical outputs - from experimentation and evaluation approaches through to reporting and machine learning applications - ensuring they drive measurable improvements for citizens and DWP colleagues. Working closely with senior stakeholders across digital, operations and policy, you will influence how performance is measured, improve data quality, and embed a stronger culture of evidence-based decision-making. You will also set the standard for responsible data science - maintaining robust governance around privacy, security and data protection, and proactively addressing ethical considerations such as bias. As a senior leader in the profession, you will contribute to building an inclusive, high-performing community by supporting recruitment, developing talent, and helping shape the wider Digital Practice. Please note that the role may involve travel to other digital hubs, with frequency discussed if you are successful. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Leeds, Manchester, Newcastle or Sheffield. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer competitive pay of up to £92,522. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £23,253 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through.Interview: a single stage interview online. CLICK APPLY for more information and to start your application JBRP1_UKTJ
Data Engineer We're looking for a Mid-Level Data Engineer to join our team to design, build, and maintain the data pipelines, models, and platforms that power insights and decision-making across Yoto. What you'll be doing Building robust and scalable data extraction pipelines using dlthub, getting data from our diverse sources (e.g. internal platform, third- and first-party APIs, etc.) into our existing pipeline infrastructure Creating, maintaining and optimising data models using dbt, turning data into usable, enriched datasets for internal self-service reporting and analytics use Working with Dagster as our orchestration platform to manage pipeline dependencies, scheduling, and monitoring Partnering with data scientists and analysts to make sure that datasets are meaningful, intuitive and relevant for their use cases, particularly for consumption via Lightdash (our BI tool) Creating clear data governance principles and practices, being an advocate for high quality data creation and usage across the business Contributing to data platform infrastructure management and optimisation What you'll bring Proven experience in a data engineering and/or analytics engineering role, with a track record of having sustained impact Experience with modern orchestration tools (Dagster preferred, Airflow or similar also welcome) for managing complex data workflows Excellent SQL and strong Python expertise - you'll be writing custom data assets in Dagster and contributing to dbt pipelines Experience with core git workflows and version control best practices Experience working cross-functionally and building strong relationships with data users of varying degrees of data literacy Comfortable with ambiguity and excited by the opportunity to shape how data drives decision-making at Yoto Salary £60,000 - £70,000 based on experience What you can expect from Yoto Flexibility: Hybrid working - expectation of 1 day a week on average in our London office, but you are welcome to come in more than this. Take advantage of our 'work from anywhere' policy to work from a different location for up to 6 weeks every year. Summer Hours policy to use between the months of June and August. Financial: Generous share option programme, income protection, company sick pay, life assurance from day one, pension contributions, and employee referral bonus scheme. Health & Wellness: Private medical insurance, wellbeing allowance, 24/7 employee assistance, dental guidance, and bike to work scheme. Time Off: 25 days of holiday per year plus bank holidays, birthday off, extra holiday for each year worked after 2 years up to 5 extra days, and sabbatical after 4 years. Helping Families: Family-friendly leave and nursery scheme. People & Planet: Volunteer days and book allowance for development. Fun Perks: Your own Yoto player and starter pack, regular socials and YotoFest. Equity and Diversity At Yoto, we love creating a world where childhood is rich with discovery and joy. We're also passionate about building a workplace where everyone can thrive - both professionally and personally. We value flexibility and give our team the freedom to balance life and work in ways that suit them. We're committed to fostering a safe, diverse, and inclusive environment where all individuals feel valued and supported. Our Diversity, Equity and Inclusion group holds bi-monthly forums to elevate diverse voices and perspectives, ensuring everyone at Yoto feels heard, respected, and appreciated. We don't just embrace differences - we celebrate them. We share audio content from a vibrant and diverse community of creators and we are building a team that reflects that same diversity. Take a look at our DEI selection, and our approach to People and Planet on our website. Please only apply or engage with Yoto jobs posted on our careers page. All correspondence from our Talent team will only come through Teamtailor, our application tracking system.
08/06/2026
Full time
Data Engineer We're looking for a Mid-Level Data Engineer to join our team to design, build, and maintain the data pipelines, models, and platforms that power insights and decision-making across Yoto. What you'll be doing Building robust and scalable data extraction pipelines using dlthub, getting data from our diverse sources (e.g. internal platform, third- and first-party APIs, etc.) into our existing pipeline infrastructure Creating, maintaining and optimising data models using dbt, turning data into usable, enriched datasets for internal self-service reporting and analytics use Working with Dagster as our orchestration platform to manage pipeline dependencies, scheduling, and monitoring Partnering with data scientists and analysts to make sure that datasets are meaningful, intuitive and relevant for their use cases, particularly for consumption via Lightdash (our BI tool) Creating clear data governance principles and practices, being an advocate for high quality data creation and usage across the business Contributing to data platform infrastructure management and optimisation What you'll bring Proven experience in a data engineering and/or analytics engineering role, with a track record of having sustained impact Experience with modern orchestration tools (Dagster preferred, Airflow or similar also welcome) for managing complex data workflows Excellent SQL and strong Python expertise - you'll be writing custom data assets in Dagster and contributing to dbt pipelines Experience with core git workflows and version control best practices Experience working cross-functionally and building strong relationships with data users of varying degrees of data literacy Comfortable with ambiguity and excited by the opportunity to shape how data drives decision-making at Yoto Salary £60,000 - £70,000 based on experience What you can expect from Yoto Flexibility: Hybrid working - expectation of 1 day a week on average in our London office, but you are welcome to come in more than this. Take advantage of our 'work from anywhere' policy to work from a different location for up to 6 weeks every year. Summer Hours policy to use between the months of June and August. Financial: Generous share option programme, income protection, company sick pay, life assurance from day one, pension contributions, and employee referral bonus scheme. Health & Wellness: Private medical insurance, wellbeing allowance, 24/7 employee assistance, dental guidance, and bike to work scheme. Time Off: 25 days of holiday per year plus bank holidays, birthday off, extra holiday for each year worked after 2 years up to 5 extra days, and sabbatical after 4 years. Helping Families: Family-friendly leave and nursery scheme. People & Planet: Volunteer days and book allowance for development. Fun Perks: Your own Yoto player and starter pack, regular socials and YotoFest. Equity and Diversity At Yoto, we love creating a world where childhood is rich with discovery and joy. We're also passionate about building a workplace where everyone can thrive - both professionally and personally. We value flexibility and give our team the freedom to balance life and work in ways that suit them. We're committed to fostering a safe, diverse, and inclusive environment where all individuals feel valued and supported. Our Diversity, Equity and Inclusion group holds bi-monthly forums to elevate diverse voices and perspectives, ensuring everyone at Yoto feels heard, respected, and appreciated. We don't just embrace differences - we celebrate them. We share audio content from a vibrant and diverse community of creators and we are building a team that reflects that same diversity. Take a look at our DEI selection, and our approach to People and Planet on our website. Please only apply or engage with Yoto jobs posted on our careers page. All correspondence from our Talent team will only come through Teamtailor, our application tracking system.
About hyperexponential (hx) At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a $7 trillion industry - which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurers have been making billion-dollar decisions using outdated tools. We're changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we're scaling globally - already trusted by nearly 50 of the world's largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world's first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn't tied to title or tenure; it's defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you'll do the best, hardest work of your life in a company engineered to endure. If that sounds like you, join us in building what comes next. About the Model Development team The hyperexponential Model Development team (MDT) is a unique blend of engineers, actuaries, mathematicians and data scientists. We don't take on traditional "transformations" (we have brilliant partners for that) - we specialise in handling only the most difficult and interesting problems our customers face, where only a combination of technical depth, market expertise and hx Renew knowledge will do. The MDT are the experts' experts of hx Renew, knowing it top-to-bottom, inside-out - both breadth and depth. You'll learn its limits and which can be pushed. You'll uncover every trick in the book, the secret combinations, and the shortcuts. You'll combine all of this with a growing knowledge of insurance technology to present 'the art of the possible' to our customers and help shape cutting-edge tech, while working alongside some of the brightest, most ambitious people in the tech and insurance industries. What you'll be doing Own end-to-end model delivery on hx Renew, from scoping and build through to testing, iteration, and customer delivery. Build and maintain production-grade Python models, applying modern engineering and modelling practices. Work directly with customer actuarial teams and internal stakeholders to solve complex, ambiguous modelling and coding problems. Raise quality across the team through code review, testing, and contributions to best-practice model development guidance. Support and mentor junior model developers through pairing, feedback, and day-to-day delivery support. Continuously look for ways to improve our model development standards, tooling, and ways of working. What you'll need to have done Shipped and maintained production-grade Python code in complex or data-heavy environments. Applied predictive modelling or advanced analytics in real-world settings (insurance or reinsurance exposure is a bonus, not a requirement). Taken ownership of ambiguous problems, creating structure and driving them through to high-quality outcomes. Worked directly with non-technical stakeholders or customers, translating requirements into robust technical solutions. Operated effectively in a high-trust, high-accountability environment, proactively driving your own development and learning. You're unlikely to thrive here if You prefer following detailed instructions rather than experimenting and finding your own approach. You are uncomfortable working directly with non-technical stakeholders to understand their challenges. You avoid tackling ambiguous or open-ended problems where the solution isn't obvious. If reading our Culture Document leaves you feeling neutral rather than energised, hx may not be the place where you'll do your best work. We're building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us. Compensation At hx, we're committed to salary transparency. You'll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we're working towards publishing salary information for all roles globally. Because we're building at the intersection of technology/SaaS and insurance, our roles don't always map neatly onto traditional benchmarks. Our approach is to design compensation that's competitive in the market, fair across teams, and aligned with the impact our people make. Equity: We offer equity across all roles at hx, making it a significant component of total compensation. Your talent partner will be able to share more details about this. Benefits £5,000 training and conference budget for individual and group development. 25 days of holiday plus 8 bank holidays (33 days total). Company pension scheme via Penfold. Mental health support and therapy via Spectrum.life. Individual wellbeing allowance via Juno. Private healthcare insurance through AXA. Income protection and Life Insurance. Cycle to Work Scheme Additional perks Top-spec equipment (laptop, screens, adjustable desks, etc.). Regular remote and in-person hackathons, lunch and learns, socials, and game nights. Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Ministry. Exceptional opportunities for personal development and growth as we build something remarkable together. Interview process Initial call with our Talent team - 30 minutes Take-home Python challenge followed by Skills Interview - 1 hour Manager Interview - 1 hour Values Interview - 1 hour Our commitment to Diversity hxer's are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive. Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure. If you're energised by complexity and motivated to grow, we encourage you to apply and join our global team. Next steps If this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome. For more information about applying and to view other opportunities, you can visit our careers page. Please note that background checks will be conducted as part of the hiring process to ensure compliance with our governance policies. We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.
08/06/2026
Full time
About hyperexponential (hx) At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a $7 trillion industry - which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurers have been making billion-dollar decisions using outdated tools. We're changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we're scaling globally - already trusted by nearly 50 of the world's largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world's first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn't tied to title or tenure; it's defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you'll do the best, hardest work of your life in a company engineered to endure. If that sounds like you, join us in building what comes next. About the Model Development team The hyperexponential Model Development team (MDT) is a unique blend of engineers, actuaries, mathematicians and data scientists. We don't take on traditional "transformations" (we have brilliant partners for that) - we specialise in handling only the most difficult and interesting problems our customers face, where only a combination of technical depth, market expertise and hx Renew knowledge will do. The MDT are the experts' experts of hx Renew, knowing it top-to-bottom, inside-out - both breadth and depth. You'll learn its limits and which can be pushed. You'll uncover every trick in the book, the secret combinations, and the shortcuts. You'll combine all of this with a growing knowledge of insurance technology to present 'the art of the possible' to our customers and help shape cutting-edge tech, while working alongside some of the brightest, most ambitious people in the tech and insurance industries. What you'll be doing Own end-to-end model delivery on hx Renew, from scoping and build through to testing, iteration, and customer delivery. Build and maintain production-grade Python models, applying modern engineering and modelling practices. Work directly with customer actuarial teams and internal stakeholders to solve complex, ambiguous modelling and coding problems. Raise quality across the team through code review, testing, and contributions to best-practice model development guidance. Support and mentor junior model developers through pairing, feedback, and day-to-day delivery support. Continuously look for ways to improve our model development standards, tooling, and ways of working. What you'll need to have done Shipped and maintained production-grade Python code in complex or data-heavy environments. Applied predictive modelling or advanced analytics in real-world settings (insurance or reinsurance exposure is a bonus, not a requirement). Taken ownership of ambiguous problems, creating structure and driving them through to high-quality outcomes. Worked directly with non-technical stakeholders or customers, translating requirements into robust technical solutions. Operated effectively in a high-trust, high-accountability environment, proactively driving your own development and learning. You're unlikely to thrive here if You prefer following detailed instructions rather than experimenting and finding your own approach. You are uncomfortable working directly with non-technical stakeholders to understand their challenges. You avoid tackling ambiguous or open-ended problems where the solution isn't obvious. If reading our Culture Document leaves you feeling neutral rather than energised, hx may not be the place where you'll do your best work. We're building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us. Compensation At hx, we're committed to salary transparency. You'll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we're working towards publishing salary information for all roles globally. Because we're building at the intersection of technology/SaaS and insurance, our roles don't always map neatly onto traditional benchmarks. Our approach is to design compensation that's competitive in the market, fair across teams, and aligned with the impact our people make. Equity: We offer equity across all roles at hx, making it a significant component of total compensation. Your talent partner will be able to share more details about this. Benefits £5,000 training and conference budget for individual and group development. 25 days of holiday plus 8 bank holidays (33 days total). Company pension scheme via Penfold. Mental health support and therapy via Spectrum.life. Individual wellbeing allowance via Juno. Private healthcare insurance through AXA. Income protection and Life Insurance. Cycle to Work Scheme Additional perks Top-spec equipment (laptop, screens, adjustable desks, etc.). Regular remote and in-person hackathons, lunch and learns, socials, and game nights. Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Ministry. Exceptional opportunities for personal development and growth as we build something remarkable together. Interview process Initial call with our Talent team - 30 minutes Take-home Python challenge followed by Skills Interview - 1 hour Manager Interview - 1 hour Values Interview - 1 hour Our commitment to Diversity hxer's are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive. Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure. If you're energised by complexity and motivated to grow, we encourage you to apply and join our global team. Next steps If this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome. For more information about applying and to view other opportunities, you can visit our careers page. Please note that background checks will be conducted as part of the hiring process to ensure compliance with our governance policies. We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows. AI has unlocked an entirely new generation of internal tools for our GTM teams. We're evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations. The RAD team partners closely with GTM Systems to define problems, solutions, and measure impact - from prototype to production. This is a high-ownership role for someone who thrives in ambiguity, is energized by solving complex real-world problems, and is motivated by seeing their work translate into tangible business impact. What will I be doing? Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups. Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends. Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact. Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion). Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams. What skills do I need? Proven track record of applied data science with measurable GTM impact - you've shipped models or tools that moved metrics like conversion, cycle time, or retention. LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development. Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems. Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows. Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders. Collaborativeproduct mindset- comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables. We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Open vacation policy and flexible holidays so you can take time off when you need it Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through ourcore values . Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law. Create a Job Alert Interested in building your career at Fin? Get future opportunities sent straight to your email. Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Are you authorised to work in the country in which this role is located?(Fin sponsors immigration for some roles so we encourage you to still apply if you require sponsorship.) Select Current Location Select NOTE for US locations : A "Metro" selection means that you live 75 miles (straight line radius) from the metropolitan geographic city center zip code. Are you willing to relocate? Select Current or most recent company? Have you previously worked for Fin (formerly Intercom)? Select LinkedIn Profile Website How did you hear about this job? Select What excites you most about this opportunity? Which Fin value resonates most with you and why? (Our values can be found on our Careers Page) We work under a hybrid in-office model. Are you willing to work from our office location 3 days per week? Select Please email me about future job openings Select
04/06/2026
Full time
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows. AI has unlocked an entirely new generation of internal tools for our GTM teams. We're evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations. The RAD team partners closely with GTM Systems to define problems, solutions, and measure impact - from prototype to production. This is a high-ownership role for someone who thrives in ambiguity, is energized by solving complex real-world problems, and is motivated by seeing their work translate into tangible business impact. What will I be doing? Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups. Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends. Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact. Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion). Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams. What skills do I need? Proven track record of applied data science with measurable GTM impact - you've shipped models or tools that moved metrics like conversion, cycle time, or retention. LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development. Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems. Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows. Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders. Collaborativeproduct mindset- comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables. We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Open vacation policy and flexible holidays so you can take time off when you need it Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through ourcore values . Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law. Create a Job Alert Interested in building your career at Fin? Get future opportunities sent straight to your email. Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Are you authorised to work in the country in which this role is located?(Fin sponsors immigration for some roles so we encourage you to still apply if you require sponsorship.) Select Current Location Select NOTE for US locations : A "Metro" selection means that you live 75 miles (straight line radius) from the metropolitan geographic city center zip code. Are you willing to relocate? Select Current or most recent company? Have you previously worked for Fin (formerly Intercom)? Select LinkedIn Profile Website How did you hear about this job? Select What excites you most about this opportunity? Which Fin value resonates most with you and why? (Our values can be found on our Careers Page) We work under a hybrid in-office model. Are you willing to work from our office location 3 days per week? Select Please email me about future job openings Select
Overview Data Scientist (Claims) at marshmallow - London About Marshmallow We build financial products that accelerate the economic freedom for people who move across borders. We started with car insurance - insuring over a million drivers - and we're scaling beyond. Tens of millions of people move countries each year, facing overlooked financial challenges. Our future is in building financial products around their needs to positively impact their lives. How we work We're really proud of the culture we've created. We push for progress every day, because we know that we'll only hit big milestones by taking lots of smaller steps. We're always open to helping our team mates, sharing our ideas, experience and knowledge to solve problems together. We take risks, think creatively and experiment relentlessly to meet our customer's needs, and never pass blame when things go wrong. We encourage people at all levels to take ownership of their work, and to be bold in challenging how we do things. Everyone has a voice and the opportunity to make an impact. Autonomy and ownership are supported with clear direction, in-depth planning twice a year, and clear goals that flow from top to bottom. Most work rolls up into three tribes: Acquisition, Retention & Claims. Each tribe has multiple teams embedded in it, working cross-functionally to do great work. We're excited for the challenges ahead and welcome you to explore our Culture Handbook to learn more. Marshmallow aims to make insurance more accessible and affordable for as many people as possible. That means harnessing technology, automation and intelligent decision making to serve customers better and cheaper than traditional insurers. Data, analytics and the Claims Tribe We're here to generate insights and actions from all the data we can get our hands on. This includes analytics, predictive modelling, and prescriptive recommendations. We deliver high impact work to the business, focusing on high risk, high reward projects, and ensuring all decisions are data driven. We're now looking for a Data Scientist to join our Claims Tribe , where we are on a mission to transform how we handle claims by using data and AI to make faster and smarter decisions that improve outcomes and reduce costs. This is a critical area of the business that directly affects our loss ratio, operational efficiency and customer satisfaction. You will build intelligent systems that help us solve the right claims at the right time for the right cost by combining predictive models, agentic AI workflows and automation to guide and accelerate decisions across the claim lifecycle, including decisioning models, fraud detection, prioritisation and workflow logic. There are high impact problems to solve, and you will be part of a team that is actively redefining what great looks like in claims handling through the use of frontier AI tools and human in the loop systems. What you'll be doing Owning and delivering data science solutions that improve how we triage, prioritise and resolve claims with measurable impact on cost, speed and customer experience. Building and deploying predictive models that support automated decisions or enable better human ones (e.g. risk triage, fraud signals, case prioritisation, exception handling). Collaborating with engineers, product managers and claims experts to embed your models into our internal systems and tools. Supporting an experimentation-first mindset with A/B tests and analytics to prove business value. Contributing to the definition of KPIs and analytical processes that help us evaluate and continuously improve claims performance. Exploring opportunities to apply emerging AI technologies such as agentic systems and large language models to streamline workflows and assist decision makers in real time. Who you are You are naturally curious and hands-on, all things data and ML related. You have a commercial mindset and focus on driving meaningful business impact. You communicate clearly across both technical and non-technical teams. You care about the customer journey and want to make hard moments easier. You're pragmatic and outcome-oriented, not wedded to complexity for its own sake. You enjoy solving real operational problems with cutting edge tools, especially where human judgment and automation intersect. You value simplicity, clarity, and strong data foundations. What we're looking for from you Experiences that are essential Experience building and deploying ML models that deliver measurable business results. Understanding of how to evaluate performance within risk decisioning, including performance trade-offs and operational considerations. Familiarity with A/B testing and measuring model impact. Proficiency in Python and SQL. At least 2+ years of professional experience in data science or similar roles. Experiences that will help you Experience in insurance, operations, or other complex service environments. Experience working with unstructured data (e.g. documents, free text, images). Knowledge of MLOps best practices and model monitoring. Experience with experimentation frameworks and KPI tracking. PhD or masters degree from a top institution. Experience designing, building and deploying Generative AI applications or Retrieval-Augmented Generation (RAG) systems in operational or customer facing environments. Perks of the job Flexi-office working - Spend 2-3 days a week with your team in our new collaborative London office. The rest is up to you! Competitive bonus scheme - designed to reward and recognise high performance Flexible benefits budget - £50 per month to spend on a Ben Mastercard, for subscriptions, classes, or other needs Sabbatical Leave - Get a 4-week fully paid sabbatical after being with us for 4 years Work From Anywhere - 4 weeks work from anywhere to use, with no need to come to the office Mental wellbeing support - Access therapy and mental health sessions Learning and development - Personal budgets for books and training courses, plus 2 days a year to further your skillset Private health care - Vitality benefits Medical cash plan - Support for dental, optical and physio costs Tech scheme - Get the latest tech for less Plus all the rest: 33 days holiday, pension, cycle to work, team socials Our process We break it up into a few stages: Initial call with our Talent Acquisition Partner - 30 mins; a past experience interview with the hiring manager - 60 mins; a technical interview - 90 mins; a culture interview - 60 mins. Everyone belongs at Marshmallow We are committed to hiring without judgement, prejudice or bias and encourage everyone to apply. Diversity in identity, race, ethnicity, sexual orientation, age or background does not affect how we process applications. We're building an inclusive culture that empowers our people to do their best work and feel they belong. Recruitment privacy policy We take privacy seriously. Our Recruitment privacy notice explains how we process and handle your personal data. To find out more please view it here.
03/06/2026
Full time
Overview Data Scientist (Claims) at marshmallow - London About Marshmallow We build financial products that accelerate the economic freedom for people who move across borders. We started with car insurance - insuring over a million drivers - and we're scaling beyond. Tens of millions of people move countries each year, facing overlooked financial challenges. Our future is in building financial products around their needs to positively impact their lives. How we work We're really proud of the culture we've created. We push for progress every day, because we know that we'll only hit big milestones by taking lots of smaller steps. We're always open to helping our team mates, sharing our ideas, experience and knowledge to solve problems together. We take risks, think creatively and experiment relentlessly to meet our customer's needs, and never pass blame when things go wrong. We encourage people at all levels to take ownership of their work, and to be bold in challenging how we do things. Everyone has a voice and the opportunity to make an impact. Autonomy and ownership are supported with clear direction, in-depth planning twice a year, and clear goals that flow from top to bottom. Most work rolls up into three tribes: Acquisition, Retention & Claims. Each tribe has multiple teams embedded in it, working cross-functionally to do great work. We're excited for the challenges ahead and welcome you to explore our Culture Handbook to learn more. Marshmallow aims to make insurance more accessible and affordable for as many people as possible. That means harnessing technology, automation and intelligent decision making to serve customers better and cheaper than traditional insurers. Data, analytics and the Claims Tribe We're here to generate insights and actions from all the data we can get our hands on. This includes analytics, predictive modelling, and prescriptive recommendations. We deliver high impact work to the business, focusing on high risk, high reward projects, and ensuring all decisions are data driven. We're now looking for a Data Scientist to join our Claims Tribe , where we are on a mission to transform how we handle claims by using data and AI to make faster and smarter decisions that improve outcomes and reduce costs. This is a critical area of the business that directly affects our loss ratio, operational efficiency and customer satisfaction. You will build intelligent systems that help us solve the right claims at the right time for the right cost by combining predictive models, agentic AI workflows and automation to guide and accelerate decisions across the claim lifecycle, including decisioning models, fraud detection, prioritisation and workflow logic. There are high impact problems to solve, and you will be part of a team that is actively redefining what great looks like in claims handling through the use of frontier AI tools and human in the loop systems. What you'll be doing Owning and delivering data science solutions that improve how we triage, prioritise and resolve claims with measurable impact on cost, speed and customer experience. Building and deploying predictive models that support automated decisions or enable better human ones (e.g. risk triage, fraud signals, case prioritisation, exception handling). Collaborating with engineers, product managers and claims experts to embed your models into our internal systems and tools. Supporting an experimentation-first mindset with A/B tests and analytics to prove business value. Contributing to the definition of KPIs and analytical processes that help us evaluate and continuously improve claims performance. Exploring opportunities to apply emerging AI technologies such as agentic systems and large language models to streamline workflows and assist decision makers in real time. Who you are You are naturally curious and hands-on, all things data and ML related. You have a commercial mindset and focus on driving meaningful business impact. You communicate clearly across both technical and non-technical teams. You care about the customer journey and want to make hard moments easier. You're pragmatic and outcome-oriented, not wedded to complexity for its own sake. You enjoy solving real operational problems with cutting edge tools, especially where human judgment and automation intersect. You value simplicity, clarity, and strong data foundations. What we're looking for from you Experiences that are essential Experience building and deploying ML models that deliver measurable business results. Understanding of how to evaluate performance within risk decisioning, including performance trade-offs and operational considerations. Familiarity with A/B testing and measuring model impact. Proficiency in Python and SQL. At least 2+ years of professional experience in data science or similar roles. Experiences that will help you Experience in insurance, operations, or other complex service environments. Experience working with unstructured data (e.g. documents, free text, images). Knowledge of MLOps best practices and model monitoring. Experience with experimentation frameworks and KPI tracking. PhD or masters degree from a top institution. Experience designing, building and deploying Generative AI applications or Retrieval-Augmented Generation (RAG) systems in operational or customer facing environments. Perks of the job Flexi-office working - Spend 2-3 days a week with your team in our new collaborative London office. The rest is up to you! Competitive bonus scheme - designed to reward and recognise high performance Flexible benefits budget - £50 per month to spend on a Ben Mastercard, for subscriptions, classes, or other needs Sabbatical Leave - Get a 4-week fully paid sabbatical after being with us for 4 years Work From Anywhere - 4 weeks work from anywhere to use, with no need to come to the office Mental wellbeing support - Access therapy and mental health sessions Learning and development - Personal budgets for books and training courses, plus 2 days a year to further your skillset Private health care - Vitality benefits Medical cash plan - Support for dental, optical and physio costs Tech scheme - Get the latest tech for less Plus all the rest: 33 days holiday, pension, cycle to work, team socials Our process We break it up into a few stages: Initial call with our Talent Acquisition Partner - 30 mins; a past experience interview with the hiring manager - 60 mins; a technical interview - 90 mins; a culture interview - 60 mins. Everyone belongs at Marshmallow We are committed to hiring without judgement, prejudice or bias and encourage everyone to apply. Diversity in identity, race, ethnicity, sexual orientation, age or background does not affect how we process applications. We're building an inclusive culture that empowers our people to do their best work and feel they belong. Recruitment privacy policy We take privacy seriously. Our Recruitment privacy notice explains how we process and handle your personal data. To find out more please view it here.
Let's be ISS Sustainability is growing! Our Climate & Nature unit seeks a Climate Data Scientist to improve our existing climate and nature risk models, create new models and develop new products and analytical tools and to support financial market participants and governments to understand, measure and act on climate-related risks and their impact on investments across all asset classes. This is a fast-paced opportunity working within ISS Sustainability Climate & Nature Solutions, a market leader within its field and highly innovative. In this role, you will be a topic expert in physical climate risks, climate change, climate impacts and natural hazard modelling. You will work with large, multimodal geospatial data sets, solving non-routine analysis problems and applying advanced analytical methods as needed. You will have a central role in data-driven model development efforts including requirements specification, data gathering and processing, model tuning, validation, and structuring data-driven impact stories. This includes interactions with colleagues and clients from around the globe and getting involved in several aspects of operations. Responsibilities Leverage your deep knowledge of climate and earth systems as well as analytical expertise to contribute to the team's data science-driven product development efforts. Support the development of climate risk assessment products through work with large, complex data sets, solving non-routine analysis problems, and applying advanced analytical methods. Enable smart analytics by building robust, reliable, and useful data sets that can power various analytic techniques like spatial regression, super resolution, clustering etc. Support the maintenance and improvement of existing datasets, models, and pipelines, including contributing to regular data updates. Evaluate new data sources and data collection methods for accuracy and effectiveness. Coordinate with colleagues working on sustainability, climate, and nature risk products, and stay informed about the broader market landscape. Provide topic expertise to colleagues and clients on ISS Sustainability products, including support with product use and specialist client questions. Analyse regulatory requirements, public datasets, climate scenarios, and other relevant information to identify opportunities for improving existing products and developing new sustainable finance solutions. Qualifications/Skills Advanced university degree in atmospheric or physical sciences, meteorology, hydrology, environmental science, or a related field. Experience working as a climate scientist, hazard modeller, environmental engineer, or similar, including work on developing or maintaining climate hazard models or natural catastrophe models. Ability to use and interpret climate model outputs and projections, including those from CMIP datasets. Experience with AI or machine learning methods and developing predictive models is an advantage. Strong skills in working with large geospatial and climate datasets using Python, including libraries such as Xarray, Dask, and Rasterio. Familiarity with geospatial data formats such as NetCDF, Zarr, and GeoTIFF. Working knowledge of UNIX shell and Docker is beneficial. Solid data science and statistical analysis skills. Research experience or climate-related publications is an advantage. Strong analytical, communication, and problem solving skills. Ability to collaborate effectively with colleagues across multiple locations and time zones in a dynamic environment. Excellent written and spoken English. Knowledge of French or German is a plus. Experience in ESG or sustainable climate finance is considered an advantage. EEO Statement Institutional Shareholder Services (ISS) is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. It is our policy to prohibit discrimination or harassment against any applicant or employee on the basis of race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to 'protected status'). All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non-discriminatory basis, consistent with all applicable federal, state, and local requirements.
31/05/2026
Full time
Let's be ISS Sustainability is growing! Our Climate & Nature unit seeks a Climate Data Scientist to improve our existing climate and nature risk models, create new models and develop new products and analytical tools and to support financial market participants and governments to understand, measure and act on climate-related risks and their impact on investments across all asset classes. This is a fast-paced opportunity working within ISS Sustainability Climate & Nature Solutions, a market leader within its field and highly innovative. In this role, you will be a topic expert in physical climate risks, climate change, climate impacts and natural hazard modelling. You will work with large, multimodal geospatial data sets, solving non-routine analysis problems and applying advanced analytical methods as needed. You will have a central role in data-driven model development efforts including requirements specification, data gathering and processing, model tuning, validation, and structuring data-driven impact stories. This includes interactions with colleagues and clients from around the globe and getting involved in several aspects of operations. Responsibilities Leverage your deep knowledge of climate and earth systems as well as analytical expertise to contribute to the team's data science-driven product development efforts. Support the development of climate risk assessment products through work with large, complex data sets, solving non-routine analysis problems, and applying advanced analytical methods. Enable smart analytics by building robust, reliable, and useful data sets that can power various analytic techniques like spatial regression, super resolution, clustering etc. Support the maintenance and improvement of existing datasets, models, and pipelines, including contributing to regular data updates. Evaluate new data sources and data collection methods for accuracy and effectiveness. Coordinate with colleagues working on sustainability, climate, and nature risk products, and stay informed about the broader market landscape. Provide topic expertise to colleagues and clients on ISS Sustainability products, including support with product use and specialist client questions. Analyse regulatory requirements, public datasets, climate scenarios, and other relevant information to identify opportunities for improving existing products and developing new sustainable finance solutions. Qualifications/Skills Advanced university degree in atmospheric or physical sciences, meteorology, hydrology, environmental science, or a related field. Experience working as a climate scientist, hazard modeller, environmental engineer, or similar, including work on developing or maintaining climate hazard models or natural catastrophe models. Ability to use and interpret climate model outputs and projections, including those from CMIP datasets. Experience with AI or machine learning methods and developing predictive models is an advantage. Strong skills in working with large geospatial and climate datasets using Python, including libraries such as Xarray, Dask, and Rasterio. Familiarity with geospatial data formats such as NetCDF, Zarr, and GeoTIFF. Working knowledge of UNIX shell and Docker is beneficial. Solid data science and statistical analysis skills. Research experience or climate-related publications is an advantage. Strong analytical, communication, and problem solving skills. Ability to collaborate effectively with colleagues across multiple locations and time zones in a dynamic environment. Excellent written and spoken English. Knowledge of French or German is a plus. Experience in ESG or sustainable climate finance is considered an advantage. EEO Statement Institutional Shareholder Services (ISS) is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. It is our policy to prohibit discrimination or harassment against any applicant or employee on the basis of race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to 'protected status'). All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non-discriminatory basis, consistent with all applicable federal, state, and local requirements.
What you'll be doing Owning Heidi's pricing architecture. Define how we set and adjust margins across resort tiers, seasons, group types and departure windows. Balance competitiveness with profitability across our full holiday portfolio. Building our yield management capability. Develop frameworks and rules that allow us to flex pricing based on demand signals, lead time, availability and competitive positioning. Analyzing performance trends across margin per booking, conversion rate, revenue and gross profit to identify where pricing is leaving money on the table or costing us bookings. Translate that analysis into clear recommendations and action. Designing and running pricing experiments. Work with Product and Tech to set up controlled tests to measure the impact of price changes on conversion, margin and revenue before rolling them out broadly. Competitive pricing intelligence. Monitor how our pricing compares to key competitors across resorts and travel periods, and use that insight to inform our positioning and anticipate and make proactive changes. Defining our promotional strategy. Own the promotional calendar, working with Marketing and Supply to plan, price and execute promotional events across off-peak, peak and key trading moments like Black Friday and January peaks. Working with the Supply team to understand supplier cost structures, override opportunities and contracted terms. Translate those into pricing decisions that maximise margin without undermining competitiveness. Providing clear, regular performance updates to the CMO and Finance Director, connecting short-term trading dynamics to longer-term margin and profitability goals. What we're looking for from you Experience in revenue management, pricing or commercial analytics; ideally within travel, OTA, hospitality or a similarly dynamic business. First hire in this area - passion for owning and building. Able to design pricing frameworks, set strategy and get early wins live while setting us up for the long term. Highly numerate with strong commercial and financial acumen. Understand P&L mechanics, unit economics and how pricing decisions flow through to gross profit and EBITDA. Self-sufficient with data. Comfortable extracting, modelling and presenting your own analysis. No dedicated analyst - you'll be hands on with the data every day. Strong attention to detail. Skilled at diagnosing what actually drives a number, not just reporting it. Experimentation first mindset. Default to testing hypotheses with data rather than making changes based on gut feel. Clear, opinionated communication. Present recommendations to senior stakeholders with evidence and handle challenge. Desirable: proficiency with SQL (BigQuery), Google Sheets and data visualisation tools such as Looker Studio. Experience with statistical methods for experiment design and price elasticity modelling is a strong plus. Familiarity with AI assisted analytical workflows is valued. Benefits 25 days annual leave + bank holidays + 4 wellbeing days. Hybrid working policy - balance office and home; own your time. £1,000 Heidi holiday credit + additional holiday discounts. Vitality health insurance. Enhanced parental leave for primary /secondary carers and adoptive parents. Company social calendar - summer party, end of season conference and budget for team celebrations. £300 work from home budget. You'll be reporting to Sam Knott, our CMO. Our Commitment to inclusive hiring We want to create an inclusive environment that celebrates the diversity of our people whilst enabling them to do the best work of their careers. We are committed to ensuring that all our people processes are equitable. All applicants will be considered for employment without attention to age, ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran status, neurodiversity status, or disability status.
21/05/2026
Full time
What you'll be doing Owning Heidi's pricing architecture. Define how we set and adjust margins across resort tiers, seasons, group types and departure windows. Balance competitiveness with profitability across our full holiday portfolio. Building our yield management capability. Develop frameworks and rules that allow us to flex pricing based on demand signals, lead time, availability and competitive positioning. Analyzing performance trends across margin per booking, conversion rate, revenue and gross profit to identify where pricing is leaving money on the table or costing us bookings. Translate that analysis into clear recommendations and action. Designing and running pricing experiments. Work with Product and Tech to set up controlled tests to measure the impact of price changes on conversion, margin and revenue before rolling them out broadly. Competitive pricing intelligence. Monitor how our pricing compares to key competitors across resorts and travel periods, and use that insight to inform our positioning and anticipate and make proactive changes. Defining our promotional strategy. Own the promotional calendar, working with Marketing and Supply to plan, price and execute promotional events across off-peak, peak and key trading moments like Black Friday and January peaks. Working with the Supply team to understand supplier cost structures, override opportunities and contracted terms. Translate those into pricing decisions that maximise margin without undermining competitiveness. Providing clear, regular performance updates to the CMO and Finance Director, connecting short-term trading dynamics to longer-term margin and profitability goals. What we're looking for from you Experience in revenue management, pricing or commercial analytics; ideally within travel, OTA, hospitality or a similarly dynamic business. First hire in this area - passion for owning and building. Able to design pricing frameworks, set strategy and get early wins live while setting us up for the long term. Highly numerate with strong commercial and financial acumen. Understand P&L mechanics, unit economics and how pricing decisions flow through to gross profit and EBITDA. Self-sufficient with data. Comfortable extracting, modelling and presenting your own analysis. No dedicated analyst - you'll be hands on with the data every day. Strong attention to detail. Skilled at diagnosing what actually drives a number, not just reporting it. Experimentation first mindset. Default to testing hypotheses with data rather than making changes based on gut feel. Clear, opinionated communication. Present recommendations to senior stakeholders with evidence and handle challenge. Desirable: proficiency with SQL (BigQuery), Google Sheets and data visualisation tools such as Looker Studio. Experience with statistical methods for experiment design and price elasticity modelling is a strong plus. Familiarity with AI assisted analytical workflows is valued. Benefits 25 days annual leave + bank holidays + 4 wellbeing days. Hybrid working policy - balance office and home; own your time. £1,000 Heidi holiday credit + additional holiday discounts. Vitality health insurance. Enhanced parental leave for primary /secondary carers and adoptive parents. Company social calendar - summer party, end of season conference and budget for team celebrations. £300 work from home budget. You'll be reporting to Sam Knott, our CMO. Our Commitment to inclusive hiring We want to create an inclusive environment that celebrates the diversity of our people whilst enabling them to do the best work of their careers. We are committed to ensuring that all our people processes are equitable. All applicants will be considered for employment without attention to age, ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran status, neurodiversity status, or disability status.
Salary: Dependent on Experience Location: Flexible: Reigate or Manchester area Job type: Full time Working Pattern: 2 days per week onsite 4.5 day working week (Half day Fridays) About Infinity We are building the next generation of call intelligence and AI-driven insight platforms. Over the next three years, our focus is on evolving from a strong analytics foundation into an outcome-driven, API-first platform that embeds intelligence directly into customer workflows. This is an opportunity to join us at a pivotal stage. You'll help shape both how we build and what we build, working on systems that process high-volume, high-value data and increasingly leverage AI and automation to deliver measurable customer and business outcomes. We value pragmatic engineering, clear thinking, and continuous learning. Our teams are small, autonomous, and outcome-focused, with a strong emphasis on quality, ownership, and collaboration. We are entering our next growth phase - investing in AI-powered platform scalability, operational excellence and maturity, and cost-efficient growth to support our long-term strategy and enterprise ambitions. The Role AI Platform Architecture & Engineering Own the design, build, and evolution of Infinity's AI platform - the infrastructure layer that underpins AI-driven product capability and AI-assisted engineering delivery Define and govern the model pipeline architecture: data ingestion, feature engineering, training, validation, deployment, and monitoring at production scale Establish model abstraction and vendor flexibility across the stack - ensuring Infinity can move between cloud-managed services (AWS Bedrock, Agent Core) and open source or locally-hosted alternatives without brittle dependency on any single provider Lead the evaluation and selection of AI tooling, frameworks, and services - making principled, cost conscious decisions grounded in practical experience rather than vendor positioning Establish AI telemetry and runtime observability - latency, cost, accuracy drift, and performance monitoring - so the platform is instrumented from the outset Applied Intelligence - Product & Delivery Drive the applied use of AI across Infinity's product surface: agent driven features, NLP capabilities, conversational intelligence, and AI powered activation workflows Work closely with engineering squads and the Head of Engineering to embed AI into the delivery process itself - agentic coding practices, AI-assisted code review, automated testing and evaluation - accelerating the compound engineering model Define the standards and patterns for how AI behaviours are built, tested, and shipped - establishing guardrails, evaluation checkpoints, and governance that make AI product development reliable and auditable Translate product ambition into AI architecture decisions - ensuring Smart Voice, Smart Outcomes Pro, and future activation capabilities are built on a platform that can sustain and scale them Model Governance, Evaluation & Explainability Establish formal model governance at Infinity - validation frameworks, explainability standards, bias and safety evaluation, and documentation practices that meet the expectations of enterprise customers and compliance requirements Own the evaluation pipeline for AI features: defining what good looks like, building the tooling to measure it, and ensuring teams can iterate on AI behaviours with confidence Partner with Security, Compliance & Assurance on AI governance obligations, including emerging requirements under ISO 27001/42001, NIS2, and future SOC 2 scope - ensuring AI platform practices meet and anticipate regulatory expectations Make model selection and build vs buy decisions based on evidence: performance benchmarks, cost to serve, explainability requirements, and long term maintainability Team Building & Capability Development Assess the current AI capability honestly and define the team needed to deliver Infinity's AI ambitions - identifying where to hire, where to develop existing talent, and how to sequence investment for maximum impact Lead, develop, and retain the existing team - the Data Scientist and Data Engineers - providing the technical leadership, clarity of direction, and growth environment they currently lack Partner with the People Team Engineering Business Partner and the Head of Engineering on role definitions, career frameworks, and the introduction of new AI engineering roles as the function matures Raise AI literacy and practice across the broader P&E organisation - equipping engineering squads to work with AI platform capability confidently and effectively Cross Functional Partnership & AI Enablement Work closely with P&E peers - particularly the Head of Engineering - to ensure AI platform capability and engineering architecture develop in alignment, not in parallel Partner with Product to ensure AI features are technically feasible, appropriately governed, and built on platform foundations that can support them at scale Engage with the CTO and exec team on AI strategy, platform investment decisions, and the roadmap for AI capability growth at Infinity Represent Infinity's AI platform credibly in enterprise customer and partner conversations - particularly where AI capability, data handling, and compliance posture are evaluated as part of procurement About You Essential Solid working knowledge of ISO 27001 - ideally including hands on experience maintaining an ISMS, preparing for certification audits, and managing the continual improvement cycle Practical understanding of PCI DSS and GDPR as they apply in a B2B SaaS context - not just conceptual familiarity but experience translating obligations into controls and evidence A detail oriented, ownership driven approach - this role requires someone who takes personal responsibility for accuracy, completeness, and follow through, without needing to be managed into it Strong written communication skills - the ability to produce clear, well structured policies, reports, and InfoSec responses that serve different audiences effectively The organisational capability to maintain multiple workstreams simultaneously - audit cycles, client requests, remediation tracking, policy maintenance - without losing grip on any of them Comfortable working as an individual contributor with broad organisational reach - influencing without authority and building credibility through knowledge and consistency Highly Desirable Experience responding to enterprise InfoSec questionnaires and supporting security due diligence processes in a commercial context Familiarity with continuous penetration testing approaches and programmes - coordinating testing cycles, interpreting findings, and managing remediation through to evidence Working knowledge of NIS2 and SOC 2 - understanding of what they require and what preparation looks like, even without direct certification experience Exposure to AI governance frameworks, including ISO/IEC 42001, or an active interest in developing that knowledge as Infinity's AI capability grows Experience working within a cloud native environment - understanding how AWS infrastructure, serverless architecture, and SaaS delivery models interact with security and compliance obligations Relevant professional qualifications - CISSP, CISM, ISO 27001 Lead Auditor or Implementer, or equivalent Benefits you can enjoy 4.5 day working week (Half day every Friday - 1pm finish) 25 days holiday (with the option to buy up to an additional 5 days per year) Private single medical insurance Employee Assistance Programme Life Assurance (4x Salary) Enhanced Maternity and Paternity Pay Tech Scheme Loan (of up to £2,000 per year) Ride to Work Scheme Season Ticket Loan Dedicated annual company and team social budget At Infinity, our aim is to be the best call tracking provider in the world and to do that we welcome our employees with open arms and create an environment where you can bring your best self, every day! We're an equal opportunities employer. That means we'll never discriminate based on race, religion, origin, gender expression, sexual orientation, age, marital status, social economic status or disability status. In fact, our recruitment process is completely anonymised, and we don't see any of your personal details when we review your application. At Infinity, we don't treat our hiring process as a box ticking exercise and we're just as interested in team fit as we are technical fit. So, even if you don't meet all the requirements listed in one of our vacancies, get in touch with us anyway because we'd love to hear from you.
17/05/2026
Full time
Salary: Dependent on Experience Location: Flexible: Reigate or Manchester area Job type: Full time Working Pattern: 2 days per week onsite 4.5 day working week (Half day Fridays) About Infinity We are building the next generation of call intelligence and AI-driven insight platforms. Over the next three years, our focus is on evolving from a strong analytics foundation into an outcome-driven, API-first platform that embeds intelligence directly into customer workflows. This is an opportunity to join us at a pivotal stage. You'll help shape both how we build and what we build, working on systems that process high-volume, high-value data and increasingly leverage AI and automation to deliver measurable customer and business outcomes. We value pragmatic engineering, clear thinking, and continuous learning. Our teams are small, autonomous, and outcome-focused, with a strong emphasis on quality, ownership, and collaboration. We are entering our next growth phase - investing in AI-powered platform scalability, operational excellence and maturity, and cost-efficient growth to support our long-term strategy and enterprise ambitions. The Role AI Platform Architecture & Engineering Own the design, build, and evolution of Infinity's AI platform - the infrastructure layer that underpins AI-driven product capability and AI-assisted engineering delivery Define and govern the model pipeline architecture: data ingestion, feature engineering, training, validation, deployment, and monitoring at production scale Establish model abstraction and vendor flexibility across the stack - ensuring Infinity can move between cloud-managed services (AWS Bedrock, Agent Core) and open source or locally-hosted alternatives without brittle dependency on any single provider Lead the evaluation and selection of AI tooling, frameworks, and services - making principled, cost conscious decisions grounded in practical experience rather than vendor positioning Establish AI telemetry and runtime observability - latency, cost, accuracy drift, and performance monitoring - so the platform is instrumented from the outset Applied Intelligence - Product & Delivery Drive the applied use of AI across Infinity's product surface: agent driven features, NLP capabilities, conversational intelligence, and AI powered activation workflows Work closely with engineering squads and the Head of Engineering to embed AI into the delivery process itself - agentic coding practices, AI-assisted code review, automated testing and evaluation - accelerating the compound engineering model Define the standards and patterns for how AI behaviours are built, tested, and shipped - establishing guardrails, evaluation checkpoints, and governance that make AI product development reliable and auditable Translate product ambition into AI architecture decisions - ensuring Smart Voice, Smart Outcomes Pro, and future activation capabilities are built on a platform that can sustain and scale them Model Governance, Evaluation & Explainability Establish formal model governance at Infinity - validation frameworks, explainability standards, bias and safety evaluation, and documentation practices that meet the expectations of enterprise customers and compliance requirements Own the evaluation pipeline for AI features: defining what good looks like, building the tooling to measure it, and ensuring teams can iterate on AI behaviours with confidence Partner with Security, Compliance & Assurance on AI governance obligations, including emerging requirements under ISO 27001/42001, NIS2, and future SOC 2 scope - ensuring AI platform practices meet and anticipate regulatory expectations Make model selection and build vs buy decisions based on evidence: performance benchmarks, cost to serve, explainability requirements, and long term maintainability Team Building & Capability Development Assess the current AI capability honestly and define the team needed to deliver Infinity's AI ambitions - identifying where to hire, where to develop existing talent, and how to sequence investment for maximum impact Lead, develop, and retain the existing team - the Data Scientist and Data Engineers - providing the technical leadership, clarity of direction, and growth environment they currently lack Partner with the People Team Engineering Business Partner and the Head of Engineering on role definitions, career frameworks, and the introduction of new AI engineering roles as the function matures Raise AI literacy and practice across the broader P&E organisation - equipping engineering squads to work with AI platform capability confidently and effectively Cross Functional Partnership & AI Enablement Work closely with P&E peers - particularly the Head of Engineering - to ensure AI platform capability and engineering architecture develop in alignment, not in parallel Partner with Product to ensure AI features are technically feasible, appropriately governed, and built on platform foundations that can support them at scale Engage with the CTO and exec team on AI strategy, platform investment decisions, and the roadmap for AI capability growth at Infinity Represent Infinity's AI platform credibly in enterprise customer and partner conversations - particularly where AI capability, data handling, and compliance posture are evaluated as part of procurement About You Essential Solid working knowledge of ISO 27001 - ideally including hands on experience maintaining an ISMS, preparing for certification audits, and managing the continual improvement cycle Practical understanding of PCI DSS and GDPR as they apply in a B2B SaaS context - not just conceptual familiarity but experience translating obligations into controls and evidence A detail oriented, ownership driven approach - this role requires someone who takes personal responsibility for accuracy, completeness, and follow through, without needing to be managed into it Strong written communication skills - the ability to produce clear, well structured policies, reports, and InfoSec responses that serve different audiences effectively The organisational capability to maintain multiple workstreams simultaneously - audit cycles, client requests, remediation tracking, policy maintenance - without losing grip on any of them Comfortable working as an individual contributor with broad organisational reach - influencing without authority and building credibility through knowledge and consistency Highly Desirable Experience responding to enterprise InfoSec questionnaires and supporting security due diligence processes in a commercial context Familiarity with continuous penetration testing approaches and programmes - coordinating testing cycles, interpreting findings, and managing remediation through to evidence Working knowledge of NIS2 and SOC 2 - understanding of what they require and what preparation looks like, even without direct certification experience Exposure to AI governance frameworks, including ISO/IEC 42001, or an active interest in developing that knowledge as Infinity's AI capability grows Experience working within a cloud native environment - understanding how AWS infrastructure, serverless architecture, and SaaS delivery models interact with security and compliance obligations Relevant professional qualifications - CISSP, CISM, ISO 27001 Lead Auditor or Implementer, or equivalent Benefits you can enjoy 4.5 day working week (Half day every Friday - 1pm finish) 25 days holiday (with the option to buy up to an additional 5 days per year) Private single medical insurance Employee Assistance Programme Life Assurance (4x Salary) Enhanced Maternity and Paternity Pay Tech Scheme Loan (of up to £2,000 per year) Ride to Work Scheme Season Ticket Loan Dedicated annual company and team social budget At Infinity, our aim is to be the best call tracking provider in the world and to do that we welcome our employees with open arms and create an environment where you can bring your best self, every day! We're an equal opportunities employer. That means we'll never discriminate based on race, religion, origin, gender expression, sexual orientation, age, marital status, social economic status or disability status. In fact, our recruitment process is completely anonymised, and we don't see any of your personal details when we review your application. At Infinity, we don't treat our hiring process as a box ticking exercise and we're just as interested in team fit as we are technical fit. So, even if you don't meet all the requirements listed in one of our vacancies, get in touch with us anyway because we'd love to hear from you.
At Capgemini Invent, we help our clients to embrace innovation and transformation to get the future they want. By combining strategy, technology, data science, and creative design expertise with an inventive mindset, we partner with our clients to innovate and transform their business, helping them navigate today, while plotting a course for the future. About Capgemini Invent As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth. Capgemini Invent is an integral part of Capgemini, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2021 global revenues of €18 billion Our brand promise "Get The Future You Want" reflects our passion for people and technology and highlights the company's commitment to inclusion and sustainability. An important aspect of 'Get the Future You Want' is to balance hybrid ways of working between your Capgemini office, home, and client location (where applicable). We recognise that it is an imperative to create flexibility so you can enjoy an optimal work-life balance and feel empowered to achieve success. When you come onboard, or before, please discuss this with your manager so you can agree the best ways of working for your role, team, and client. Get The Future You Want See what it's like to work at Capgemini Invent, visit our Glassdoor page What you'll do: Identify and build strong relationships with clients across projects, influencing and collaborating with them on the content Create and iterate accurate user-centred content to a high standard that meets user needs Use analytics data, user feedback and user research to identify the needs of users and map user journeys Make complex language and processes easy to understand Bring new ideas and challenge the status quo Be an advocate for user-centred design, iterative and agile approaches. Skills you'll need: Strong understanding of user-centred design principles and best practice Experience working in multidisciplinary Agile teams to design and deliver user-centred services Experience of designing content for diverse users including accessibility and assisted digital needs Good communication and stakeholder management skills We are hiring all levels of experience. Whether you have been working as part of a small team or leading large or complex engagements, we have the role for you. Potential is also just as important to us as having the required skills. If you have the right mindset and you're passionate about the role, we will be able to provide you with bespoke training and the support to build all the skills you need. An overview of the role: As a Content Designer, you will be joining the growing and exciting Digital Factory community who are continually sharing knowledge and expertise. We are all passionate about user-centred design, critical thinking, problem solving and designing and building digital services and products. Working at Capgemini Invent would give you opportunities to develop and grow, working with major clients in both public and private sector. Our offices are in a variety of locations including London, Manchester and Glasgow. We offer hybrid working, however depending on your project you may have to travel to client locations. The work: No matter the project or customer, your work will have a meaningful impact on society, businesses and lives. It's really rewarding. And it's also really varied. You'll potentially work on a huge variety of projects (some larger than others), so you could gain lots of experience in a short amount of time Collaboration and Innovation: We really believe in creating a partnership with our customers. Using our Accelerated Solutions Environment (ASE), you'll get to know the customer's needs and challenges, demo innovative solutions and quickly solve problems. It'll help you discover unexpected answers together. Why Us? Capgemini Invent UK is a winner at the Glassdoor Employees' Choice Awards for the 2nd year running, placing in the top 50 employers in its list of the Best Places to Work in 2022. At Capgemini Invent we pride ourselves on our collaborative innovation culture and we provide autonomy in driving your own career and developing the skills they need to achieve success. Whilst we're a global consultancy, we're made up of supportive, close-knit communities all working to get the best solutions for our customers and create the best working environment for our employees. We offer formal training and certifications from industry leaders specific to your role, as well as informal trainings, support and mentorship in our User Experience Designer community. We offer interesting and challenging client engagements, opportunities to work and learn from our experienced team of User Experience Designers and the chance to experience a wide range of different clients and industries. Diversity: Capgemini positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. We are committed to hiring, developing and retaining the best people to deliver innovative, world-class solutions for our clients. We foster an inclusive culture that enables everyone to achieve their full potential and enjoy a fulfilling career with us. Our comprehensive flexible benefits package and lifestyle policies enable our employees to balance their individual, family and work-life needs. Learning and development: There's an endless amount to learn at Capgemini, and an endless number of ways to do so. So, you'll also have unique training opportunities to take advantage of. Some of our consultants even have the chance to go to Les Fontaine (near Paris, France), where we host a conference. Outside of dedicated training, everyone makes time to help and support one another - collaboration is encouraged across all of our teams. Work/Life Harmony: We understand that everyone has varied lives and we want you to have a great work-life balance. So, where possible, our Work Life Harmony policy will help you to work flexibly and juggle your work and home life. CSR: We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for an 9th year. When you join Capgemini, you'll join a team that does the right thing. Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. In order to commence a role with Capgemini UK plc you will be required to provide documentary proof prior to joining the Company that you are entitled to live and work in the UK. More information is at available at:
21/09/2022
Full time
At Capgemini Invent, we help our clients to embrace innovation and transformation to get the future they want. By combining strategy, technology, data science, and creative design expertise with an inventive mindset, we partner with our clients to innovate and transform their business, helping them navigate today, while plotting a course for the future. About Capgemini Invent As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth. Capgemini Invent is an integral part of Capgemini, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2021 global revenues of €18 billion Our brand promise "Get The Future You Want" reflects our passion for people and technology and highlights the company's commitment to inclusion and sustainability. An important aspect of 'Get the Future You Want' is to balance hybrid ways of working between your Capgemini office, home, and client location (where applicable). We recognise that it is an imperative to create flexibility so you can enjoy an optimal work-life balance and feel empowered to achieve success. When you come onboard, or before, please discuss this with your manager so you can agree the best ways of working for your role, team, and client. Get The Future You Want See what it's like to work at Capgemini Invent, visit our Glassdoor page What you'll do: Identify and build strong relationships with clients across projects, influencing and collaborating with them on the content Create and iterate accurate user-centred content to a high standard that meets user needs Use analytics data, user feedback and user research to identify the needs of users and map user journeys Make complex language and processes easy to understand Bring new ideas and challenge the status quo Be an advocate for user-centred design, iterative and agile approaches. Skills you'll need: Strong understanding of user-centred design principles and best practice Experience working in multidisciplinary Agile teams to design and deliver user-centred services Experience of designing content for diverse users including accessibility and assisted digital needs Good communication and stakeholder management skills We are hiring all levels of experience. Whether you have been working as part of a small team or leading large or complex engagements, we have the role for you. Potential is also just as important to us as having the required skills. If you have the right mindset and you're passionate about the role, we will be able to provide you with bespoke training and the support to build all the skills you need. An overview of the role: As a Content Designer, you will be joining the growing and exciting Digital Factory community who are continually sharing knowledge and expertise. We are all passionate about user-centred design, critical thinking, problem solving and designing and building digital services and products. Working at Capgemini Invent would give you opportunities to develop and grow, working with major clients in both public and private sector. Our offices are in a variety of locations including London, Manchester and Glasgow. We offer hybrid working, however depending on your project you may have to travel to client locations. The work: No matter the project or customer, your work will have a meaningful impact on society, businesses and lives. It's really rewarding. And it's also really varied. You'll potentially work on a huge variety of projects (some larger than others), so you could gain lots of experience in a short amount of time Collaboration and Innovation: We really believe in creating a partnership with our customers. Using our Accelerated Solutions Environment (ASE), you'll get to know the customer's needs and challenges, demo innovative solutions and quickly solve problems. It'll help you discover unexpected answers together. Why Us? Capgemini Invent UK is a winner at the Glassdoor Employees' Choice Awards for the 2nd year running, placing in the top 50 employers in its list of the Best Places to Work in 2022. At Capgemini Invent we pride ourselves on our collaborative innovation culture and we provide autonomy in driving your own career and developing the skills they need to achieve success. Whilst we're a global consultancy, we're made up of supportive, close-knit communities all working to get the best solutions for our customers and create the best working environment for our employees. We offer formal training and certifications from industry leaders specific to your role, as well as informal trainings, support and mentorship in our User Experience Designer community. We offer interesting and challenging client engagements, opportunities to work and learn from our experienced team of User Experience Designers and the chance to experience a wide range of different clients and industries. Diversity: Capgemini positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. We are committed to hiring, developing and retaining the best people to deliver innovative, world-class solutions for our clients. We foster an inclusive culture that enables everyone to achieve their full potential and enjoy a fulfilling career with us. Our comprehensive flexible benefits package and lifestyle policies enable our employees to balance their individual, family and work-life needs. Learning and development: There's an endless amount to learn at Capgemini, and an endless number of ways to do so. So, you'll also have unique training opportunities to take advantage of. Some of our consultants even have the chance to go to Les Fontaine (near Paris, France), where we host a conference. Outside of dedicated training, everyone makes time to help and support one another - collaboration is encouraged across all of our teams. Work/Life Harmony: We understand that everyone has varied lives and we want you to have a great work-life balance. So, where possible, our Work Life Harmony policy will help you to work flexibly and juggle your work and home life. CSR: We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for an 9th year. When you join Capgemini, you'll join a team that does the right thing. Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. In order to commence a role with Capgemini UK plc you will be required to provide documentary proof prior to joining the Company that you are entitled to live and work in the UK. More information is at available at:
At Capgemini Invent, we help our clients to embrace innovation and transformation to get the future they want. By combining strategy, technology, data science, and creative design expertise with an inventive mindset, we partner with our clients to innovate and transform their business, helping them navigate today, while plotting a course for the future. About Capgemini Invent As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth. Capgemini Invent is an integral part of Capgemini, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2021 global revenues of €18 billion Our brand promise "Get The Future You Want" reflects our passion for people and technology and highlights the company's commitment to inclusion and sustainability. An important aspect of 'Get the Future You Want' is to balance hybrid ways of working between your Capgemini office, home, and client location (where applicable). We recognise that it is an imperative to create flexibility so you can enjoy an optimal work-life balance and feel empowered to achieve success. When you come onboard, or before, please discuss this with your manager so you can agree the best ways of working for your role, team, and client. Get The Future You Want See what it's like to work at Capgemini Invent, visit our Glassdoor page As a User Researcher you'll: Work closely with Product Managers, Designers, developers, and other User Researchers to plan and conduct high-impact research that helps develop a better understanding of our clients' users. Contribute to creating better products and services that solve users' problems and meets their needs. Lead the research for your team, suggesting the best approaches and methodologies to use to capture the right user insights. Plan and run qualitative studies, including remote and in person interviews, observations, diary studies, concept testing and usability studies. Use quantitative methods such as surveys to identify actionable insights and collaborate with the analytics team to enhance qualitative insights. Consider the end-to-end user journey and external factors that may impact the user experience including business, policy, and technical constraints. Communicate research findings and involve your team in analysis and synthesis to develop empathy with the users and enable evidence-based design decisions. Help to embed user-centred design and user research best practices into teams and the wider business. What skills and experience you'll bring: Essential: Hands-on experience of leading user research, using behavioural and attitudinal methods and knowing when to apply them appropriately. Experience across multiple phases of a product or service lifecycle, from discovery and exploration through to design and delivery. Strong storytelling, communication, stakeholder management, and facilitation skills. Experience working in multi-disciplinary, agile teams where you've led the user research and influenced the design of a product or service through the insights you've gathered. Familiarity with using prototypes to test hypotheses, assumptions and validate user journeys. Understanding of a range of tools and practices for in-person and remote research. Bonus Skills: Experience working with Government Digital Service (GDS) service standards A Bachelor's degree inPsychology, sociology, anthropology, Human Computer Interaction or any user experience degree or modules, and passion for technology's unlimited potential and ability to engage with people. You know how to include a diverse range of users in appropriate research activities to help teams deliver accessible services. A love of learning - you can make the most of this growing form of technology to develop your skills in parallel with the needs of your clients. We are hiring all levels of experience. Whether you have been working as part of a small team or leading large or complex engagements, we have the role for you. Potential is also just as important to us as having the required skills. If you have the right mindset and you're passionate about the role, we will be able to provide you with bespoke training and the support to build all the skills you need. An overview of the role: As a User Researcher, you will be joining the growing and exciting Digital Factory community who are continually sharing knowledge and expertise. We are all passionate about user centred design, critical thinking, problem solving and designing and building digital services and products. Working at Capgemini Invent would give you opportunities to develop and grow, working with major clients in both public and private sector (including DWP, NHS Digital, BP and Ikea). Our offices are in a variety of locations including London, Manchester and Glasgow. We offer hybrid working, however depending on your project you may have to travel to client locations. The work: No matter the project or customer, your work will have a meaningful impact on society, businesses and lives. It's really rewarding. And it's also really varied. You'll potentially work on a huge variety of projects (some larger than others), so you could gain lots of experience in a short amount of time Collaboration and Innovation: We really believe in creating a partnership with our customers. Using our Accelerated Solutions Environment (ASE), you'll get to know the customer's needs and challenges, demo innovative solutions and quickly solve problems. It'll help you discover unexpected answers together. Why Us? Capgemini Invent UK is a winner at the Glassdoor Employees' Choice Awards for the 2nd year running, placing in the top 50 employers in its list of the Best Places to Work in 2022. At Capgemini Invent we pride ourselves on our collaborative innovation culture and we provide autonomy in driving your own career and developing the skills they need to achieve success. Whilst we're a global consultancy, we're made up of supportive, close-knit communities all working to get the best solutions for our customers and create the best working environment for our employees. We offer formal training and certifications from industry leaders specific to your role, as well as informal trainings, support and mentorship in our User Experience Designer community. We offer interesting and challenging client engagements, opportunities to work and learn from our experienced team of User Experience Designers and the chance to experience a wide range of different clients and industries. Diversity: Capgemini positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. We are committed to hiring, developing and retaining the best people to deliver innovative, world-class solutions for our clients. We foster an inclusive culture that enables everyone to achieve their full potential and enjoy a fulfilling career with us. Our comprehensive flexible benefits package and lifestyle policies enable our employees to balance their individual, family and work-life needs. Learning and development: There's an endless amount to learn at Capgemini, and an endless number of ways to do so. So, you'll also have unique training opportunities to take advantage of. Some of our consultants even have the chance to go to Les Fontaine (near Paris, France), where we host a conference. Outside of dedicated training, everyone makes time to help and support one another - collaboration is encouraged across all of our teams. Work/Life Harmony: We understand that everyone has varied lives and we want you to have a great work-life balance. So, where possible, our Work Life Harmony policy will help you to work flexibly and juggle your work and home life. CSR: We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for an 9th year. When you join Capgemini, you'll join a team that does the right thing. Whilst you will have London, Manchester or Glasgow as an office base location..... click apply for full job details
21/09/2022
Full time
At Capgemini Invent, we help our clients to embrace innovation and transformation to get the future they want. By combining strategy, technology, data science, and creative design expertise with an inventive mindset, we partner with our clients to innovate and transform their business, helping them navigate today, while plotting a course for the future. About Capgemini Invent As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth. Capgemini Invent is an integral part of Capgemini, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2021 global revenues of €18 billion Our brand promise "Get The Future You Want" reflects our passion for people and technology and highlights the company's commitment to inclusion and sustainability. An important aspect of 'Get the Future You Want' is to balance hybrid ways of working between your Capgemini office, home, and client location (where applicable). We recognise that it is an imperative to create flexibility so you can enjoy an optimal work-life balance and feel empowered to achieve success. When you come onboard, or before, please discuss this with your manager so you can agree the best ways of working for your role, team, and client. Get The Future You Want See what it's like to work at Capgemini Invent, visit our Glassdoor page As a User Researcher you'll: Work closely with Product Managers, Designers, developers, and other User Researchers to plan and conduct high-impact research that helps develop a better understanding of our clients' users. Contribute to creating better products and services that solve users' problems and meets their needs. Lead the research for your team, suggesting the best approaches and methodologies to use to capture the right user insights. Plan and run qualitative studies, including remote and in person interviews, observations, diary studies, concept testing and usability studies. Use quantitative methods such as surveys to identify actionable insights and collaborate with the analytics team to enhance qualitative insights. Consider the end-to-end user journey and external factors that may impact the user experience including business, policy, and technical constraints. Communicate research findings and involve your team in analysis and synthesis to develop empathy with the users and enable evidence-based design decisions. Help to embed user-centred design and user research best practices into teams and the wider business. What skills and experience you'll bring: Essential: Hands-on experience of leading user research, using behavioural and attitudinal methods and knowing when to apply them appropriately. Experience across multiple phases of a product or service lifecycle, from discovery and exploration through to design and delivery. Strong storytelling, communication, stakeholder management, and facilitation skills. Experience working in multi-disciplinary, agile teams where you've led the user research and influenced the design of a product or service through the insights you've gathered. Familiarity with using prototypes to test hypotheses, assumptions and validate user journeys. Understanding of a range of tools and practices for in-person and remote research. Bonus Skills: Experience working with Government Digital Service (GDS) service standards A Bachelor's degree inPsychology, sociology, anthropology, Human Computer Interaction or any user experience degree or modules, and passion for technology's unlimited potential and ability to engage with people. You know how to include a diverse range of users in appropriate research activities to help teams deliver accessible services. A love of learning - you can make the most of this growing form of technology to develop your skills in parallel with the needs of your clients. We are hiring all levels of experience. Whether you have been working as part of a small team or leading large or complex engagements, we have the role for you. Potential is also just as important to us as having the required skills. If you have the right mindset and you're passionate about the role, we will be able to provide you with bespoke training and the support to build all the skills you need. An overview of the role: As a User Researcher, you will be joining the growing and exciting Digital Factory community who are continually sharing knowledge and expertise. We are all passionate about user centred design, critical thinking, problem solving and designing and building digital services and products. Working at Capgemini Invent would give you opportunities to develop and grow, working with major clients in both public and private sector (including DWP, NHS Digital, BP and Ikea). Our offices are in a variety of locations including London, Manchester and Glasgow. We offer hybrid working, however depending on your project you may have to travel to client locations. The work: No matter the project or customer, your work will have a meaningful impact on society, businesses and lives. It's really rewarding. And it's also really varied. You'll potentially work on a huge variety of projects (some larger than others), so you could gain lots of experience in a short amount of time Collaboration and Innovation: We really believe in creating a partnership with our customers. Using our Accelerated Solutions Environment (ASE), you'll get to know the customer's needs and challenges, demo innovative solutions and quickly solve problems. It'll help you discover unexpected answers together. Why Us? Capgemini Invent UK is a winner at the Glassdoor Employees' Choice Awards for the 2nd year running, placing in the top 50 employers in its list of the Best Places to Work in 2022. At Capgemini Invent we pride ourselves on our collaborative innovation culture and we provide autonomy in driving your own career and developing the skills they need to achieve success. Whilst we're a global consultancy, we're made up of supportive, close-knit communities all working to get the best solutions for our customers and create the best working environment for our employees. We offer formal training and certifications from industry leaders specific to your role, as well as informal trainings, support and mentorship in our User Experience Designer community. We offer interesting and challenging client engagements, opportunities to work and learn from our experienced team of User Experience Designers and the chance to experience a wide range of different clients and industries. Diversity: Capgemini positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. We are committed to hiring, developing and retaining the best people to deliver innovative, world-class solutions for our clients. We foster an inclusive culture that enables everyone to achieve their full potential and enjoy a fulfilling career with us. Our comprehensive flexible benefits package and lifestyle policies enable our employees to balance their individual, family and work-life needs. Learning and development: There's an endless amount to learn at Capgemini, and an endless number of ways to do so. So, you'll also have unique training opportunities to take advantage of. Some of our consultants even have the chance to go to Les Fontaine (near Paris, France), where we host a conference. Outside of dedicated training, everyone makes time to help and support one another - collaboration is encouraged across all of our teams. Work/Life Harmony: We understand that everyone has varied lives and we want you to have a great work-life balance. So, where possible, our Work Life Harmony policy will help you to work flexibly and juggle your work and home life. CSR: We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for an 9th year. When you join Capgemini, you'll join a team that does the right thing. Whilst you will have London, Manchester or Glasgow as an office base location..... click apply for full job details
At Capgemini Invent, we help our clients to embrace innovation and transformation to get the future they want. By combining strategy, technology, data science, and creative design expertise with an inventive mindset, we partner with our clients to innovate and transform their business, helping them navigate today, while plotting a course for the future. About Capgemini Invent As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth. Capgemini Invent is an integral part of Capgemini, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2021 global revenues of €18 billion Our brand promise "Get The Future You Want" reflects our passion for people and technology and highlights the company's commitment to inclusion and sustainability. An important aspect of 'Get the Future You Want' is to balance hybrid ways of working between your Capgemini office, home, and client location (where applicable). We recognise that it is an imperative to create flexibility so you can enjoy an optimal work-life balance and feel empowered to achieve success. When you come onboard, or before, please discuss this with your manager so you can agree the best ways of working for your role, team, and client. Get The Future You Want See what it's like to work at Capgemini Invent, visit our Glassdoor page What you'll do: Identify and build strong relationships with clients across projects, influencing and collaborating with them on the content Create and iterate accurate user-centred content to a high standard that meets user needs Use analytics data, user feedback and user research to identify the needs of users and map user journeys Make complex language and processes easy to understand Bring new ideas and challenge the status quo Be an advocate for user-centred design, iterative and agile approaches. Skills you'll need: Strong understanding of user-centred design principles and best practice Experience working in multidisciplinary Agile teams to design and deliver user-centred services Experience of designing content for diverse users including accessibility and assisted digital needs Good communication and stakeholder management skills We are hiring all levels of experience. Whether you have been working as part of a small team or leading large or complex engagements, we have the role for you. Potential is also just as important to us as having the required skills. If you have the right mindset and you're passionate about the role, we will be able to provide you with bespoke training and the support to build all the skills you need. An overview of the role: As a Content Designer, you will be joining the growing and exciting Digital Factory community who are continually sharing knowledge and expertise. We are all passionate about user-centred design, critical thinking, problem solving and designing and building digital services and products. Working at Capgemini Invent would give you opportunities to develop and grow, working with major clients in both public and private sector. Our offices are in a variety of locations including London, Manchester and Glasgow. We offer hybrid working, however depending on your project you may have to travel to client locations. The work: No matter the project or customer, your work will have a meaningful impact on society, businesses and lives. It's really rewarding. And it's also really varied. You'll potentially work on a huge variety of projects (some larger than others), so you could gain lots of experience in a short amount of time Collaboration and Innovation: We really believe in creating a partnership with our customers. Using our Accelerated Solutions Environment (ASE), you'll get to know the customer's needs and challenges, demo innovative solutions and quickly solve problems. It'll help you discover unexpected answers together. Why Us? Capgemini Invent UK is a winner at the Glassdoor Employees' Choice Awards for the 2nd year running, placing in the top 50 employers in its list of the Best Places to Work in 2022. At Capgemini Invent we pride ourselves on our collaborative innovation culture and we provide autonomy in driving your own career and developing the skills they need to achieve success. Whilst we're a global consultancy, we're made up of supportive, close-knit communities all working to get the best solutions for our customers and create the best working environment for our employees. We offer formal training and certifications from industry leaders specific to your role, as well as informal trainings, support and mentorship in our User Experience Designer community. We offer interesting and challenging client engagements, opportunities to work and learn from our experienced team of User Experience Designers and the chance to experience a wide range of different clients and industries. Diversity: Capgemini positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. We are committed to hiring, developing and retaining the best people to deliver innovative, world-class solutions for our clients. We foster an inclusive culture that enables everyone to achieve their full potential and enjoy a fulfilling career with us. Our comprehensive flexible benefits package and lifestyle policies enable our employees to balance their individual, family and work-life needs. Learning and development: There's an endless amount to learn at Capgemini, and an endless number of ways to do so. So, you'll also have unique training opportunities to take advantage of. Some of our consultants even have the chance to go to Les Fontaine (near Paris, France), where we host a conference. Outside of dedicated training, everyone makes time to help and support one another - collaboration is encouraged across all of our teams. Work/Life Harmony: We understand that everyone has varied lives and we want you to have a great work-life balance. So, where possible, our Work Life Harmony policy will help you to work flexibly and juggle your work and home life. CSR: We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for an 9th year. When you join Capgemini, you'll join a team that does the right thing. Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. In order to commence a role with Capgemini UK plc you will be required to provide documentary proof prior to joining the Company that you are entitled to live and work in the UK. More information is at available at:
19/09/2022
Full time
At Capgemini Invent, we help our clients to embrace innovation and transformation to get the future they want. By combining strategy, technology, data science, and creative design expertise with an inventive mindset, we partner with our clients to innovate and transform their business, helping them navigate today, while plotting a course for the future. About Capgemini Invent As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth. Capgemini Invent is an integral part of Capgemini, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2021 global revenues of €18 billion Our brand promise "Get The Future You Want" reflects our passion for people and technology and highlights the company's commitment to inclusion and sustainability. An important aspect of 'Get the Future You Want' is to balance hybrid ways of working between your Capgemini office, home, and client location (where applicable). We recognise that it is an imperative to create flexibility so you can enjoy an optimal work-life balance and feel empowered to achieve success. When you come onboard, or before, please discuss this with your manager so you can agree the best ways of working for your role, team, and client. Get The Future You Want See what it's like to work at Capgemini Invent, visit our Glassdoor page What you'll do: Identify and build strong relationships with clients across projects, influencing and collaborating with them on the content Create and iterate accurate user-centred content to a high standard that meets user needs Use analytics data, user feedback and user research to identify the needs of users and map user journeys Make complex language and processes easy to understand Bring new ideas and challenge the status quo Be an advocate for user-centred design, iterative and agile approaches. Skills you'll need: Strong understanding of user-centred design principles and best practice Experience working in multidisciplinary Agile teams to design and deliver user-centred services Experience of designing content for diverse users including accessibility and assisted digital needs Good communication and stakeholder management skills We are hiring all levels of experience. Whether you have been working as part of a small team or leading large or complex engagements, we have the role for you. Potential is also just as important to us as having the required skills. If you have the right mindset and you're passionate about the role, we will be able to provide you with bespoke training and the support to build all the skills you need. An overview of the role: As a Content Designer, you will be joining the growing and exciting Digital Factory community who are continually sharing knowledge and expertise. We are all passionate about user-centred design, critical thinking, problem solving and designing and building digital services and products. Working at Capgemini Invent would give you opportunities to develop and grow, working with major clients in both public and private sector. Our offices are in a variety of locations including London, Manchester and Glasgow. We offer hybrid working, however depending on your project you may have to travel to client locations. The work: No matter the project or customer, your work will have a meaningful impact on society, businesses and lives. It's really rewarding. And it's also really varied. You'll potentially work on a huge variety of projects (some larger than others), so you could gain lots of experience in a short amount of time Collaboration and Innovation: We really believe in creating a partnership with our customers. Using our Accelerated Solutions Environment (ASE), you'll get to know the customer's needs and challenges, demo innovative solutions and quickly solve problems. It'll help you discover unexpected answers together. Why Us? Capgemini Invent UK is a winner at the Glassdoor Employees' Choice Awards for the 2nd year running, placing in the top 50 employers in its list of the Best Places to Work in 2022. At Capgemini Invent we pride ourselves on our collaborative innovation culture and we provide autonomy in driving your own career and developing the skills they need to achieve success. Whilst we're a global consultancy, we're made up of supportive, close-knit communities all working to get the best solutions for our customers and create the best working environment for our employees. We offer formal training and certifications from industry leaders specific to your role, as well as informal trainings, support and mentorship in our User Experience Designer community. We offer interesting and challenging client engagements, opportunities to work and learn from our experienced team of User Experience Designers and the chance to experience a wide range of different clients and industries. Diversity: Capgemini positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. We are committed to hiring, developing and retaining the best people to deliver innovative, world-class solutions for our clients. We foster an inclusive culture that enables everyone to achieve their full potential and enjoy a fulfilling career with us. Our comprehensive flexible benefits package and lifestyle policies enable our employees to balance their individual, family and work-life needs. Learning and development: There's an endless amount to learn at Capgemini, and an endless number of ways to do so. So, you'll also have unique training opportunities to take advantage of. Some of our consultants even have the chance to go to Les Fontaine (near Paris, France), where we host a conference. Outside of dedicated training, everyone makes time to help and support one another - collaboration is encouraged across all of our teams. Work/Life Harmony: We understand that everyone has varied lives and we want you to have a great work-life balance. So, where possible, our Work Life Harmony policy will help you to work flexibly and juggle your work and home life. CSR: We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for an 9th year. When you join Capgemini, you'll join a team that does the right thing. Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. In order to commence a role with Capgemini UK plc you will be required to provide documentary proof prior to joining the Company that you are entitled to live and work in the UK. More information is at available at:
Ofcom is the regulator for the communications services that we use and rely on each day. We make sure people get the best from their broadband, home phone and mobile services, as well as keeping an eye on TV and radio. We also oversee the universal postal service, look after the airwaves used by wireless devices, and also help to make sure people don't get scammed and are protected from bad practices, and we have recently taken on the regulation of video-sharing platforms, and we are preparing for a role in protecting people from online harms. Protecting consumers is at the heart of what we do. Our culture is clear - we live by our values: Empowerment; Excellence; Collaboration; Agility and Respect. These define how we work to deliver our purpose, now and in the future. The behaviours which support these values set the path for a fully inclusive and innovative culture at Ofcom. We focus not only on what we do, but how we do it. We pride ourselves on being an organisation of people who genuinely care about helping others. The Data Innovation Hub works with colleagues across the organisation to improve Ofcom's capability to process, analyse and extract insights from data. For example, we crunch terabytes of data to give us an unparalleled understanding of the coverage and performance of the UK's broadband and mobile networks. And we're exploring how artificial intelligence and machine learning can help us extract more insights from complex data sets or help us do things more efficiently. Purpose of the role This role will support the delivery of our data strategy and growing data agenda by bringing an open mind and strong intellectual curiosity to develop our data analysis capability. Identifying and solving complex business problems with data science and ensuring that we continue to innovate and leverage our data. We are looking for talent to join a central team that can work with all areas of regulatory work, assisting and working alongside colleagues across the organisation, including those working on the new online safety regime. by, exploring the application of deep learning for anomaly detection, combining social media analysis and natural language processing to understand issues affecting consumers or developing new ways to visualise and interact with our geospatial data. Expectations To work collaboratively with colleagues in the Data Innovation Hub, policy and operations teams to understand where data science can add value and deliver innovative projects Work with data engineers to source, access, manipulate and engineer data across a range of sources and data formats Build credible statistical models from a range of data sources data and use best coding practices to generate reproducible work in an agile way. Taking projects through to productions where appropriate Explore and visualise data to present a story in a meaningful way, and communicate new insights to a range of technical and non-technical audiences Maintain an awareness of, and utilise an evolving range of data analysis tools and techniques, including open source, some of which must be learnt quickly, as and when required Promote data science skills and inspire best practice in other teams, building an understanding the variety of data science methods and how they can be effectively applied to solve problems Ensuring compliance with our relevant data and information security principles Support colleagues in engagement with external stakeholders on a range of data and data science related topics. Essential Skills & Knowledge You will need to demonstrate knowledge or experience of: Translating complex business problems into analytical projects, then leading or delivering impactful data or analysis with tangible outcomes. A range of data and analytic tools (such as Python, R, Power BI, Azure Databricks, or equivalent), and cloud computing environments. Machine Learning, statistics, or other data analysis tools and techniques. In particular, but not limited to, we would welcome applications from candidates with experience in the following areas of data science: Natural Language Processing Geospatial Data Science Graphs / Network Analytics Neural Networks and Deep Learning Additional experience: Applying scientific methods through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions, including reviewing the work of others Acting as a thought leader within the Data Science community, including through management and development of junior staff and others' projects. Exploring and advocating ways of utilising new data science tools and techniques to tackle business and organisational challenges, drawing on the application of, and innovation in communication services industries, academia, and other sectors. Strong interpersonal skills and evidence of ability to interact effectively with a range of stakeholders, both internally and externally, to communicate technical concepts across organisational and technical boundaries. Working independently, demonstrating flexibility and adaptability, and supporting a culture of collaboration and trust. Previous experience in the one of our regulatory areas, particularly in online, would be desirable, but is not essential.
09/11/2021
Full time
Ofcom is the regulator for the communications services that we use and rely on each day. We make sure people get the best from their broadband, home phone and mobile services, as well as keeping an eye on TV and radio. We also oversee the universal postal service, look after the airwaves used by wireless devices, and also help to make sure people don't get scammed and are protected from bad practices, and we have recently taken on the regulation of video-sharing platforms, and we are preparing for a role in protecting people from online harms. Protecting consumers is at the heart of what we do. Our culture is clear - we live by our values: Empowerment; Excellence; Collaboration; Agility and Respect. These define how we work to deliver our purpose, now and in the future. The behaviours which support these values set the path for a fully inclusive and innovative culture at Ofcom. We focus not only on what we do, but how we do it. We pride ourselves on being an organisation of people who genuinely care about helping others. The Data Innovation Hub works with colleagues across the organisation to improve Ofcom's capability to process, analyse and extract insights from data. For example, we crunch terabytes of data to give us an unparalleled understanding of the coverage and performance of the UK's broadband and mobile networks. And we're exploring how artificial intelligence and machine learning can help us extract more insights from complex data sets or help us do things more efficiently. Purpose of the role This role will support the delivery of our data strategy and growing data agenda by bringing an open mind and strong intellectual curiosity to develop our data analysis capability. Identifying and solving complex business problems with data science and ensuring that we continue to innovate and leverage our data. We are looking for talent to join a central team that can work with all areas of regulatory work, assisting and working alongside colleagues across the organisation, including those working on the new online safety regime. by, exploring the application of deep learning for anomaly detection, combining social media analysis and natural language processing to understand issues affecting consumers or developing new ways to visualise and interact with our geospatial data. Expectations To work collaboratively with colleagues in the Data Innovation Hub, policy and operations teams to understand where data science can add value and deliver innovative projects Work with data engineers to source, access, manipulate and engineer data across a range of sources and data formats Build credible statistical models from a range of data sources data and use best coding practices to generate reproducible work in an agile way. Taking projects through to productions where appropriate Explore and visualise data to present a story in a meaningful way, and communicate new insights to a range of technical and non-technical audiences Maintain an awareness of, and utilise an evolving range of data analysis tools and techniques, including open source, some of which must be learnt quickly, as and when required Promote data science skills and inspire best practice in other teams, building an understanding the variety of data science methods and how they can be effectively applied to solve problems Ensuring compliance with our relevant data and information security principles Support colleagues in engagement with external stakeholders on a range of data and data science related topics. Essential Skills & Knowledge You will need to demonstrate knowledge or experience of: Translating complex business problems into analytical projects, then leading or delivering impactful data or analysis with tangible outcomes. A range of data and analytic tools (such as Python, R, Power BI, Azure Databricks, or equivalent), and cloud computing environments. Machine Learning, statistics, or other data analysis tools and techniques. In particular, but not limited to, we would welcome applications from candidates with experience in the following areas of data science: Natural Language Processing Geospatial Data Science Graphs / Network Analytics Neural Networks and Deep Learning Additional experience: Applying scientific methods through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions, including reviewing the work of others Acting as a thought leader within the Data Science community, including through management and development of junior staff and others' projects. Exploring and advocating ways of utilising new data science tools and techniques to tackle business and organisational challenges, drawing on the application of, and innovation in communication services industries, academia, and other sectors. Strong interpersonal skills and evidence of ability to interact effectively with a range of stakeholders, both internally and externally, to communicate technical concepts across organisational and technical boundaries. Working independently, demonstrating flexibility and adaptability, and supporting a culture of collaboration and trust. Previous experience in the one of our regulatory areas, particularly in online, would be desirable, but is not essential.
