White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We'd love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll workThis is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.
May 04, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We'd love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll workThis is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.
White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We'd love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll workThis is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.
May 04, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We'd love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll workThis is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.
Data Scientist - Defence & Security £Up to £75,000 GBP Bonus Onsite WORKING Location: Manchester; Bristol; London , Central London, Greater London - United Kingdom Type: Permanent Data Scientist Specialist (MLOps & GenAI) Bristol Onsite/Hybrid Permanent Our client is a leading global technology and consulting organisation , recognised as one of Fortune's World's Most Admired Companies , delivering ad click apply for full job details
May 04, 2026
Full time
Data Scientist - Defence & Security £Up to £75,000 GBP Bonus Onsite WORKING Location: Manchester; Bristol; London , Central London, Greater London - United Kingdom Type: Permanent Data Scientist Specialist (MLOps & GenAI) Bristol Onsite/Hybrid Permanent Our client is a leading global technology and consulting organisation , recognised as one of Fortune's World's Most Admired Companies , delivering ad click apply for full job details
Data Scientist - Defence & Security £Up to £75,000 GBP Bonus Onsite WORKING Location: Manchester; Bristol; London , Central London, Greater London - United Kingdom Type: Permanent Data Scientist Specialist (MLOps & GenAI) Bristol Onsite/Hybrid Permanent Our client is a leading global technology and consulting organisation , recognised as one of Fortune's World's Most Admired Companies , delivering ad click apply for full job details
May 04, 2026
Full time
Data Scientist - Defence & Security £Up to £75,000 GBP Bonus Onsite WORKING Location: Manchester; Bristol; London , Central London, Greater London - United Kingdom Type: Permanent Data Scientist Specialist (MLOps & GenAI) Bristol Onsite/Hybrid Permanent Our client is a leading global technology and consulting organisation , recognised as one of Fortune's World's Most Admired Companies , delivering ad click apply for full job details
Data Scientist (MLOps / GenAI Focus) Location: Bristol Salary: Competitive + Benefits Join a cutting-edge AI team working at the forefront of GenAI, MLOps, and secure cloud deployments within highly regulated environments. The Role Youll act as a technical specialist and team lead, delivering innovative machine learning solutions: Building and deploying LLMs and ML models (cloud or HPC) Leading tec click apply for full job details
May 04, 2026
Full time
Data Scientist (MLOps / GenAI Focus) Location: Bristol Salary: Competitive + Benefits Join a cutting-edge AI team working at the forefront of GenAI, MLOps, and secure cloud deployments within highly regulated environments. The Role Youll act as a technical specialist and team lead, delivering innovative machine learning solutions: Building and deploying LLMs and ML models (cloud or HPC) Leading tec click apply for full job details
Health Economist (Consultant) Location - London or Winchester with a MINIMUM of 2 days per week (40%) in the office with Tuesday as the team day In 2020 LCP launched our Heath practice, providing analytical and research services for organisations across the life sciences and healthcare industries. Our team brings together, health economists, statisticians, market access specialists, epidemiologists, clinicians, and health data scientists alongside our established actuarial, analytics and technology teams to deliver new solutions for the fundamental challenges in health. We have built a track record for leading approaches to real world evidence generation, health economic modelling, and innovative reimbursement design. We have been growing the team quickly in response to the demand we are seeing for the service offerings we have developed and now have a team of over 50 people working across four service areas of evidence generation, HEOR, market access, and integrated omics. Our team's mission is to help move health systems from importers of illness to exporters of health and to support our clients to deliver value to patients. This is underpinned by our approach to support clients to improve the population's health and reduce inequalities. Our work LCP's Health team works across the healthcare and life sciences markets, combining health expertise with innovative approaches from our work in other sectors to tackle leading health issues. Joining LCP's Health team will provide you with opportunities to work on a range of projects based on your interests and skillset. Examples of the types of projects that we undertake for our clients include: Estimating the cost effectiveness or budget impact of interventions using traditional HTA methods but also more holistically from both patients and health systems perspectives. Associated activities include: Model conceptualisation and input into evidence generation strategies Model programming including supporting input sourcing and statistical analysis Model validation and expert elicitation Reporting/publications Risk prediction and modelling Forecasting disease burden, healthcare demand (e.g., analysis of waiting list data) and cost Innovative approaches to identifying and quantifying unmet need and inequalities Market access landscape and strategy Data landscaping and evidence generation strategy Real world evidence studies using electronic healthcare records, registries, biobanks and databases Design and simulation of reimbursement models including outcome-based agreements What will you be doing? As Consultant in LCP's Health team you will be involved in a diverse range of projects, covering both client and non-client work. Your key responsibilities will be to: Lead projects day-to-day including coordination and project management of internal delivery teams alongside client-facing coordination of projects Design solutions to the complex problems our clients in the healthcare and life sciences industry face and present these solutions in an accessible manner Demonstrate a high level of expertise in health economic approaches and methods People responsibilities including the line management and development of less experienced members of the team, depending on your experience and interest What skills, experience and qualities are we looking for? Essential: Demonstrable, relevant experience in a Health Economics role in a consultancy environment A minimum 2:1 degree in a numerate or science subject, and a health-related Masters degree or PhD (Health Economics, Statistics, Public Health, Epidemiology, Data Science) Excellent grounding in Health Economics with demonstrated experience in conceptualising and delivering a range of health economic analyses Excellent communication and presentation skills (written and oral) with the ability to explain complex issues to others Excellent Microsoft Office skills, highly competent in the use of Outlook, Excel, Word, and PowerPoint Initiative in every aspect of your work and creativity in developing original solutions to problems Comfortable leading on day-to-day project activities and managing the workload of less experienced team members Agility to be able to work as part of a dynamic, growing team seeking to advance methods and leverage evolving technology, e.g., AI Comfortable engaging in a variety of project types, including across market access and evidence generation as needed with appropriate support Comfortable managing a fluctuating workload including regular multi-tasking across client projects, project management of client engagements, and the mentoring and coordination of less experienced team members Commitment to consistently delivering high quality work for clients which may, from time to time, require extra hours to be worked Desirable: Programming experience in R or Python Experience in methods for external comparator arms (e.g. MAIC and similar methods) Experience working on HTA submissions Experience undertaking statistical analyses (e.g., survival analysis, utility analysis) to support economic evaluation Experience in business development activities, including proposal writing and pitch presentations What's in it for you? Take a look at our Glassdoor and Career stories pages to see why our people love being here! As well as joining a certified B-Corp, multi-award winning, fun, collaborative, people first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. Currently our core benefits package includes: For you: Hybrid working (see top of the advert for details) Professional study support (where applicable) Access to our internal Wellbeing, LGBTQ+, Multicultural and Women's networks For your family: Life assurance Income protection Enhanced maternity/paternity/adoption and shared parental leave For your health: 26 days annual leave (pro-rata for part-time working) plus bank holidays (most of which can be taken flexibly!) with options to buy & sell holidayPrivate medical insuranceDiscou
May 04, 2026
Full time
Health Economist (Consultant) Location - London or Winchester with a MINIMUM of 2 days per week (40%) in the office with Tuesday as the team day In 2020 LCP launched our Heath practice, providing analytical and research services for organisations across the life sciences and healthcare industries. Our team brings together, health economists, statisticians, market access specialists, epidemiologists, clinicians, and health data scientists alongside our established actuarial, analytics and technology teams to deliver new solutions for the fundamental challenges in health. We have built a track record for leading approaches to real world evidence generation, health economic modelling, and innovative reimbursement design. We have been growing the team quickly in response to the demand we are seeing for the service offerings we have developed and now have a team of over 50 people working across four service areas of evidence generation, HEOR, market access, and integrated omics. Our team's mission is to help move health systems from importers of illness to exporters of health and to support our clients to deliver value to patients. This is underpinned by our approach to support clients to improve the population's health and reduce inequalities. Our work LCP's Health team works across the healthcare and life sciences markets, combining health expertise with innovative approaches from our work in other sectors to tackle leading health issues. Joining LCP's Health team will provide you with opportunities to work on a range of projects based on your interests and skillset. Examples of the types of projects that we undertake for our clients include: Estimating the cost effectiveness or budget impact of interventions using traditional HTA methods but also more holistically from both patients and health systems perspectives. Associated activities include: Model conceptualisation and input into evidence generation strategies Model programming including supporting input sourcing and statistical analysis Model validation and expert elicitation Reporting/publications Risk prediction and modelling Forecasting disease burden, healthcare demand (e.g., analysis of waiting list data) and cost Innovative approaches to identifying and quantifying unmet need and inequalities Market access landscape and strategy Data landscaping and evidence generation strategy Real world evidence studies using electronic healthcare records, registries, biobanks and databases Design and simulation of reimbursement models including outcome-based agreements What will you be doing? As Consultant in LCP's Health team you will be involved in a diverse range of projects, covering both client and non-client work. Your key responsibilities will be to: Lead projects day-to-day including coordination and project management of internal delivery teams alongside client-facing coordination of projects Design solutions to the complex problems our clients in the healthcare and life sciences industry face and present these solutions in an accessible manner Demonstrate a high level of expertise in health economic approaches and methods People responsibilities including the line management and development of less experienced members of the team, depending on your experience and interest What skills, experience and qualities are we looking for? Essential: Demonstrable, relevant experience in a Health Economics role in a consultancy environment A minimum 2:1 degree in a numerate or science subject, and a health-related Masters degree or PhD (Health Economics, Statistics, Public Health, Epidemiology, Data Science) Excellent grounding in Health Economics with demonstrated experience in conceptualising and delivering a range of health economic analyses Excellent communication and presentation skills (written and oral) with the ability to explain complex issues to others Excellent Microsoft Office skills, highly competent in the use of Outlook, Excel, Word, and PowerPoint Initiative in every aspect of your work and creativity in developing original solutions to problems Comfortable leading on day-to-day project activities and managing the workload of less experienced team members Agility to be able to work as part of a dynamic, growing team seeking to advance methods and leverage evolving technology, e.g., AI Comfortable engaging in a variety of project types, including across market access and evidence generation as needed with appropriate support Comfortable managing a fluctuating workload including regular multi-tasking across client projects, project management of client engagements, and the mentoring and coordination of less experienced team members Commitment to consistently delivering high quality work for clients which may, from time to time, require extra hours to be worked Desirable: Programming experience in R or Python Experience in methods for external comparator arms (e.g. MAIC and similar methods) Experience working on HTA submissions Experience undertaking statistical analyses (e.g., survival analysis, utility analysis) to support economic evaluation Experience in business development activities, including proposal writing and pitch presentations What's in it for you? Take a look at our Glassdoor and Career stories pages to see why our people love being here! As well as joining a certified B-Corp, multi-award winning, fun, collaborative, people first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. Currently our core benefits package includes: For you: Hybrid working (see top of the advert for details) Professional study support (where applicable) Access to our internal Wellbeing, LGBTQ+, Multicultural and Women's networks For your family: Life assurance Income protection Enhanced maternity/paternity/adoption and shared parental leave For your health: 26 days annual leave (pro-rata for part-time working) plus bank holidays (most of which can be taken flexibly!) with options to buy & sell holidayPrivate medical insuranceDiscou
ROYAL COLLEGE OF PATHOLOGISTS
Tower Hamlets, London
About you An experienced leader with a track record of delivering complex programmes of work, ideally within in a healthcare setting. You excel at driving improvement and managing high-performing teams. You combine a strategic mindset with the ability to translate complex data into the clear insights needed for effective advocacy and decision-making. A natural collaborator, you build influential relationships with senior clinicians, volunteers, and external partners to support meaningful change. If you are ready to turn ambitious plans into action, this is your chance to shape the future of pathology-ensuring the sector has the intelligence and resources it needs to deliver excellent patient care. About the College The Royal College of Pathologists is a professional membership organisation with charitable status concerned with all matters relating to the science and practice of pathology. It is a body of its Fellows, Diplomates, Affiliates and trainees, supported by the staff who are based at the College's London offices. The College is a charity with over 13000 members worldwide. The majority of members are doctors and scientists working in hospitals and universities in the UK. The College oversees the training of pathologists and scientists working in 17 different specialties, which include cellular pathology, haematology, clinical biochemistry and medical microbiology. Although some pathologists work in laboratories, many work directly with patients in hospitals and the community. Together, they are involved in the majority of all diagnoses and play an important role in disease prevention, treatment, and monitoring. If you have ever had a blood test, cervical smear or tissue biopsy, a pathologist will have been involved in your care. The Royal College of Pathologists understands the value and strength that diversity brings and we are proud to be an organisation of members from a wide range of backgrounds. We are keen to encourage and enable more people of all identities and from all backgrounds to become involved in the College. Interviews currently expected to be 27 and 28 May 2026. We reserve the right to close the position early if we receive a large number of suitable applications.
May 04, 2026
Full time
About you An experienced leader with a track record of delivering complex programmes of work, ideally within in a healthcare setting. You excel at driving improvement and managing high-performing teams. You combine a strategic mindset with the ability to translate complex data into the clear insights needed for effective advocacy and decision-making. A natural collaborator, you build influential relationships with senior clinicians, volunteers, and external partners to support meaningful change. If you are ready to turn ambitious plans into action, this is your chance to shape the future of pathology-ensuring the sector has the intelligence and resources it needs to deliver excellent patient care. About the College The Royal College of Pathologists is a professional membership organisation with charitable status concerned with all matters relating to the science and practice of pathology. It is a body of its Fellows, Diplomates, Affiliates and trainees, supported by the staff who are based at the College's London offices. The College is a charity with over 13000 members worldwide. The majority of members are doctors and scientists working in hospitals and universities in the UK. The College oversees the training of pathologists and scientists working in 17 different specialties, which include cellular pathology, haematology, clinical biochemistry and medical microbiology. Although some pathologists work in laboratories, many work directly with patients in hospitals and the community. Together, they are involved in the majority of all diagnoses and play an important role in disease prevention, treatment, and monitoring. If you have ever had a blood test, cervical smear or tissue biopsy, a pathologist will have been involved in your care. The Royal College of Pathologists understands the value and strength that diversity brings and we are proud to be an organisation of members from a wide range of backgrounds. We are keen to encourage and enable more people of all identities and from all backgrounds to become involved in the College. Interviews currently expected to be 27 and 28 May 2026. We reserve the right to close the position early if we receive a large number of suitable applications.
White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We'd love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll work This is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
May 04, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We'd love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll work This is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We'd love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll work This is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
May 04, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We'd love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll work This is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We'd love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll work This is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
May 04, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We'd love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll work This is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Software Engineer (Junior-Senior) £50,000-£80,000+ Hybrid Defence Sector Ready to build software that makes a real-world impact? Join a high-performing engineering team delivering mission-critical solutions within the defence and national security space. You'll work on complex, high-stakes systems where reliability, performance, and security are paramount - contributing to technology that truly matters. This opportunity is open to engineers across Junior, Mid, and Senior levels , offering clear progression, exposure to cutting-edge technologies, and the chance to work alongside experienced engineers, data scientists, and domain experts. What You'll Do Design, develop, and maintain secure, high-performance software systems Write clean, scalable code in languages such as Python, C++, Java, or JavaScript Contribute to system architecture and technical decision-making (level dependent) Collaborate with cross-functional teams including engineering, data, and product Work on cloud-based and on-premise infrastructure (AWS / Azure / secure environments) Support CI/CD pipelines, testing, and deployment in regulated environments Ensure software meets strict security and compliance standards What We're Looking For STEM degree (Computer Science, Engineering, Mathematics, Physics, or similar) Experience level: Junior: Strong academic background + internships/personal projects Mid: Commercial experience delivering production-grade software Senior: Proven track record in system design, leadership, and delivery Proficiency in at least one core language: Python, C++, Java, or JavaScript Strong problem-solving skills and ability to work in complex environments Familiarity with Git, testing practices, and software development lifecycle Highly Desirable: Experience with cloud platforms (AWS, Azure) Exposure to DevOps practices (CI/CD, containerisation, infrastructure as code) Knowledge of secure software development or regulated industries Important Requirements Must be eligible for UK Security Clearance (SC/DV) Must be willing to work within the defence/national security sector Why Join Impact: Work on systems that support national security and critical operations Progression: Clear career pathways from Junior to Senior and beyond Learning: Ongoing technical development and exposure to advanced technologies Environment: Collaborative, mission-driven engineering culture Benefits: Competitive salary, bonus, hybrid working, and long-term career stability Apply Now If you're motivated by solving complex problems and want to build secure, high-impact systems, we'd love to hear from you.
May 03, 2026
Full time
Software Engineer (Junior-Senior) £50,000-£80,000+ Hybrid Defence Sector Ready to build software that makes a real-world impact? Join a high-performing engineering team delivering mission-critical solutions within the defence and national security space. You'll work on complex, high-stakes systems where reliability, performance, and security are paramount - contributing to technology that truly matters. This opportunity is open to engineers across Junior, Mid, and Senior levels , offering clear progression, exposure to cutting-edge technologies, and the chance to work alongside experienced engineers, data scientists, and domain experts. What You'll Do Design, develop, and maintain secure, high-performance software systems Write clean, scalable code in languages such as Python, C++, Java, or JavaScript Contribute to system architecture and technical decision-making (level dependent) Collaborate with cross-functional teams including engineering, data, and product Work on cloud-based and on-premise infrastructure (AWS / Azure / secure environments) Support CI/CD pipelines, testing, and deployment in regulated environments Ensure software meets strict security and compliance standards What We're Looking For STEM degree (Computer Science, Engineering, Mathematics, Physics, or similar) Experience level: Junior: Strong academic background + internships/personal projects Mid: Commercial experience delivering production-grade software Senior: Proven track record in system design, leadership, and delivery Proficiency in at least one core language: Python, C++, Java, or JavaScript Strong problem-solving skills and ability to work in complex environments Familiarity with Git, testing practices, and software development lifecycle Highly Desirable: Experience with cloud platforms (AWS, Azure) Exposure to DevOps practices (CI/CD, containerisation, infrastructure as code) Knowledge of secure software development or regulated industries Important Requirements Must be eligible for UK Security Clearance (SC/DV) Must be willing to work within the defence/national security sector Why Join Impact: Work on systems that support national security and critical operations Progression: Clear career pathways from Junior to Senior and beyond Learning: Ongoing technical development and exposure to advanced technologies Environment: Collaborative, mission-driven engineering culture Benefits: Competitive salary, bonus, hybrid working, and long-term career stability Apply Now If you're motivated by solving complex problems and want to build secure, high-impact systems, we'd love to hear from you.
Job Title : Senior Data Quality Analyst Target Start Date: Q2 2026 Contract Type: Permanent, Full Time Salary Range: £65,000 - £70,000 Location: Eastleigh, Hybrid (1x week) Closing Date for applications: 7th May Senior Data Quality Analyst: We are currently looking for a Senior Data Quality Analyst. You will work alongside Data Scientists, Engineers, Architects and Analysts to support the design, build and maintenance of cutting-edge data and AI services, ensuring strong data quality practices are embedded and monitored from the outset. Working closely with our governance leads and collaborating with risk, compliance and privacy teams, you'll help establish enterprise standards and drive trusted, high-quality data that powers analytics and AI innovation. Main Responsibilities as Senior Data Quality Analyst: Provide data quality advice and guidance across the business, promoting best practice and pragmatic solutions Design and implement data quality processes, controls and monitoring across our data platforms and enterprise systems Develop data profiling, reporting and monitoring solutions using SQL and Python Collaborate with data owners, stewards and the wider data community to improve trust and quality in critical datasets Curate and maintain key data artefacts such as data catalogues, dictionaries, lineage and asset registers Champion the value of data quality through governance forums, stakeholder engagement and guidance materials Support delivery of the strategic data quality roadmap and key governance outcomes Work with architects and AI teams to ensure high-quality, well-governed data supports scalable data products and GenAI services Skills and experience you need as Senior Data Quality Analyst: Strong experience implementing data quality processes and governance frameworks within complex data environments Hands-on coding capability in SQL, with experience using Python for data manipulation, profiling or automation Experience working with modern cloud data platforms, particularly Databricks Experience profiling datasets and defining data quality rules, controls and monitoring approaches Experience working with data governance frameworks and collaborating with data owners, stewards and governance teams Familiarity with data governance and data management tooling such as Unity Catalog, Collibra or similar Strong stakeholder engagement skills with the ability to influence across technical and non-technical teams Interest in AI and emerging technologies, and an understanding of how strong data management enables advanced analytics and GenAI Qualifications : DAMA CDMP (Certified Data Management Professional) or equivalent. Recognised Data Quality Specialist certification or training. Desirable: Experience in the insurance or financial services sector. Exposure to data migration or transformation programmes. At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK. Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness. Supporting your Wealth- Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruit
May 03, 2026
Full time
Job Title : Senior Data Quality Analyst Target Start Date: Q2 2026 Contract Type: Permanent, Full Time Salary Range: £65,000 - £70,000 Location: Eastleigh, Hybrid (1x week) Closing Date for applications: 7th May Senior Data Quality Analyst: We are currently looking for a Senior Data Quality Analyst. You will work alongside Data Scientists, Engineers, Architects and Analysts to support the design, build and maintenance of cutting-edge data and AI services, ensuring strong data quality practices are embedded and monitored from the outset. Working closely with our governance leads and collaborating with risk, compliance and privacy teams, you'll help establish enterprise standards and drive trusted, high-quality data that powers analytics and AI innovation. Main Responsibilities as Senior Data Quality Analyst: Provide data quality advice and guidance across the business, promoting best practice and pragmatic solutions Design and implement data quality processes, controls and monitoring across our data platforms and enterprise systems Develop data profiling, reporting and monitoring solutions using SQL and Python Collaborate with data owners, stewards and the wider data community to improve trust and quality in critical datasets Curate and maintain key data artefacts such as data catalogues, dictionaries, lineage and asset registers Champion the value of data quality through governance forums, stakeholder engagement and guidance materials Support delivery of the strategic data quality roadmap and key governance outcomes Work with architects and AI teams to ensure high-quality, well-governed data supports scalable data products and GenAI services Skills and experience you need as Senior Data Quality Analyst: Strong experience implementing data quality processes and governance frameworks within complex data environments Hands-on coding capability in SQL, with experience using Python for data manipulation, profiling or automation Experience working with modern cloud data platforms, particularly Databricks Experience profiling datasets and defining data quality rules, controls and monitoring approaches Experience working with data governance frameworks and collaborating with data owners, stewards and governance teams Familiarity with data governance and data management tooling such as Unity Catalog, Collibra or similar Strong stakeholder engagement skills with the ability to influence across technical and non-technical teams Interest in AI and emerging technologies, and an understanding of how strong data management enables advanced analytics and GenAI Qualifications : DAMA CDMP (Certified Data Management Professional) or equivalent. Recognised Data Quality Specialist certification or training. Desirable: Experience in the insurance or financial services sector. Exposure to data migration or transformation programmes. At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK. Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness. Supporting your Wealth- Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruit
BREEDON GROUP PLC is a leading construction materials group operating from over 400 sites across the UK, Ireland and US. We are growing! At Breedon we have an opportunity to join our Data & Analytics Team with an exciting plan and long-term vision. We are seeking an experienced Data Engineer, with skills in Microsoft Azure and SQL, to take the contribute to the design, build and deployment of our Azure data platform in line with our enterprise architecture. Key Responsibilities As we set out on the journey of moving towards a data led organisation, we have identified the need for an individual to transform our data management capabilities, implementing and maintaining a new Azure data platform which will enable our ambitions to become a data driven business. We are looking for an experienced individual who can support in the design and implementation of the data platform strategy and architecture that aligns with business objectives and building robust data pipelines. This will include the provision of a platform for analysts, data scientists and engineers, providing them with the data and an environment from which they can fulfil their roles. By investing in our data platform, we will transform the way we work, making us more effective, efficient and profitable for the future. We are looking to exceed the requirements set out by our stakeholders. Skills, Knowledge & Expertise Experience and knowledge: Proven experience in data engineering and cloud data platform development, with a strong focus on Microsoft Azure Demonstrated track record of designing, building, and maintaining end-to-end data pipelines using Azure-native technologies, including Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics and/or Databricks. Strong foundation in data modelling and data warehousing concepts (star/snowflake schemas, SCD2, Dimensions/Facts) Proficient in SQL and Python, with hands-on experience using PySpark, Spark SQL, and/or Pandas. Experience in technical documentation of migration processes, data mappings, data quality checks, and testing outcomes. Ability to work closely with business stakeholders, translating business and technical requirements into effective data transformation and modelling solutions Exposure to DevOps and CI/CD practices including source control, automated deployments and environment promotion. (desirable) Working knowledge of APIs (REST/SOAP) and common integration patterns (desirable) Working Knowledge of other Azure Integration tools like Azure Functions, Azure Logic Apps, API Management, Service Bus, Event Grid (desirable). Experience working with semi-structured data formats such as JSON and XML (desirable) Skills: Tenacious and curious nature that enables uncovering data availability and data quality constraints early in the process Problem solving - the ability to identify creative solutions to overcome problems Ability to impart knowledge and offer options to colleagues across the group Working with multiple data sources at one time delivering solutions that enable insights into complex data sets Personal Attributes: Ability to work to tight deadlines Ability to think and act purposefully and methodically A partnership approach to working with a variety of stakeholders Ability to keep it simple and to make it happen Thirst for continuous improvement Strong communication and engagement - ability to communicate calmly under pressure Positive and open outlook Job Benefits 25 days holiday plus bank holidays Contributory Pension Scheme Free on-site Parking Holiday Buy Scheme Volunteer Scheme Share Save Scheme Life Assurance Enhanced Maternity, Adoption & Paternity Scheme Health & Wellbeing Initiatives Discount Scheme
May 03, 2026
Full time
BREEDON GROUP PLC is a leading construction materials group operating from over 400 sites across the UK, Ireland and US. We are growing! At Breedon we have an opportunity to join our Data & Analytics Team with an exciting plan and long-term vision. We are seeking an experienced Data Engineer, with skills in Microsoft Azure and SQL, to take the contribute to the design, build and deployment of our Azure data platform in line with our enterprise architecture. Key Responsibilities As we set out on the journey of moving towards a data led organisation, we have identified the need for an individual to transform our data management capabilities, implementing and maintaining a new Azure data platform which will enable our ambitions to become a data driven business. We are looking for an experienced individual who can support in the design and implementation of the data platform strategy and architecture that aligns with business objectives and building robust data pipelines. This will include the provision of a platform for analysts, data scientists and engineers, providing them with the data and an environment from which they can fulfil their roles. By investing in our data platform, we will transform the way we work, making us more effective, efficient and profitable for the future. We are looking to exceed the requirements set out by our stakeholders. Skills, Knowledge & Expertise Experience and knowledge: Proven experience in data engineering and cloud data platform development, with a strong focus on Microsoft Azure Demonstrated track record of designing, building, and maintaining end-to-end data pipelines using Azure-native technologies, including Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics and/or Databricks. Strong foundation in data modelling and data warehousing concepts (star/snowflake schemas, SCD2, Dimensions/Facts) Proficient in SQL and Python, with hands-on experience using PySpark, Spark SQL, and/or Pandas. Experience in technical documentation of migration processes, data mappings, data quality checks, and testing outcomes. Ability to work closely with business stakeholders, translating business and technical requirements into effective data transformation and modelling solutions Exposure to DevOps and CI/CD practices including source control, automated deployments and environment promotion. (desirable) Working knowledge of APIs (REST/SOAP) and common integration patterns (desirable) Working Knowledge of other Azure Integration tools like Azure Functions, Azure Logic Apps, API Management, Service Bus, Event Grid (desirable). Experience working with semi-structured data formats such as JSON and XML (desirable) Skills: Tenacious and curious nature that enables uncovering data availability and data quality constraints early in the process Problem solving - the ability to identify creative solutions to overcome problems Ability to impart knowledge and offer options to colleagues across the group Working with multiple data sources at one time delivering solutions that enable insights into complex data sets Personal Attributes: Ability to work to tight deadlines Ability to think and act purposefully and methodically A partnership approach to working with a variety of stakeholders Ability to keep it simple and to make it happen Thirst for continuous improvement Strong communication and engagement - ability to communicate calmly under pressure Positive and open outlook Job Benefits 25 days holiday plus bank holidays Contributory Pension Scheme Free on-site Parking Holiday Buy Scheme Volunteer Scheme Share Save Scheme Life Assurance Enhanced Maternity, Adoption & Paternity Scheme Health & Wellbeing Initiatives Discount Scheme
Chair in Drug Discovery Department Faculty of Science Salary Starting from £75,182, rising to £138,905 Contract Type Full Time, Open Ended Closing Date Tuesday 26 May 2026 About the role The Departments of Life Sciences and Chemistry are seeking an exceptional research leader to join us as Chair in Drug Discovery, a strategic joint appointment across the two departments that will help shape the future of therapeutic innovation at Bath and play a central role in the new Centre for Drug Discovery (CDD). CDD is a major cross-faculty initiative bringing together chemists, biologists, data scientists and engineers to accelerate drug discovery through innovation in synthesis, screening, computation and translation. The Centre will focus on emerging modalities and enabling technologies from cyclic small molecules, peptides, antibodies and macrocycles, exploring new 3D chemical space to AI-guided synthesis, flow automation and direct-to-biology screening. By integrating Bath's strengths in synthetic chemistry, chemical and structural biology and advanced delivery science, the CDD will offer a distinctive environment for developing next-generation molecular tools and therapeutic leads. About you: Demonstrate inclusive leadership and a commitment to fostering a diverse research environment Have a strong track record of internationally recognised research in drug discovery Are passionate about collaboration across disciplines and sectors Can mentor and support researchers at all career stages, including Bath Prize Fellows Engage with industry and innovation networks to translate discoveries into real-world impact Can teach aspects of drug discovery in both lectures and laboratory classes and contribute to our PGT course on Drug Discovery (joint between the departments of Chemistry and Life Sciences), maintaining the University's high standards in teaching and learning, and its inclusive and supportive learning environment While we encourage applications from a range of backgrounds, we particularly welcome candidates whose research aligns with one or more of the following areas: Medicinal chemistry for emerging modalities such as peptides, molecular glues, PROTACs, ADCs or covalent inhibitors Innovative screening approaches, e.g. DNA-encoded libraries, affinity-selection mass spectrometry, chemoproteomics or AI/ML-driven virtual screening Computational drug discovery, including molecular design, macrocycle conformations, docking, or predictive models for permeability and pharmacokinetics About Drug Discovery at Bath Drug discovery at Bath is driven by close integration between the Departments of Life Sciences and Chemistry, uniting expertise in peptide design, synthetic chemistry, chemoproteomics and computational modelling. Core strengths include chemical and structural biology, pharmacology and antibiotic discovery, with projects spanning early-stage molecular design through to pre-clinical mechanism-of-action studies. Life Sciences provides cutting-edge laboratories for molecular and cellular biology, microbiology and pharmaceutical sciences, including tissue-culture suites, automated liquid handling and a zebrafish facility for in vivo pharmacology. Chemistry complements this with world-class infrastructure for automated and flow synthesis, compound characterisation (MS, NMR, DReaM Facility) and access to Bath's High-Performance Computing and AI/ML platforms for virtual screening and molecular design. Both departments have a strong track record in innovation with a number of spin-out companies. The new appointment will join a vibrant cross-faculty community engaging with industry, the regional GW4 innovation network and an opportunity to benefit from the South-West Life Science network. Together, these resources offer an exceptional environment for innovative researchers to develop and test new approaches to molecular discovery. Informal enquiries & application For informal enquiries, please contact Dr Amanda Mackenzie, Head of Life Sciences or Professor Matthew Jones, Head of Chemistry. Please ensure applications are submitted via the University's online system. Alongside the online form, upload a full CV. This is a full-time role (36.5 hours per week). Interviews for this position will take place on 22 and 23 June 2026 (a 2-day process). We are committed to providing a supportive and inclusive working environment for all staff, including mentorship and flexible working arrangements. The Departments of Life Science, Chemistry and the University currently hold Athena SWAN Silver awards, and we are working to further improve equality, diversity and inclusion for the benefit of all staff. If you would like to discuss any issues or other aspects of the working environment with a member of staff who is not involved in the recruitment process, please contact Prof Stephen Husbands, Director of Research in the Department of Life Sciences. What we can offer you: We're continually expanding our benefits package to better support you and enhance your experience with us, and the below is just an example of some of the many great benefits we offer: Free counselling services through Health Assured Cycle to work scheme Electric vehicle salary sacrifice scheme Staff discount at Team Bath gym Staff discounts on postgraduate tuition fees Staff discount on language courses Generous employer contributory pension schemes Generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work-life balance A wide range of personal and professional development opportunities, including Apprenticeships, LinkedIn Learning and more Free entry to the Holburne Museum in Bath Local discounts and more A family-friendly workplace An excellent reward package that recognises the talents of our diverse workforce Relocation allowance Visa reimbursement and Interest-Free Loan to help with the cost of some immigration expenses Find out more about our benefits on our website and watch the video to hear from our staff about what makes the University of Bath a great place to work, as well as following us on X and LinkedIn. Right to Work in the UK: We do not assess immigration or right to work status until offer stage. Being invited to interview does not guarantee you are eligible for visa sponsorship, and all offers are conditional on meeting right to work requirements. Further information is available on our application support webpage. Anonymous shortlisting: We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name may be removed from application forms at the initial shortlisting stage.
May 03, 2026
Full time
Chair in Drug Discovery Department Faculty of Science Salary Starting from £75,182, rising to £138,905 Contract Type Full Time, Open Ended Closing Date Tuesday 26 May 2026 About the role The Departments of Life Sciences and Chemistry are seeking an exceptional research leader to join us as Chair in Drug Discovery, a strategic joint appointment across the two departments that will help shape the future of therapeutic innovation at Bath and play a central role in the new Centre for Drug Discovery (CDD). CDD is a major cross-faculty initiative bringing together chemists, biologists, data scientists and engineers to accelerate drug discovery through innovation in synthesis, screening, computation and translation. The Centre will focus on emerging modalities and enabling technologies from cyclic small molecules, peptides, antibodies and macrocycles, exploring new 3D chemical space to AI-guided synthesis, flow automation and direct-to-biology screening. By integrating Bath's strengths in synthetic chemistry, chemical and structural biology and advanced delivery science, the CDD will offer a distinctive environment for developing next-generation molecular tools and therapeutic leads. About you: Demonstrate inclusive leadership and a commitment to fostering a diverse research environment Have a strong track record of internationally recognised research in drug discovery Are passionate about collaboration across disciplines and sectors Can mentor and support researchers at all career stages, including Bath Prize Fellows Engage with industry and innovation networks to translate discoveries into real-world impact Can teach aspects of drug discovery in both lectures and laboratory classes and contribute to our PGT course on Drug Discovery (joint between the departments of Chemistry and Life Sciences), maintaining the University's high standards in teaching and learning, and its inclusive and supportive learning environment While we encourage applications from a range of backgrounds, we particularly welcome candidates whose research aligns with one or more of the following areas: Medicinal chemistry for emerging modalities such as peptides, molecular glues, PROTACs, ADCs or covalent inhibitors Innovative screening approaches, e.g. DNA-encoded libraries, affinity-selection mass spectrometry, chemoproteomics or AI/ML-driven virtual screening Computational drug discovery, including molecular design, macrocycle conformations, docking, or predictive models for permeability and pharmacokinetics About Drug Discovery at Bath Drug discovery at Bath is driven by close integration between the Departments of Life Sciences and Chemistry, uniting expertise in peptide design, synthetic chemistry, chemoproteomics and computational modelling. Core strengths include chemical and structural biology, pharmacology and antibiotic discovery, with projects spanning early-stage molecular design through to pre-clinical mechanism-of-action studies. Life Sciences provides cutting-edge laboratories for molecular and cellular biology, microbiology and pharmaceutical sciences, including tissue-culture suites, automated liquid handling and a zebrafish facility for in vivo pharmacology. Chemistry complements this with world-class infrastructure for automated and flow synthesis, compound characterisation (MS, NMR, DReaM Facility) and access to Bath's High-Performance Computing and AI/ML platforms for virtual screening and molecular design. Both departments have a strong track record in innovation with a number of spin-out companies. The new appointment will join a vibrant cross-faculty community engaging with industry, the regional GW4 innovation network and an opportunity to benefit from the South-West Life Science network. Together, these resources offer an exceptional environment for innovative researchers to develop and test new approaches to molecular discovery. Informal enquiries & application For informal enquiries, please contact Dr Amanda Mackenzie, Head of Life Sciences or Professor Matthew Jones, Head of Chemistry. Please ensure applications are submitted via the University's online system. Alongside the online form, upload a full CV. This is a full-time role (36.5 hours per week). Interviews for this position will take place on 22 and 23 June 2026 (a 2-day process). We are committed to providing a supportive and inclusive working environment for all staff, including mentorship and flexible working arrangements. The Departments of Life Science, Chemistry and the University currently hold Athena SWAN Silver awards, and we are working to further improve equality, diversity and inclusion for the benefit of all staff. If you would like to discuss any issues or other aspects of the working environment with a member of staff who is not involved in the recruitment process, please contact Prof Stephen Husbands, Director of Research in the Department of Life Sciences. What we can offer you: We're continually expanding our benefits package to better support you and enhance your experience with us, and the below is just an example of some of the many great benefits we offer: Free counselling services through Health Assured Cycle to work scheme Electric vehicle salary sacrifice scheme Staff discount at Team Bath gym Staff discounts on postgraduate tuition fees Staff discount on language courses Generous employer contributory pension schemes Generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work-life balance A wide range of personal and professional development opportunities, including Apprenticeships, LinkedIn Learning and more Free entry to the Holburne Museum in Bath Local discounts and more A family-friendly workplace An excellent reward package that recognises the talents of our diverse workforce Relocation allowance Visa reimbursement and Interest-Free Loan to help with the cost of some immigration expenses Find out more about our benefits on our website and watch the video to hear from our staff about what makes the University of Bath a great place to work, as well as following us on X and LinkedIn. Right to Work in the UK: We do not assess immigration or right to work status until offer stage. Being invited to interview does not guarantee you are eligible for visa sponsorship, and all offers are conditional on meeting right to work requirements. Further information is available on our application support webpage. Anonymous shortlisting: We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name may be removed from application forms at the initial shortlisting stage.
Market Access Medical Writer (Consultant) Location - London or Winchester with hybrid working as per departmental requirements (currently a MINIMUM of 40% (2 days per week) with Tuesday as the team day. In 2020 LCP launched our Heath Analytics practice, providing analytical and research services for organisations across the life sciences and healthcare industries. Our team brings together health economists, statisticians, market access specialists, epidemiologists, clinicians, and health data scientists alongside our established actuarial, analytics and technology teams to deliver new solutions for the fundamental challenges in health. Our team's mission is to help move health systems from importers of illness to exporters of health and to support our clients to deliver value to patients. This is underpinned by our approach to support clients to improve the population's health and reduce inequalities. What's the role? LCP's Health Analytics team works across the healthcare and life sciences markets, combining health expertise with innovative approaches from our work in other sectors to tackle leading health issues. Examples of the types of projects that this role would cover, include, but are not limited to: Development of GVDs and other similar documents i.e. early value dossiers, AMCP and other formulary access tools (including payer value decks, US Pre-approval information exchange materials, and HEOR/ access toolkits), payer value propositions/ messages and objection handlers Supporting HTA dossier development JCA submission dossier development Literature review and statistical analysis reports Publications including posters, abstracts and manuscripts Development of data visualisation/ infographic type deliverables Conference, advisory board and other similar reports Providing strategic recommendations on global clinical trial design to enable HTA and reimbursement success Identifying optimal routes for access in different markets Landscape assessment, including but not limited to, competitor, pricing and reimbursement and HTA Patient journey mapping Secondary and primary research to validate market access strategies Payer evidence needs and gap analysis To support our continued growth, we are looking for an experienced Consultant with a proven track record in medical writing, particularly as applied to market access deliverables, to join our team and play a key role in growing our market access and value communication offerings. You'll have experience in writing and managing the development of a wide variety of market access/ value communication deliverables, including but not limited to, Global Value Dossiers (GVDs), American Managed Care Pharmacy (AMCP) dossiers, other payer formulary packs, payer value decks, HTA submissions, value driver identification and value story development, objection handlers, white papers, data visualisation tools, medical education, real world study reports, SLR reports, training materials, and market access/ HEOR/ RWE focused manuscripts. If you are looking to make a tangible impact, help develop a sub-service with an established service area (including team training and development of processes and editorial standards), take on leadership opportunities, and grow your expertise in a supportive and dynamic environment, then this is the role for you! Your key responsibilities will be to: Act as lead writer in the delivery of high-quality content which is fully referenced and reflective of the evidence base, and which is tailored to the target audience in terms of its content and style Lead market access focused projects including those that have a significant medical writing component. This will include coordination and project management of internal delivery teams alongside client-facing coordination of projects Develop Health Analytics team "house style" and similar editorial standards, processes and templates, while also being responsible for reviewing the work of other members of the team and contributing to team training and development of internal resources tools and processes People responsibilities including the line management and development of junior members of the team, depending on candidate's experience and interests Conduct targeted secondary research utilising a wide variety of sources to address specific research questions i.e., understand disease and competitor landscape, current treatment pathways, pricing and reimbursement processes, payer value drivers etc. Support the conduct of qualitative and quantitative payer research and analysis to identify opportunities and challenges for client products in various healthcare markets. This may include leading on the design of surveys, conducting 1:1 in-depth interviews, advisory boards, roundtable and other primary research methodologies Develop value messages, dossiers, and other related payer value communication materials e.g. payer value decks, toolkits, objection handlers and internal training materials Support the preparation of client-facing presentations and reports, effectively communicating complex concepts to diverse audiences. Manage projects (administrative and financial) including acting as the day-to-day client contact on projects, while also tracking and closely managing project budgets to ensure profitable and timely delivery Contribute to thought leadership, business development and marketing activities What skills, qualities and experience are we looking for? Essential Demonstrable experience as a market access medical writer in a consultancy environment, to include preparing market access and HEOR focused medical writing projects (including but not limited to; GVDs, HTA dossiers, early value dossiers, AMCP and other formulary access tools, manuscripts, conference presentations, payer value propositions/ messages and objection handlers)A 2:1 degree or better plus a science/ health-related postgraduate qualification (Masters or PhD) in a life-science focused subject or in an English language focused subject, with proven experience of application in the healthcare market access arenaDemonstrable experience of working in MS PowerPoint and prose-based, MS Word and similar formats is required.Confidence in leading the preparation of client-facing presentations and reports, effectively communicating complex concepts to diverse audiencesAbility to conduct and guide others in targeted secondary research utilising a wide variety of sources to address specific research questions. In addition, you should have a s
May 03, 2026
Full time
Market Access Medical Writer (Consultant) Location - London or Winchester with hybrid working as per departmental requirements (currently a MINIMUM of 40% (2 days per week) with Tuesday as the team day. In 2020 LCP launched our Heath Analytics practice, providing analytical and research services for organisations across the life sciences and healthcare industries. Our team brings together health economists, statisticians, market access specialists, epidemiologists, clinicians, and health data scientists alongside our established actuarial, analytics and technology teams to deliver new solutions for the fundamental challenges in health. Our team's mission is to help move health systems from importers of illness to exporters of health and to support our clients to deliver value to patients. This is underpinned by our approach to support clients to improve the population's health and reduce inequalities. What's the role? LCP's Health Analytics team works across the healthcare and life sciences markets, combining health expertise with innovative approaches from our work in other sectors to tackle leading health issues. Examples of the types of projects that this role would cover, include, but are not limited to: Development of GVDs and other similar documents i.e. early value dossiers, AMCP and other formulary access tools (including payer value decks, US Pre-approval information exchange materials, and HEOR/ access toolkits), payer value propositions/ messages and objection handlers Supporting HTA dossier development JCA submission dossier development Literature review and statistical analysis reports Publications including posters, abstracts and manuscripts Development of data visualisation/ infographic type deliverables Conference, advisory board and other similar reports Providing strategic recommendations on global clinical trial design to enable HTA and reimbursement success Identifying optimal routes for access in different markets Landscape assessment, including but not limited to, competitor, pricing and reimbursement and HTA Patient journey mapping Secondary and primary research to validate market access strategies Payer evidence needs and gap analysis To support our continued growth, we are looking for an experienced Consultant with a proven track record in medical writing, particularly as applied to market access deliverables, to join our team and play a key role in growing our market access and value communication offerings. You'll have experience in writing and managing the development of a wide variety of market access/ value communication deliverables, including but not limited to, Global Value Dossiers (GVDs), American Managed Care Pharmacy (AMCP) dossiers, other payer formulary packs, payer value decks, HTA submissions, value driver identification and value story development, objection handlers, white papers, data visualisation tools, medical education, real world study reports, SLR reports, training materials, and market access/ HEOR/ RWE focused manuscripts. If you are looking to make a tangible impact, help develop a sub-service with an established service area (including team training and development of processes and editorial standards), take on leadership opportunities, and grow your expertise in a supportive and dynamic environment, then this is the role for you! Your key responsibilities will be to: Act as lead writer in the delivery of high-quality content which is fully referenced and reflective of the evidence base, and which is tailored to the target audience in terms of its content and style Lead market access focused projects including those that have a significant medical writing component. This will include coordination and project management of internal delivery teams alongside client-facing coordination of projects Develop Health Analytics team "house style" and similar editorial standards, processes and templates, while also being responsible for reviewing the work of other members of the team and contributing to team training and development of internal resources tools and processes People responsibilities including the line management and development of junior members of the team, depending on candidate's experience and interests Conduct targeted secondary research utilising a wide variety of sources to address specific research questions i.e., understand disease and competitor landscape, current treatment pathways, pricing and reimbursement processes, payer value drivers etc. Support the conduct of qualitative and quantitative payer research and analysis to identify opportunities and challenges for client products in various healthcare markets. This may include leading on the design of surveys, conducting 1:1 in-depth interviews, advisory boards, roundtable and other primary research methodologies Develop value messages, dossiers, and other related payer value communication materials e.g. payer value decks, toolkits, objection handlers and internal training materials Support the preparation of client-facing presentations and reports, effectively communicating complex concepts to diverse audiences. Manage projects (administrative and financial) including acting as the day-to-day client contact on projects, while also tracking and closely managing project budgets to ensure profitable and timely delivery Contribute to thought leadership, business development and marketing activities What skills, qualities and experience are we looking for? Essential Demonstrable experience as a market access medical writer in a consultancy environment, to include preparing market access and HEOR focused medical writing projects (including but not limited to; GVDs, HTA dossiers, early value dossiers, AMCP and other formulary access tools, manuscripts, conference presentations, payer value propositions/ messages and objection handlers)A 2:1 degree or better plus a science/ health-related postgraduate qualification (Masters or PhD) in a life-science focused subject or in an English language focused subject, with proven experience of application in the healthcare market access arenaDemonstrable experience of working in MS PowerPoint and prose-based, MS Word and similar formats is required.Confidence in leading the preparation of client-facing presentations and reports, effectively communicating complex concepts to diverse audiencesAbility to conduct and guide others in targeted secondary research utilising a wide variety of sources to address specific research questions. In addition, you should have a s
Prize Fellow in Drug Discovery Department Life Sciences Salary Starting from £47,389, rising to £56,535 Contract Type Full Time, Fixed Term Closing Date Tuesday 26 May 2026 Prize Fellowship in Drug Discovery The Departments of Life Sciences and Chemistry invite applications for a Prize Fellowship in Drug Discovery, an exceptional opportunity for an emerging research leader to develop an independent, internationally recognised programme at the interface of chemistry and biology. The position will be run as a joint appointment across the two departments. This prestigious Fellowship is aligned with the new Centre for Drug Discovery (CDD), a cross-faculty initiative bringing together chemists, biologists, data scientists and engineers to accelerate drug discovery through innovation in synthesis, screening, computation and translation. CDD will focus on emerging modalities and enabling technologies from cyclic small molecules, peptides, antibodies and macrocycles that explore new 3D chemical space, to AI-guided synthesis, flow automation and direct-to-biology screening. By coupling Bath's strengths in synthetic chemistry, chemical and structural biology, and advanced delivery science, the Centre will provide a distinctive environment for developing next-generation molecular tools and therapeutic leads. We seek a creative and collaborative scientist tackling fundamental challenges in contemporary drug discovery, ideally with a strong grounding in chemistry and an interest in applying molecular or computational technologies to biological problems. While we encourage applications from a range of backgrounds, we particularly welcome candidates whose research aligns with one or more of the following areas: Medicinal chemistry for emerging modalities such as peptides, molecular glues, PROTACs, ADCs or covalent inhibitors Innovative screening approaches, e.g. DNA-encoded libraries, affinity-selection mass spectrometry, chemoproteomics or AI/ML-driven virtual screening Computational drug discovery, including molecular design, macrocycle conformations, docking, or predictive models for permeability and pharmacokinetics About the Prize Fellowship The Bath Prize Fellowship offers three years of protected research time and the opportunity for a permanent academic appointment, subject to performance. Fellows will have access to state-of-the-art laboratories for automation, high-throughput synthesis, compound screening and advanced computation, and will join a vibrant cross-faculty community engaging with industry, the regional GW4 innovation network and an opportunity to benefit from the South-West Life Science network. About Drug Discovery at Bath Drug discovery at Bath is driven by close integration between the Departments of Life Sciences and Chemistry, uniting expertise in peptide design, synthetic chemistry, chemoproteomics and computational modelling. Core strengths include chemical and structural biology, pharmacology and antibiotic discovery, with projects spanning early-stage molecular design through to pre-clinical mechanism-of-action studies. Life Sciences provides cutting-edge laboratories for molecular and cellular biology, microbiology and pharmaceutical sciences, including tissue-culture suites, automated liquid handling and a zebrafish facility for in vivo pharmacology. Chemistry complements this with world-class infrastructure for automated and flow synthesis, compound characterisation (MS, NMR, DReaM Facility) and access to Bath's High-Performance Computing and AI/ML platforms for virtual screening and molecular design. Both departments have a strong track record in innovation with a number of spin-out companies. Together, these resources offer an exceptional environment for innovative researchers to develop and test new approaches to molecular discovery. Informal enquiries & application For informal enquiries, please contact Dr Scott Lovell, Life Sciences or Dr Alex Cresswell, Chemistry, co-leads of the Bath Centre for Drug Discovery. Please ensure applications are submitted via the University's online system. Alongside the online form, please upload a full CV. We are committed to providing a supportive and inclusive working environment for all staff, including mentorship and flexible working arrangements. The Departments of Life Science, Chemistry and the University currently hold Athena SWAN Silver awards, and we are working to further improve equality, diversity and inclusion for the benefit of all staff. If you would like to discuss any issues or other aspects of the working environment with a member of staff who is not involved in the recruitment process, please contact Prof Stephen Husbands, Director of Research in the Department of Life Sciences. What we can offer you: We're continually expanding our benefits package to better support you and enhance your experience with us, and the below is just an example of some of the many great benefits we offer: Free counselling services through Health Assured Cycle to work scheme Electric vehicle salary sacrifice scheme Staff discount at Team Bath gym Staff discounts on postgraduate tuition fees Staff discount on language courses Generous employer contributory pension schemes Generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work-life balance A wide range of personal and professional development opportunities, including Apprenticeships, LinkedIn Learning and more Free entry to the Holburne Museum in Bath Local discounts and more A family-friendly workplace An excellent reward package that recognises the talents of our diverse workforce Relocation allowance Visa reimbursement and Interest-Free Loan to help with the cost of some immigration expenses Find out more about our benefits on our website and watch the video to hear from our staff about what makes the University of Bath a great place to work, as well as following us on X and LinkedIn. Right to Work in the UK: We do not assess immigration or right to work status until offer stage. Being invited to interview does not guarantee you are eligible for visa sponsorship, and all offers are conditional on meeting right to work requirements. Further information is available on our application support webpage. Anonymous shortlisting: We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name may be removed from application forms at the initial shortlisting stage.
May 02, 2026
Full time
Prize Fellow in Drug Discovery Department Life Sciences Salary Starting from £47,389, rising to £56,535 Contract Type Full Time, Fixed Term Closing Date Tuesday 26 May 2026 Prize Fellowship in Drug Discovery The Departments of Life Sciences and Chemistry invite applications for a Prize Fellowship in Drug Discovery, an exceptional opportunity for an emerging research leader to develop an independent, internationally recognised programme at the interface of chemistry and biology. The position will be run as a joint appointment across the two departments. This prestigious Fellowship is aligned with the new Centre for Drug Discovery (CDD), a cross-faculty initiative bringing together chemists, biologists, data scientists and engineers to accelerate drug discovery through innovation in synthesis, screening, computation and translation. CDD will focus on emerging modalities and enabling technologies from cyclic small molecules, peptides, antibodies and macrocycles that explore new 3D chemical space, to AI-guided synthesis, flow automation and direct-to-biology screening. By coupling Bath's strengths in synthetic chemistry, chemical and structural biology, and advanced delivery science, the Centre will provide a distinctive environment for developing next-generation molecular tools and therapeutic leads. We seek a creative and collaborative scientist tackling fundamental challenges in contemporary drug discovery, ideally with a strong grounding in chemistry and an interest in applying molecular or computational technologies to biological problems. While we encourage applications from a range of backgrounds, we particularly welcome candidates whose research aligns with one or more of the following areas: Medicinal chemistry for emerging modalities such as peptides, molecular glues, PROTACs, ADCs or covalent inhibitors Innovative screening approaches, e.g. DNA-encoded libraries, affinity-selection mass spectrometry, chemoproteomics or AI/ML-driven virtual screening Computational drug discovery, including molecular design, macrocycle conformations, docking, or predictive models for permeability and pharmacokinetics About the Prize Fellowship The Bath Prize Fellowship offers three years of protected research time and the opportunity for a permanent academic appointment, subject to performance. Fellows will have access to state-of-the-art laboratories for automation, high-throughput synthesis, compound screening and advanced computation, and will join a vibrant cross-faculty community engaging with industry, the regional GW4 innovation network and an opportunity to benefit from the South-West Life Science network. About Drug Discovery at Bath Drug discovery at Bath is driven by close integration between the Departments of Life Sciences and Chemistry, uniting expertise in peptide design, synthetic chemistry, chemoproteomics and computational modelling. Core strengths include chemical and structural biology, pharmacology and antibiotic discovery, with projects spanning early-stage molecular design through to pre-clinical mechanism-of-action studies. Life Sciences provides cutting-edge laboratories for molecular and cellular biology, microbiology and pharmaceutical sciences, including tissue-culture suites, automated liquid handling and a zebrafish facility for in vivo pharmacology. Chemistry complements this with world-class infrastructure for automated and flow synthesis, compound characterisation (MS, NMR, DReaM Facility) and access to Bath's High-Performance Computing and AI/ML platforms for virtual screening and molecular design. Both departments have a strong track record in innovation with a number of spin-out companies. Together, these resources offer an exceptional environment for innovative researchers to develop and test new approaches to molecular discovery. Informal enquiries & application For informal enquiries, please contact Dr Scott Lovell, Life Sciences or Dr Alex Cresswell, Chemistry, co-leads of the Bath Centre for Drug Discovery. Please ensure applications are submitted via the University's online system. Alongside the online form, please upload a full CV. We are committed to providing a supportive and inclusive working environment for all staff, including mentorship and flexible working arrangements. The Departments of Life Science, Chemistry and the University currently hold Athena SWAN Silver awards, and we are working to further improve equality, diversity and inclusion for the benefit of all staff. If you would like to discuss any issues or other aspects of the working environment with a member of staff who is not involved in the recruitment process, please contact Prof Stephen Husbands, Director of Research in the Department of Life Sciences. What we can offer you: We're continually expanding our benefits package to better support you and enhance your experience with us, and the below is just an example of some of the many great benefits we offer: Free counselling services through Health Assured Cycle to work scheme Electric vehicle salary sacrifice scheme Staff discount at Team Bath gym Staff discounts on postgraduate tuition fees Staff discount on language courses Generous employer contributory pension schemes Generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work-life balance A wide range of personal and professional development opportunities, including Apprenticeships, LinkedIn Learning and more Free entry to the Holburne Museum in Bath Local discounts and more A family-friendly workplace An excellent reward package that recognises the talents of our diverse workforce Relocation allowance Visa reimbursement and Interest-Free Loan to help with the cost of some immigration expenses Find out more about our benefits on our website and watch the video to hear from our staff about what makes the University of Bath a great place to work, as well as following us on X and LinkedIn. Right to Work in the UK: We do not assess immigration or right to work status until offer stage. Being invited to interview does not guarantee you are eligible for visa sponsorship, and all offers are conditional on meeting right to work requirements. Further information is available on our application support webpage. Anonymous shortlisting: We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name may be removed from application forms at the initial shortlisting stage.
Senior Consultant - Health Economist/Statistician Location - London or Winchester with hybrid working as per departmental requirements (currently a MINIMUM of 40% (2 days per week) with Tuesday as the team day. In 2020 LCP launched our Heath Analytics practice, providing analytical and research services for organisations across the life sciences and healthcare industries. Our team brings together health economists, statisticians, market access specialists, epidemiologists, clinicians, and health data scientists alongside our established actuarial, analytics and technology teams to deliver new solutions for the fundamental challenges in health. Our team's mission is to help move health systems from importers of illness to exporters of health and to support our clients to deliver value to patients. This is underpinned by our approach to support clients to improve the population's health and reduce inequalities. What's the role and who are the team? LCP's Health Analytics team works across the healthcare and life sciences markets, combining health expertise with innovative approaches from our work in other sectors to tackle leading health issues. Joining our Health Analytics team will provide you with opportunities to work on a range of projects based on your interests and skillset. Examples of the types of projects that we undertake for our clients include: Estimating the cost effectiveness or budget impact of interventions using traditional HTA methods but also more holistically from both patients and health systems perspectives. Associated activities include: Model conceptualisation and input into evidence generation strategies Model programming including supporting input sourcing and statistical analysis Model validation and expert elicitation Reporting/publications Risk prediction and modelling Forecasting disease burden, healthcare demand (e.g., analysis of waiting list data) and cost Analysis of clinical trial data for use in health economic modelling Evidence synthesis projects including indirect treatment comparisons Advanced study designs including external comparator arms and quantitative bias analysis Innovative approaches to identifying and quantifying unmet need and inequalities Market access landscape and strategy Data landscaping and evidence generation strategy Real world evidence studies using electronic healthcare records, registries, biobanks and databases Design and simulation of reimbursement models including outcome-based agreements We are currently looking for a Senior Consultant Health Economist with a track record in leading and delivering client-facing projects to join the team. This is an opportunity for you to lead projects that use cutting edge health data science, statistics, and health economic methods to solve some of the most challenging issues in healthcare. As an experienced hire this is also an opportunity to help shape the growth and development at an exciting stage in the team's growth. Your responsibilities As Senior Consultant in LCP's Health Analytics team you will be involved in a diverse range of projects, covering both client and non-client work. Your key responsibilities will be to: Lead projects day-to-day including coordination and project management of internal delivery teams alongside client-facing coordination of projects Design solutions to the complex problems our clients in the healthcare and life sciences industry face and present these solutions in an accessible manner Demonstrate a high level of expertise in health economic approaches and methods Embrace people responsibilities including the line management and development of less experienced team members, depending on candidate's experience and interests At LCP we offer many opportunities to progress quickly and reward our staff for ability, commitment and performance. What skills, experience and qualities are we looking for? Considerable, demonstrable, relevant experience in a Health Economics or Statistics role within a consultancy environment is essential A 2:1 degree or better in a numerate or science subject, and a health-related Masters degree or PhD (Health Economics, Statistics, Public Health, Epidemiology, Data Science) Excellent grounding in Health Economics and/or Statistics with demonstrated experience in conceptualising and delivering a range of health economic or statistical analyses Experience working on HTA submissions is desirable, as is experience undertaking statistical analyses (e.g., survival analysis, utility analysis) to support economic evaluation Experience in methods for external comparator arms (e.g. MAIC and similar methods) is desirable Comfortable working as part of a growing, dynamic team, leading on day-to-day project activities and managing the workload of less experienced colleagues Comfortable engaging in a variety of project types, including across market access and evidence generation Experience in business development activities, including proposal writing and pitch presentations, is desirable Thrive in a team seeking to advance methods and leverage evolving technology, e.g., AI Excellent communication skills, both oral and written, with the ability to explain complex issues to a wide ranging audience Excellent Microsoft Office skills, highly competent in the use of Outlook, Excel, Word, and PowerPoint Programming experience in R or Python is desirable What's in it for you? Take a look at our Glassdoor and Career stories pages to see why our people love being here! As well as joining a certified B-Corp, multi-award winning, fun, collaborative, people first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. Currently our core benefits package includes: For you: Hybrid working (see top of the advert for details) Professional study support (where applicable) Access to our internal Wellbeing, LGBTQ+, Multicultural and Women's networks For your family: Life assurance Income protection Enhanced maternity/paternity/adoption and shared parental leave For your health: 26 days annual leave (pro-rata for part-time working) plus bank holidays (most of which can be
May 02, 2026
Full time
Senior Consultant - Health Economist/Statistician Location - London or Winchester with hybrid working as per departmental requirements (currently a MINIMUM of 40% (2 days per week) with Tuesday as the team day. In 2020 LCP launched our Heath Analytics practice, providing analytical and research services for organisations across the life sciences and healthcare industries. Our team brings together health economists, statisticians, market access specialists, epidemiologists, clinicians, and health data scientists alongside our established actuarial, analytics and technology teams to deliver new solutions for the fundamental challenges in health. Our team's mission is to help move health systems from importers of illness to exporters of health and to support our clients to deliver value to patients. This is underpinned by our approach to support clients to improve the population's health and reduce inequalities. What's the role and who are the team? LCP's Health Analytics team works across the healthcare and life sciences markets, combining health expertise with innovative approaches from our work in other sectors to tackle leading health issues. Joining our Health Analytics team will provide you with opportunities to work on a range of projects based on your interests and skillset. Examples of the types of projects that we undertake for our clients include: Estimating the cost effectiveness or budget impact of interventions using traditional HTA methods but also more holistically from both patients and health systems perspectives. Associated activities include: Model conceptualisation and input into evidence generation strategies Model programming including supporting input sourcing and statistical analysis Model validation and expert elicitation Reporting/publications Risk prediction and modelling Forecasting disease burden, healthcare demand (e.g., analysis of waiting list data) and cost Analysis of clinical trial data for use in health economic modelling Evidence synthesis projects including indirect treatment comparisons Advanced study designs including external comparator arms and quantitative bias analysis Innovative approaches to identifying and quantifying unmet need and inequalities Market access landscape and strategy Data landscaping and evidence generation strategy Real world evidence studies using electronic healthcare records, registries, biobanks and databases Design and simulation of reimbursement models including outcome-based agreements We are currently looking for a Senior Consultant Health Economist with a track record in leading and delivering client-facing projects to join the team. This is an opportunity for you to lead projects that use cutting edge health data science, statistics, and health economic methods to solve some of the most challenging issues in healthcare. As an experienced hire this is also an opportunity to help shape the growth and development at an exciting stage in the team's growth. Your responsibilities As Senior Consultant in LCP's Health Analytics team you will be involved in a diverse range of projects, covering both client and non-client work. Your key responsibilities will be to: Lead projects day-to-day including coordination and project management of internal delivery teams alongside client-facing coordination of projects Design solutions to the complex problems our clients in the healthcare and life sciences industry face and present these solutions in an accessible manner Demonstrate a high level of expertise in health economic approaches and methods Embrace people responsibilities including the line management and development of less experienced team members, depending on candidate's experience and interests At LCP we offer many opportunities to progress quickly and reward our staff for ability, commitment and performance. What skills, experience and qualities are we looking for? Considerable, demonstrable, relevant experience in a Health Economics or Statistics role within a consultancy environment is essential A 2:1 degree or better in a numerate or science subject, and a health-related Masters degree or PhD (Health Economics, Statistics, Public Health, Epidemiology, Data Science) Excellent grounding in Health Economics and/or Statistics with demonstrated experience in conceptualising and delivering a range of health economic or statistical analyses Experience working on HTA submissions is desirable, as is experience undertaking statistical analyses (e.g., survival analysis, utility analysis) to support economic evaluation Experience in methods for external comparator arms (e.g. MAIC and similar methods) is desirable Comfortable working as part of a growing, dynamic team, leading on day-to-day project activities and managing the workload of less experienced colleagues Comfortable engaging in a variety of project types, including across market access and evidence generation Experience in business development activities, including proposal writing and pitch presentations, is desirable Thrive in a team seeking to advance methods and leverage evolving technology, e.g., AI Excellent communication skills, both oral and written, with the ability to explain complex issues to a wide ranging audience Excellent Microsoft Office skills, highly competent in the use of Outlook, Excel, Word, and PowerPoint Programming experience in R or Python is desirable What's in it for you? Take a look at our Glassdoor and Career stories pages to see why our people love being here! As well as joining a certified B-Corp, multi-award winning, fun, collaborative, people first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. Currently our core benefits package includes: For you: Hybrid working (see top of the advert for details) Professional study support (where applicable) Access to our internal Wellbeing, LGBTQ+, Multicultural and Women's networks For your family: Life assurance Income protection Enhanced maternity/paternity/adoption and shared parental leave For your health: 26 days annual leave (pro-rata for part-time working) plus bank holidays (most of which can be
White Collar Factory (95009), United Kingdom, London, London Engineering Manager - Software & ML About this role We are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments . You'll lead and grow a team that builds the core software powering our data-driven financial products, ensuring our models are integrated into seamless, consumer-facing experiences. What you'll do Lead & Scale: Support a cross-functional group of engineers to design, develop, and integrate software features that are vital to the lives of credit card consumers. Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals. Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively integrated into our production software. Build Robust Systems: Oversee the development of platforms that are performant, secure, and capable of handling the unique deployment needs of AI-powered features. Optimize Delivery: Enhance engineering and agile processes, ensuring that model updates and software releases move in sync. What we're looking for Leadership Excellence: Proven experience leading and supporting software engineering teams to achieve business goals. Technical Breadth: Excellent knowledge of RESTful API development in modern languages (Java, Python, or .Net) and experience with Cloud environments (AWS or Azure). AI Awareness: You aren't necessarily a researcher, but you have expectations of how AI fits into the stack . You understand the basics of model inference, data requirements, and how to manage the non-deterministic nature of AI. Strategic Thinking: Comfortable making technical trade-offs between the need for rapid experimentation and long-term architectural stability. Collaborative Mindset: Ability to communicate effectively across engineering teams to maximize inner-sourcing and reduce technical debt. What you'll get to learn ML Integration at Scale: How to take machine learning models out of the lab and into a high-concurrency production environment. Regulated AI: Navigating the complexities of fairness and transparency in a regulated financial landscape. Cloud Evolution: Deepening your expertise in AWS/Cloud native tools that support modern intelligent applications. Where and how you'll work This is a permanent position based in either our London or Nottingham offices. We have a hybrid working model. You'll be based in the office 3 days a week (Tuesdays, Wednesdays, and Thursdays) to foster team connection and collaboration. What's in it for you Innovation Time: We give you 10% of your time to work on cutting-edge projects-whether that's exploring new AI frameworks or building internal tools. Growth: Access to Capital One University and external training to help you grow as both a leader and a technical strategist. Total Reward: Competitive salary, performance bonus, and immediate access to core benefits (pension, private medical, and generous holiday). World-Class Facilities: From our Nottingham gym and music rooms to our London rooftop running track and premium coffee bars. Our Commitment to Diversity We pride ourselves on hiring the best people, not the same people. We partner with organisations like Women in Tech and Stonewall to ensure we build teams that reflect the customers we serve. We offer a host of internal networks including REACH (Race Equality and Culture Heritage), OutFront (LGBTQ+ support), and Mind Your Mind . Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Apr 30, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Engineering Manager - Software & ML About this role We are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments . You'll lead and grow a team that builds the core software powering our data-driven financial products, ensuring our models are integrated into seamless, consumer-facing experiences. What you'll do Lead & Scale: Support a cross-functional group of engineers to design, develop, and integrate software features that are vital to the lives of credit card consumers. Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals. Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively integrated into our production software. Build Robust Systems: Oversee the development of platforms that are performant, secure, and capable of handling the unique deployment needs of AI-powered features. Optimize Delivery: Enhance engineering and agile processes, ensuring that model updates and software releases move in sync. What we're looking for Leadership Excellence: Proven experience leading and supporting software engineering teams to achieve business goals. Technical Breadth: Excellent knowledge of RESTful API development in modern languages (Java, Python, or .Net) and experience with Cloud environments (AWS or Azure). AI Awareness: You aren't necessarily a researcher, but you have expectations of how AI fits into the stack . You understand the basics of model inference, data requirements, and how to manage the non-deterministic nature of AI. Strategic Thinking: Comfortable making technical trade-offs between the need for rapid experimentation and long-term architectural stability. Collaborative Mindset: Ability to communicate effectively across engineering teams to maximize inner-sourcing and reduce technical debt. What you'll get to learn ML Integration at Scale: How to take machine learning models out of the lab and into a high-concurrency production environment. Regulated AI: Navigating the complexities of fairness and transparency in a regulated financial landscape. Cloud Evolution: Deepening your expertise in AWS/Cloud native tools that support modern intelligent applications. Where and how you'll work This is a permanent position based in either our London or Nottingham offices. We have a hybrid working model. You'll be based in the office 3 days a week (Tuesdays, Wednesdays, and Thursdays) to foster team connection and collaboration. What's in it for you Innovation Time: We give you 10% of your time to work on cutting-edge projects-whether that's exploring new AI frameworks or building internal tools. Growth: Access to Capital One University and external training to help you grow as both a leader and a technical strategist. Total Reward: Competitive salary, performance bonus, and immediate access to core benefits (pension, private medical, and generous holiday). World-Class Facilities: From our Nottingham gym and music rooms to our London rooftop running track and premium coffee bars. Our Commitment to Diversity We pride ourselves on hiring the best people, not the same people. We partner with organisations like Women in Tech and Stonewall to ensure we build teams that reflect the customers we serve. We offer a host of internal networks including REACH (Race Equality and Culture Heritage), OutFront (LGBTQ+ support), and Mind Your Mind . Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
The essentials Permanent, full-time (Monday to Friday, 9am to 5pm). £27,000 per year. Hybrid working with 2 days a week in our Bath office. The Geological Society Publishing House has an exciting opportunity within our publishing team to provide wide-ranging administrative support for editorial development team activities and project work. Utilise Editorial Manager and online content platform systems to support provision of guidelines for contributors and setting up of new titles and collections. Who are we? Founded in 1807, we are the oldest geological society in the world. Today, we are a world-leading communicator of Earth science - through publishing, library and information services, cutting-edge scientific conferences, education activities and outreach to the general public. We also provide impartial scientific information and evidence to support policy-making and public debate about the challenges facing humanity. We have a membership (Fellowship) of c. 12,000, more than 2,000 of whom are based outside the UK. Approximately 3,000 are Chartered Geologists or Chartered Scientists - professionals who have demonstrated a high level of technical competence in their field and a commitment to professional ethics. We have been a major publisher within the community since 1811. An independent and international publisher, we are dedicated to providing a high-quality service to geoscientists globally and any surplus is invested to support our discipline. We publish a diverse range of books and journals on the Lyell Collection, with over 10,000 pages of new peer-reviewed geoscience literature being made available every year. Overall responsibilities / requirements Editorial development: Wide-ranging support for staff and activities, to include: Support for commissioning processes, to include: Research and data collection Profiling online sources such as conference schedules, departmental websites Identifying and collecting contact details for potential leads Use of bibliographic databases such as Dimensions (for data collection) Reporting (data collection and compilation): annual reports, reports for partners, read and publish usage, Top Reviewers, and others Support for meetings of Editorial Boards and Publication and Information Committee: coordinating meeting dates, compiling meeting papers and resources, recording meeting minutes Gathering feedback from external collaborators, including administration of editor surveys Proposal review process for new books and thematic collections: researching and inviting reviewers and collating comments from reviewers and editors Editorial projects and resources: Coordinating the process for contracting new book volumes, in collaboration with Books Commissioning Editor Setting up new book volumes and journal thematic collections via Editorial Manager system and Lyell Collection online platform Support the provision of editor training on use of EM, in collaboration with Publishing Coordinators and Journal Development Editor / Commissioning Editor Support maintenance of online guidelines for editorial contributors via Publishing Support Hub, in collaboration with Pub Hub Advisory Group Ad hoc support for copyright permissions process, including liaising with authors towards clearing figure and personal communications, as required Market research and data collection for editorial projects. Examples may include AI for publishing, research integrity, tenders and proposals, new partnerships (books) General: Support for Editor and Authors newsletters - coordinating schedule and content, liaising with editorial and marketing colleagues Any other tasks that can be reasonably requested. What we're looking for Educated to A-level or degree level Good IT proficiency (particularly spreadsheets) and full familiarity with the normal range of office software Excellent interpersonal and communication skills Excellent administrative, organisational and time management skills Some general knowledge of, and interest in, the publishing process would be helpful The duties and responsibilities highlighted in this Job Description are indicative and may vary over time. As required, post holders are expected to undertake other duties and responsibilities relevant to the nature, level and scope of the post. A bit about us The Geological Society is a registered charity and employs just under 60 staff at its offices in London and Bath. The Society Publishing House is based in Bath, from where we provide a full publishing service to an international geoscience community across a portfolio of books, journals, and associated products. As an employee conscious company, we invest in our staff by emphasising training, growth and progression in every role. We firmly believe in creating a positive workplace wellbeing culture and offer a range of benefits to our staff including: 25 days basic holiday entitlement, increasing up to 30 days with continued service (pro-rated for part-time staff) Option to purchase up to 2 days extra holiday days per year Contributary pension scheme with 10% employer contribution Access to 24/7 online GP with mental health & wellbeing counselling Free premium Headspace account for you and 2 members of friends/family Discounts and recognitions scheme Cycle to Work scheme Season Ticket Loan scheme Life Assurance and Income Protection schemes Free access to Royal Academy exhibitions Free Geological Society Fellow membership for qualified staff The Society is committed to fostering an inclusive culture that promotes equality, values diversity and maintains a harmonious inclusive environment in which the rights and dignity of all its members visitors and staff are respected. We are an equal opportunities employer and the post-holder will be expected to adhere to and support the Society's commitment to diversity, equality and inclusion. How to apply To apply for this position, please forward a copy of your CV together with a cover letter by an email via the button below. Please ensure that your cover letter highlights your experience in no more than 500 words. As part of our inclusive recruitment initiative, we have introduced the concept of anonymous recruiting in order to evaluate applicants solely on their skills and experience. With this in mind, we encourage you to: Anonymise your application by stating only your initials in your CV (including your file name) and cover letter State your initials only and job title you are applying for in the subject line when sending your application Ensure that you have included your contact email and number, as well as dates when you will not be available or might have difficulty with the indicative timetable Please let us know if you will require any special provisions to be made should you be called for an interview. We regret that unsuccessful candidates will not be contacted. All applicants must have the right to work in the UK.
Apr 30, 2026
Full time
The essentials Permanent, full-time (Monday to Friday, 9am to 5pm). £27,000 per year. Hybrid working with 2 days a week in our Bath office. The Geological Society Publishing House has an exciting opportunity within our publishing team to provide wide-ranging administrative support for editorial development team activities and project work. Utilise Editorial Manager and online content platform systems to support provision of guidelines for contributors and setting up of new titles and collections. Who are we? Founded in 1807, we are the oldest geological society in the world. Today, we are a world-leading communicator of Earth science - through publishing, library and information services, cutting-edge scientific conferences, education activities and outreach to the general public. We also provide impartial scientific information and evidence to support policy-making and public debate about the challenges facing humanity. We have a membership (Fellowship) of c. 12,000, more than 2,000 of whom are based outside the UK. Approximately 3,000 are Chartered Geologists or Chartered Scientists - professionals who have demonstrated a high level of technical competence in their field and a commitment to professional ethics. We have been a major publisher within the community since 1811. An independent and international publisher, we are dedicated to providing a high-quality service to geoscientists globally and any surplus is invested to support our discipline. We publish a diverse range of books and journals on the Lyell Collection, with over 10,000 pages of new peer-reviewed geoscience literature being made available every year. Overall responsibilities / requirements Editorial development: Wide-ranging support for staff and activities, to include: Support for commissioning processes, to include: Research and data collection Profiling online sources such as conference schedules, departmental websites Identifying and collecting contact details for potential leads Use of bibliographic databases such as Dimensions (for data collection) Reporting (data collection and compilation): annual reports, reports for partners, read and publish usage, Top Reviewers, and others Support for meetings of Editorial Boards and Publication and Information Committee: coordinating meeting dates, compiling meeting papers and resources, recording meeting minutes Gathering feedback from external collaborators, including administration of editor surveys Proposal review process for new books and thematic collections: researching and inviting reviewers and collating comments from reviewers and editors Editorial projects and resources: Coordinating the process for contracting new book volumes, in collaboration with Books Commissioning Editor Setting up new book volumes and journal thematic collections via Editorial Manager system and Lyell Collection online platform Support the provision of editor training on use of EM, in collaboration with Publishing Coordinators and Journal Development Editor / Commissioning Editor Support maintenance of online guidelines for editorial contributors via Publishing Support Hub, in collaboration with Pub Hub Advisory Group Ad hoc support for copyright permissions process, including liaising with authors towards clearing figure and personal communications, as required Market research and data collection for editorial projects. Examples may include AI for publishing, research integrity, tenders and proposals, new partnerships (books) General: Support for Editor and Authors newsletters - coordinating schedule and content, liaising with editorial and marketing colleagues Any other tasks that can be reasonably requested. What we're looking for Educated to A-level or degree level Good IT proficiency (particularly spreadsheets) and full familiarity with the normal range of office software Excellent interpersonal and communication skills Excellent administrative, organisational and time management skills Some general knowledge of, and interest in, the publishing process would be helpful The duties and responsibilities highlighted in this Job Description are indicative and may vary over time. As required, post holders are expected to undertake other duties and responsibilities relevant to the nature, level and scope of the post. A bit about us The Geological Society is a registered charity and employs just under 60 staff at its offices in London and Bath. The Society Publishing House is based in Bath, from where we provide a full publishing service to an international geoscience community across a portfolio of books, journals, and associated products. As an employee conscious company, we invest in our staff by emphasising training, growth and progression in every role. We firmly believe in creating a positive workplace wellbeing culture and offer a range of benefits to our staff including: 25 days basic holiday entitlement, increasing up to 30 days with continued service (pro-rated for part-time staff) Option to purchase up to 2 days extra holiday days per year Contributary pension scheme with 10% employer contribution Access to 24/7 online GP with mental health & wellbeing counselling Free premium Headspace account for you and 2 members of friends/family Discounts and recognitions scheme Cycle to Work scheme Season Ticket Loan scheme Life Assurance and Income Protection schemes Free access to Royal Academy exhibitions Free Geological Society Fellow membership for qualified staff The Society is committed to fostering an inclusive culture that promotes equality, values diversity and maintains a harmonious inclusive environment in which the rights and dignity of all its members visitors and staff are respected. We are an equal opportunities employer and the post-holder will be expected to adhere to and support the Society's commitment to diversity, equality and inclusion. How to apply To apply for this position, please forward a copy of your CV together with a cover letter by an email via the button below. Please ensure that your cover letter highlights your experience in no more than 500 words. As part of our inclusive recruitment initiative, we have introduced the concept of anonymous recruiting in order to evaluate applicants solely on their skills and experience. With this in mind, we encourage you to: Anonymise your application by stating only your initials in your CV (including your file name) and cover letter State your initials only and job title you are applying for in the subject line when sending your application Ensure that you have included your contact email and number, as well as dates when you will not be available or might have difficulty with the indicative timetable Please let us know if you will require any special provisions to be made should you be called for an interview. We regret that unsuccessful candidates will not be contacted. All applicants must have the right to work in the UK.
Research Scientist in Biokinetics (Crop Protection) Are you passionate about advancing agricultural science and contributing to global food security? Our client, a leading R&D organization in agriculture, is seeking a dedicated Research Scientist to join their dynamic Bioperformance group. This is your chance to make a meaningful impact in crop protection through innovative research! About the Opportunity: In this role, you'll delve into the ADME (Absorption, Distribution, Metabolism, and Elimination) behavior of active ingredients. Your research will provide critical insights into performance characteristics such as selectivity and resistance, ultimately enhancing how crops are grown worldwide. Key Responsibilities: Conduct a variety of projects focused on product development and market support. Design, plan, execute, and analyze experiments to understand how active ingredients interact with plants. Perform lab and glasshouse assays, producing high-quality data on the bioavailability of agrochemicals. Communicate findings through detailed reports and presentations. Ensure compliance with health, safety, and environmental (HSE) standards. What We're Looking For: Essential Qualifications: BSc or MSc (preferred) in Plant Biology, Biochemistry, Chemistry, or Soil Science. Minimum of two years of laboratory experience in a relevant setting. Strong skills in scientific writing and communication. Desirable Skills: Experience in Pharmacology, Agronomy, Crop Protection, Biochemistry, or Analytical Chemistry. Familiarity with handling large data sets and using data analysis tools. Knowledge of the ADME study of active ingredients and experience with LC-MS. Understanding of plant physiology and crop health. Position Details: Duration: Two years Number of Positions: 1 Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Apr 30, 2026
Contractor
Research Scientist in Biokinetics (Crop Protection) Are you passionate about advancing agricultural science and contributing to global food security? Our client, a leading R&D organization in agriculture, is seeking a dedicated Research Scientist to join their dynamic Bioperformance group. This is your chance to make a meaningful impact in crop protection through innovative research! About the Opportunity: In this role, you'll delve into the ADME (Absorption, Distribution, Metabolism, and Elimination) behavior of active ingredients. Your research will provide critical insights into performance characteristics such as selectivity and resistance, ultimately enhancing how crops are grown worldwide. Key Responsibilities: Conduct a variety of projects focused on product development and market support. Design, plan, execute, and analyze experiments to understand how active ingredients interact with plants. Perform lab and glasshouse assays, producing high-quality data on the bioavailability of agrochemicals. Communicate findings through detailed reports and presentations. Ensure compliance with health, safety, and environmental (HSE) standards. What We're Looking For: Essential Qualifications: BSc or MSc (preferred) in Plant Biology, Biochemistry, Chemistry, or Soil Science. Minimum of two years of laboratory experience in a relevant setting. Strong skills in scientific writing and communication. Desirable Skills: Experience in Pharmacology, Agronomy, Crop Protection, Biochemistry, or Analytical Chemistry. Familiarity with handling large data sets and using data analysis tools. Knowledge of the ADME study of active ingredients and experience with LC-MS. Understanding of plant physiology and crop health. Position Details: Duration: Two years Number of Positions: 1 Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
