Capital One
Nottingham, Nottinghamshire
Location Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire About this role Our Data Science team focuses on developing machine learning and AI solutions to solve business problems and deliver actionable insights. We are a collaborative, enthusiastic group who use our expertise to make sense of complex data, working closely with our business partners. This role will primarily focus on feature engineering and insight generation from new data types, and the development of machine learning models to address critical business challenges in underwriting. Candidates with experience working with Open Banking or Credit Bureau data, and a deep grounding in statistics and Model Risk Management, are preferred. What you'll do Develop and maintain machine learning models defining our competitive advantage in the financial services market. Explore and evaluate data using advanced feature generation and categorisation techniques to stay at the forefront of innovation. Analyse tabular and non tabular data (text, logs, time series) to produce powerful insights. Consult on complex statistical test design, efficiently learning into new market areas. Use a combination of business acumen, coding, and statistical skills to navigate large data sets and extract actionable solutions, working cross functionally to support key business initiatives and drive sustainable growth. What we're looking for A strong understanding of probability, statistics, machine learning, feature extraction and familiarity with large data set manipulation. Experience using deep learning models, particularly for sequential data. Familiarity with Open Banking or Credit Bureau data. Experience working with multi modal data from multiple sources. Experience in producing reliable, maintainable code in Python and ability to adapt to new languages and technologies. Experience of Model Risk Management, including technical documentation, coding best practices, and ongoing monitoring. Natural curiosity, proactive engagement, and a desire to challenge status quo and identify data science value. Ability to communicate findings to a diverse, business focused audience, influencing verbally and in writing. A drive for continued learning both internally and externally to develop enterprise leading solutions. Where and how you'll work This is a permanent position based in our Nottingham office with a hybrid working model: in office Tuesdays, Wednesdays and Thursdays; remote Monday and Friday. Flexible working arrangements are available. What's in it for you We offer strong career progression, training programmes and core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance. Flexibility in benefits such as season ticket loans, cycle to work scheme and enhanced parental leave is also available. Our head office provides a fully serviced gym, subsidised restaurant and mindfulness/music rooms. Equity, Diversity & Inclusion We are committed to creating a level playing field and seek to build teams representative of our customers and the communities we serve. Candidates from under represented groups, including women, LGBTQ+ and ethnic minorities, are especially encouraged to apply.
Location Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire About this role Our Data Science team focuses on developing machine learning and AI solutions to solve business problems and deliver actionable insights. We are a collaborative, enthusiastic group who use our expertise to make sense of complex data, working closely with our business partners. This role will primarily focus on feature engineering and insight generation from new data types, and the development of machine learning models to address critical business challenges in underwriting. Candidates with experience working with Open Banking or Credit Bureau data, and a deep grounding in statistics and Model Risk Management, are preferred. What you'll do Develop and maintain machine learning models defining our competitive advantage in the financial services market. Explore and evaluate data using advanced feature generation and categorisation techniques to stay at the forefront of innovation. Analyse tabular and non tabular data (text, logs, time series) to produce powerful insights. Consult on complex statistical test design, efficiently learning into new market areas. Use a combination of business acumen, coding, and statistical skills to navigate large data sets and extract actionable solutions, working cross functionally to support key business initiatives and drive sustainable growth. What we're looking for A strong understanding of probability, statistics, machine learning, feature extraction and familiarity with large data set manipulation. Experience using deep learning models, particularly for sequential data. Familiarity with Open Banking or Credit Bureau data. Experience working with multi modal data from multiple sources. Experience in producing reliable, maintainable code in Python and ability to adapt to new languages and technologies. Experience of Model Risk Management, including technical documentation, coding best practices, and ongoing monitoring. Natural curiosity, proactive engagement, and a desire to challenge status quo and identify data science value. Ability to communicate findings to a diverse, business focused audience, influencing verbally and in writing. A drive for continued learning both internally and externally to develop enterprise leading solutions. Where and how you'll work This is a permanent position based in our Nottingham office with a hybrid working model: in office Tuesdays, Wednesdays and Thursdays; remote Monday and Friday. Flexible working arrangements are available. What's in it for you We offer strong career progression, training programmes and core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance. Flexibility in benefits such as season ticket loans, cycle to work scheme and enhanced parental leave is also available. Our head office provides a fully serviced gym, subsidised restaurant and mindfulness/music rooms. Equity, Diversity & Inclusion We are committed to creating a level playing field and seek to build teams representative of our customers and the communities we serve. Candidates from under represented groups, including women, LGBTQ+ and ethnic minorities, are especially encouraged to apply.
Capital One (Europe) Plc
Nottingham, Nottinghamshire
About this role Our Data Science team focuses on the development of machine learning and AI solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to make sense of complex data, working in close collaboration with our business partners. This role will primarily focus on feature engineering and insight generation from new types of data and the development of machine learning models to address critical business challenges in underwriting. We are interested in candidates who have experience working with Open Banking or Credit Bureau data. A deep grounding in statistics and experience of Model Risk Management is also welcomed. What you'll do Develop and maintain the machine learning models which define our competitive advantage in the financial services market. Explore and evaluate data, using advanced feature generation and categorisation techniques, in order to stay at the forefront of innovation. Analyse tabular and non-tabular data, such as text, logs, or time series, to produce powerful new insights. Consult on complex statistical test design, to efficiently learn our way into new areas of the market. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions, working cross functionally to support key business initiatives and drive sustainable growth. What we're looking for A strong understanding of probability, statistics, machine learning, feature extraction and familiarity with large data set manipulation. Experience using deep learning models, particularly for sequential data. Familiarity with Open Banking or Credit Bureau data. Experience working with multi modal data; in multiple formats from a variety of different sources. Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies. Experience of Model Risk Management; technical documentation, coding best practices, the importance of validation and ongoing monitoring. Natural curiosity and proactive engagement with all areas of the business, with a desire to ask questions, challenge the status quo and identify where Data Science can add value. Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form. A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions. Where and how you'll work This is a permanent position based in our Nottingham 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. 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 realise their dreams. Together, we are on a quest to change banking for good.
About this role Our Data Science team focuses on the development of machine learning and AI solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to make sense of complex data, working in close collaboration with our business partners. This role will primarily focus on feature engineering and insight generation from new types of data and the development of machine learning models to address critical business challenges in underwriting. We are interested in candidates who have experience working with Open Banking or Credit Bureau data. A deep grounding in statistics and experience of Model Risk Management is also welcomed. What you'll do Develop and maintain the machine learning models which define our competitive advantage in the financial services market. Explore and evaluate data, using advanced feature generation and categorisation techniques, in order to stay at the forefront of innovation. Analyse tabular and non-tabular data, such as text, logs, or time series, to produce powerful new insights. Consult on complex statistical test design, to efficiently learn our way into new areas of the market. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions, working cross functionally to support key business initiatives and drive sustainable growth. What we're looking for A strong understanding of probability, statistics, machine learning, feature extraction and familiarity with large data set manipulation. Experience using deep learning models, particularly for sequential data. Familiarity with Open Banking or Credit Bureau data. Experience working with multi modal data; in multiple formats from a variety of different sources. Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies. Experience of Model Risk Management; technical documentation, coding best practices, the importance of validation and ongoing monitoring. Natural curiosity and proactive engagement with all areas of the business, with a desire to ask questions, challenge the status quo and identify where Data Science can add value. Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form. A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions. Where and how you'll work This is a permanent position based in our Nottingham 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. 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 realise their dreams. Together, we are on a quest to change banking for good.