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Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Data Scientist - Model Developer / Statistician Job Title: Data Scientist - Model Developer / Statistician Location: Nottingham - Hybrid Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. We’re on a mission to be a force for good in lending. Throughout our almost 30-year history, we’ve consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK’s Best Workplaces list. about what it’s like working at Capital One UK. 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 critical business challenges in underwriting; developing and maintaining the models used to make customer lending decisions. We are interested in candidates who have a deep grounding in statistics and experience of Model Risk Management. Experience of working with Open Banking or Credit Bureau data is also welcomed. • Develop and maintain the models used by our key underwriting programs,, • Explore and evaluate data using advanced feature generation and categorisation techniques, in order to stay at the forefront of innovation., • 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., • A strong understanding of probability, statistics, machine learning, feature extraction and familiarity with large data set manipulation., • Familiarity with Open Banking or Credit Bureau data., • 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. 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. • Bring us all this - and you’ll be well rewarded with the 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. 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. 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 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. #J-18808-Ljbffr

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire 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 focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve predictive power and generate high-impact customer insights. Lead the development of next generation deep learning approaches to advance our current underwriting models, to ensure that our core lending capabilities remain at the forefront of the industry. Unlock the value in non-traditional datasets by building sophisticated neural networks (e.g. LSTMs, RNNs, or Transformers). You will find novel ways to transform raw, multi-modal inputs into powerful predictive features. Collaborate with business stakeholders to prioritize initiatives. You will bridge the gap between ambitious R&D and tangible in-market results, driving ideas from initial prototypes through to production. 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. Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series or language models). 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 SQL/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, including training deep learning models on GPUs or GPU clusters. 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 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. 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. 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. 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 #J-18808-Ljbffr

Responsibilities Conduct maintenance, servicing, and repairs on a variety of powered access machinery. Qualifications Proven experience working with powered access machinery or similar equipment. Day-to-Day Travel across the East Midlands to service and repair powered access machinery.

Field and depot-based engineer servicing and repairing powered access equipment across the Midlands region.

Skilled Powered Access Engineer needed for workshop and mobile repair work on Genie equipment, cherry pickers, and scissor lifts in Derbyshire.

Mobile Powered Access Engineer Location: Derby (Covering East Midlands) £40,000- £45,000 basic 42. Overview We are seeking a skilled and dedicated Mobile Powered Access Engineer to join our team. This role involves working across the East Midlands, maintaining and repairing a wide range of powered

Depot Engineer (Powered Access). We are supporting a well-established powered access and plant hire business who are looking to appoint a Depot Engineer to join their workshop team in the LE65 area. This is a hands-on workshop based role responsible for the inspection, maintenance, fault finding and

Seeking a skilled Mobile Powered Access Engineer for maintenance and repair of machinery across the East Midlands.

Mobile Powered Access Engineer role based in Maidstone, offering a salary of £40,000-£50,000 with a company van and overtime.

Seeking a skilled Mobile Powered Access Engineer for maintenance and repair of machinery across the East Midlands.

The Role: Service, maintain, inspect and test a range of powered access equipment Carry out planned preventative maintenance and reactive breakdown repairs (50/50) Diagnose and repair mechanical, electrical and hydraulic faults The Person: Proven experience as a Powered Access Engineer or similar ro

Access to your own delivery vehicle (bike, motorbike, car).

Access to your own delivery vehicle (bike, motorbike, car).

Access to your own delivery vehicle (bike, motorbike, car).

Access to your own delivery vehicle (bike, motorbike, car).

Access to your own delivery vehicle (bike, motorbike, car).