Data Scientist - Statistician - Capital One eFinancialCareers

Notjustlabcoats; Nottingham; Hybrid; GBP 45,000 - 60,000; Full time

Job summary

A leading financial services firm in Nottingham is seeking a skilled Data Scientist to join their dynamic team. This role focuses on developing machine learning models and generating insights from diverse data types. Candidates should have strong statistical and programming skills, notably in Python, with experience in deep learning. The firm offers a hybrid work model, competitive benefits including a pension scheme, bonus, and generous holiday entitlement, ensuring an inclusive working environment.

Benefits

Private medical insurance

Flexible working arrangements

Generous holiday entitlement

Subsidised restaurant

Qualifications

• Strong understanding of probability and statistics.
• Experience with machine learning and deep learning.
• Ability to work with multi-modal data.

Responsibilities

• Develop and maintain machine learning models.
• Analyse tabular/non-tabular data for insights.
• Consult on complex statistical test design.

Skills

Probability and statistics

Machine learning

Deep learning

Python programming

Data manipulation

Communication skills

Job description

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire

Data Scientist - Statistician

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 feature engineering and insight generation from new types of data and the development of machine learning models to address critical business challenges in underwriting.

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, 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 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.
• Experience working 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.

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 would 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 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 training programmes.
• 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.

Internal networks and support groups

• 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.

Legal and contact information

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 our recruiting process, please send an email to the recruitment team.

Capital One Financial is made up of several different entities. Please note that any position posted in the United Kingdom is for Capital One Europe. All applying parties must agree to the terms and conditions set out in the privacy statement.