Data Scientist - Deep Learning Practitioner

Webvoordeel.nu; Nottingham; Hybrid; GBP 45,000 - 70,000; Full time

Job summary

A leading financial services company in Nottingham seeks a Data Scientist - Deep Learning Practitioner to develop innovative solutions using machine learning. The ideal candidate will have experience in deep learning models, work collaboratively within a hybrid environment, and enjoy a range of career development opportunities. The role offers immediate access to essential benefits including private medical insurance and generous holidays.

Benefits

Pension

Bonus

Private medical insurance

Access to a fully-serviced gym

Subsidised restaurant

Qualifications

• Experience in developing deep learning models for sequential data.
• Hands-on experience with modern Machine/Deep Learning frameworks.
• Ability to communicate complex findings to non-technical audiences.

Responsibilities

• Develop new deep learning approaches to advance underwriting models.
• Provide consultancy to tech and product partners.
• Work cross-functionally on key business initiatives.

Skills

Deep Learning models

Machine Learning frameworks (PyTorch, TensorFlow)

Statistical skills

Python coding

Communication skills

Job description

About This Role

Data Scientist - Deep Learning Practitioner at Capital One in Nottingham. Our Data Science team develops Machine Learning and Deep Learning solutions to solve business problems and deliver actionable insights. We work closely with business partners to derive insights from complex data in a collaborative environment. This role will primarily focus on developing proprietary deep learning models to address critical business challenges in underwriting and will support business partners as they develop advanced servicing products using Large Language Models (LLMs).

What Youll Do

• Develop new deep learning approaches to advance underwriting models that form the heart of our lending business.
• Apply these approaches to new types of (multi-modal) data to stay at the forefront of innovation.
• Provide consultancy to our tech and product partners to design, develop and launch products powered by Large Language Models (LLMs), enabling seamless experiences for 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 Were Looking For

• Experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using LSTMs or transformers.
• 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.
• Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies.
• 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. We’re open to discussing flexible working arrangements.

What’s In It For You

• Rewarding role contributing to the roadmap of an organisation committed to transformation.
• Strong and diverse career progression with Capital One University training programmes and external providers.
• Immediate access to core benefits including pension, bonus, generous holiday entitlement and private medical insurance, with flexible benefits such as season-ticket loans, cycle to work, and enhanced parental leave.
• Open-plan workspaces and accessible facilities; Nottingham head-office includes a fully-serviced gym, subsidised restaurant, mindfulness and music rooms.

What You Should Know About How We Recruit

We value diversity and inclusion and welcome applicants from all backgrounds. We strive to hire the best people and offer fair and accessible recruitment processes, with benefits that attract people at all ages and stages.

We partner with organisations such as Women in Finance, Race At Work Charters, Stonewall and UpReach. Internal networks include REACH, OutFront, Mind Your Mind, Women in Tech and EmpowHER, among others.

• REACH – Race Equality and Culture Heritage group
• OutFront – LGBTQ+ support
• Mind Your Mind – mental wellbeing support
• Women in Tech – inclusive environment in tech
• EmpowHER – network for female associates and allies

Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact us. All information will be kept confidential and used solely to provide a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please email us. Capital One does not endorse or guarantee third-party products or services available through this site. Capital One Financial is made up of several entities; positions posted in the UK are for Capital One Europe.

Who We Are

At Capital One, we’re building a leading information-based technology company guided by our values: collaboration, openness, innovation powered by perspective, and respect. We strive to help customers succeed by bringing ingenuity, simplicity and humanity to banking.