Data Scientist Deep Learning Practitioner

Capital One; City Of London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading financial services firm is looking for a Data Scientist to develop deep learning solutions that solve business problems. Candidates should have experience with deep learning models, particularly for sequential data, and familiarity with frameworks like PyTorch and TensorFlow. This permanent position offers a hybrid working model with three office days per week in either Nottingham or London. The role encompasses a commitment to diversity and the opportunity for career progression.

Benefits

Pension scheme

Bonus

Generous holiday entitlement

Private medical insurance

Cycle-to-work scheme

Enhanced parental leave

Qualifications

• Experience developing and deploying deep learning models, particularly for sequential data.
• Hands-on experience with modern Machine/Deep Learning frameworks like PyTorch, TensorFlow.
• Familiarity with pre-training and fine-tuning of large-scale models.
• Experience working with structured and unstructured data and tokenisation techniques.
• Understanding of probability, statistics, machine learning.
• Experience producing reliable code in Python.
• Ability to communicate findings to a diverse audience.
• Drive for continued learning.

Responsibilities

• Develop new deep learning approaches for underwriting models.
• Apply deep learning to new types of data.
• Navigate large amounts of data and extract actionable solutions.
• Work cross-functionally on key business initiatives.

Job description

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.

What you’ll do

• Develop 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 to stay at the forefront of innovation.
• 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

• Experience developing and deploying deep learning models, particularly for sequential data (e.g., time series, language), using techniques such as 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 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 to develop enterprise and industry‑leading solutions.

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 discussion 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 and invest 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.

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, such as:

• REACH – Race Equality and Culture Heritage group focusing on representation, retention and engagement for associates from minority ethnic groups and allies.
• OutFront – providing 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.

Key Skills are: Healthcare Attorney, Apache Tomcat, Commerce, Cost Estimation, Arabic

Employment Type: Full‑Time Experience: Years Vacancy: 1