At a Glance
- Tasks: Create innovative deep learning models and provide consultancy to business partners.
- Company: Join a forward-thinking tech company committed to diversity and innovation.
- Benefits: Enjoy competitive pay, generous leave, private medical insurance, and funding for qualifications.
- Other info: Flexible work pattern with excellent career growth opportunities and modern office facilities.
- Why this job: Make a real impact with cutting-edge technology while working in a dynamic environment.
- Qualifications: Experience with deep learning models and strong coding skills in Python.
The predicted salary is between 60000 - 80000 £ per year.
Data Scientist / Deep Learning Practitioner
Location
London or Nottingham, United Kingdom
Working Pattern
3 days in office (Tuesday–Thursday) and 2 days remote
About the Role
Our Data Science team develops Machine Learning and Deep Learning solutions to solve business problems and deliver actionable insights.
This role focuses on creating proprietary deep learning models for underwriting and supporting business partners in developing advanced servicing products using Large Language Models.
Responsibilities
- Develop new deep learning approaches to advance underwriting models.
- Apply models to new types of multi‑modal data to stay at the forefront of innovation.
- Provide consultancy to tech and product partners to help design, develop and launch products powered by LLMs.
- Use business acumen, coding and statistical skills to navigate large data sets and extract actionable solutions.
- Work cross‑functionally on projects that support key business initiatives and drive sustainable growth.
Qualifications & Skills
- Experience developing and deploying deep learning models for sequential data (e. g., time series, language) using LSTMs or transformers.
- Hands‑on experience with Py Torch, Tensor Flow, or Hugging Face Transformers.
- Familiarity with pre‑training and fine‑tuning of large‑scale models.
- Experience working with structured and unstructured data, including tokenisation techniques.
- Strong understanding of probability, statistics, machine learning and large‑data set manipulation.
- Ability to write reliable, maintainable Python code and adapt to new languages/technologies.
- Excellent communication skills to present findings to a diverse, business‑focused audience.
- Drive for continued learning and development of industry‑leading solutions.
Work Environment
This is a permanent position based in either the Nottingham or London office.
You will spend three days a week in the office (Tuesday–Thursday), with Monday and Friday devoted to remote work.
Facilities include on‑site gym and restaurant in Nottingham and a rooftop running track and coffee bar in London.
Benefits
- Competitive pension and performance‑based bonus schemes.
- 25 days annual leave (increase with tenure); option to purchase additional days.
- Private medical insurance.
- Enhanced parental leave.
- Up to £5,000 funding for external qualifications.
- Equal Opportunity
Capital One is committed to diversity in the workplace. We value diverse perspectives and provide an inclusive culture that encourages innovation and collaboration.
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We think you need these skills to ace Data Scientist / Deep Learning Practitioner in City of Westminster
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