AI/ML Engineer
BambooHRSalary not specified
Full Time
Mid-level (3 to 4 years)
Data Scientist - Deep Learning Practitioner at Capital One
Nottingham, England, United Kingdom
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Finance, BankingIndustries
Requirements
- 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 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
Responsibilities
- Develop new deep learning approaches to advance current underwriting models, which form the heart of the lending business
- Apply these approaches to new types of (multi-modal) data in order to stay at the forefront of innovation
- Provide consultancy to tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs)
- 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
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the work location and arrangement for this role?
This is a permanent position based in the Nottingham office with a hybrid working model, requiring you to be in the office 3 days a week on Tuesdays.
What salary or compensation is offered for this Data Scientist role?
This information is not specified in the job description.
What key skills and experience are required for this position?
The role requires experience developing and deploying deep learning models for sequential data using LSTMs or transformers, hands-on experience with PyTorch, TensorFlow, or Hugging Face Transformers, familiarity with pre-training and fine-tuning large-scale models, and strong Python coding skills along with statistics and machine learning knowledge.
What is the company culture like for the Data Science team?
The Data Science team is talented, collaborative, and enthusiastic, focusing on deriving insights from complex data in close collaboration with business partners, with a commitment to creating diverse teams representative of customers and communities.
What makes a strong candidate for this Data Scientist role?
Strong candidates will have deep learning expertise in sequential data and LLMs, hands-on experience with frameworks like PyTorch or TensorFlow, the ability to communicate findings to business audiences, and a drive for continuous learning; candidates from under-represented groups such as women, LGBTQ+ community, and ethnic minorities are particularly encouraged to apply.
Capital One
Offers diverse financial products and services
About Capital One
Capital One provides a variety of financial services aimed at making banking accessible and easy for everyone. The company offers products such as credit cards, savings accounts, car loans, and business checking accounts, catering to both individual consumers and small businesses primarily in the United States. Capital One's approach includes user-friendly banking solutions with no fees or minimums for checking accounts, allowing customers to manage their finances more effectively. They generate revenue through interest on loans, credit card fees, and investment banking services. What sets Capital One apart from its competitors is its strong commitment to financial inclusion and literacy, demonstrated through community partnerships and educational initiatives, such as collaborations with Khan Academy. The company's goal is to create a more inclusive financial system and empower customers with the knowledge and tools they need to make informed financial decisions.
McLean, VirginiaHeadquarters
2014Year Founded
$15.9MTotal Funding
IPOCompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees
Benefits
Medical, Dental, & Vision coverage
Onsite Health Centers
Prescription saving with network of local pharmacies
Stock Purchase Plan
Education Assistance
401(k)
Flexible Spending Accounts
Life and Disability insurance
Generous paid time off + corporate & floating holidays
Registered dieticians on site, cooking classes and free virtual fitness classes
Employee Assistance Program
Risks
Increased competition in subscription management tools may dilute Capital One's advantage.
Over-reliance on partnerships could expose Capital One to technological risks.
Departure of key personnel like Joe Rodriguez may affect risk management continuity.
Differentiation
Capital One offers user-friendly banking with no fees or minimums for checking accounts.
The company partners with Khan Academy to provide financial literacy education.
Capital One is the first major U.S. bank to offer subscription management tools.
Upsides
Capital One's mobile app is a model for secure, user-friendly digital banking.
Data sharing with Worldpay enhances payment security and fraud prevention.
Partnerships with fintechs like Minna Technologies improve customer experience.
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