Principal Engineer - Behaviors
MotionalSalary not specified
Full Time
Expert & Leadership (9+ years)
Lead Data Scientist - Deep Learning Practitioner at Capital One
London, England, United Kingdom
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, Banking, Lending, UnderwritingIndustries
Requirements
- Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers
- Proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team
- Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices
- 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
- Strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation
- Drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value
Responsibilities
- Lead the development of new deep learning approaches to advance current underwriting models, applying them to new types of (multi-modal) data to stay at the forefront of innovation
- Prioritise and own the roadmap for this work, balancing R&D with in-market results, and driving ideas from prototypes through to production
- Provide consultancy to tech and product partners to help design, develop and launch products powered by Large Language Models (LLMs), providing 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
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the location for this Lead Data Scientist role?
The position is based at White Collar Factory (95009), United Kingdom, London.
What salary or compensation is offered for this position?
This information is not specified in the job description.
What key skills are required for this Lead Data Scientist role?
Required skills include strong experience with deep learning models for sequential data using LSTMs or transformers, PyTorch/TensorFlow/Hugging Face, Python coding in teams, and statistics/machine learning with large datasets.
What is the team culture like at Capital One's Data Science team?
The team is talented, collaborative, and enthusiastic, focusing on deriving insights from complex data while working closely with business partners, with a commitment to diverse and representative teams.
What makes a strong candidate for this Lead Data Scientist position?
A strong candidate has a proven track record leading model development, including technical direction, project management, stakeholder communication, and mentoring, plus hands-on deep learning experience and a drive for learning.
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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