Lead Deep Learning Scientist: Underwriting

Capital One; Mansfield; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Pension scheme

Bonus

Holiday entitlement

Private medical insurance

Season-ticket loans

Cycle to work scheme

Enhanced parental leave

Gym access

On-site restaurant

Mindfulness rooms

Music rooms

Job summary

Capital One in the United Kingdom is seeking a Lead Data Scientist / Deep Learning Practitioner to lead development of proprietary deep learning models that enhance underwriting capabilities. You will build neural networks (LSTMs, RNNs, Transformers) on multi-modal data, collaborating with stakeholders to prioritize initiatives and deliver production-ready solutions in a hybrid Nottingham-based role.

The position emphasizes leadership, mentoring, and applying modern ML frameworks such as PyTorch

Qualifications

• Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series or language models).
• Proven track record leading model development, including setting the technical direction, project management, stakeholder communications, and mentoring junior members.

Responsibilities

• Lead the development of next generation deep learning approaches to advance underwriting models.
• Unlock value in non-traditional datasets by building neural networks (e.g. LSTMs, RNNs, Transformers).
• Collaborate with stakeholders to prioritise initiatives and drive prototypes to production.
• Apply coding and statistical skills to navigate large data and extract actionable solutions.
• Work cross-functionally on projects that support business growth.

Skills

Deep learning

Time-series modeling

PyTorch

TensorFlow

Hugging Face Transformers

SQL/Python

Leadership

Tools

PyTorch

TensorFlow

Hugging Face Transformers

GPUs

Job description

Capital One in the United Kingdom is seeking a Lead Data Scientist / Deep Learning Practitioner to lead development of proprietary deep learning models that enhance underwriting capabilities. You will build neural networks (LSTMs, RNNs, Transformers) on multi-modal data, collaborating with stakeholders to prioritize initiatives and deliver production-ready solutions in a hybrid Nottingham-based role.

The position emphasizes leadership, mentoring, and applying modern ML frameworks such as PyTorch