Hybrid Deep Learning Scientist for Underwriting DL

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

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.