Data Scientist – ML & Feature Engineering for Underwriting

Capital One; Nottingham; Hybrid; GBP 55,000 - 75,000; Full time

Job summary

A leading financial services company is seeking a Data Scientist to join their team in Nottingham, focusing on developing machine learning models and generating insights from various data types. You will be responsible for feature engineering and exploring data to drive business initiatives. Candidates should have strong skills in statistics and machine learning, with a solid background in Python programming. This is a permanent role with a hybrid working model, requiring presence in the office three days a week. The company offers excellent benefits, including access to a flexible benefits package.

Benefits

Pension scheme

Generous holiday entitlement

Private medical insurance

Flexible working arrangements

Fully-serviced gym

Subsidised restaurant

Qualifications

• Strong understanding of probability, statistics, and machine learning principles.
• Experience with deep learning models for sequential data.
• Ability to communicate findings clearly to diverse audiences.

Responsibilities

• Develop and maintain machine learning models for competitive advantage.
• Analyze tabular and non-tabular data to generate insights.
• Consult on statistical test design for market exploration.

Skills

Probability

Statistics

Machine Learning

Feature Extraction

Python

Deep Learning

Data Manipulation

Model Risk Management

Job description

A leading financial services company is seeking a Data Scientist to join their team in Nottingham, focusing on developing machine learning models and generating insights from various data types. You will be responsible for feature engineering and exploring data to drive business initiatives. Candidates should have strong skills in statistics and machine learning, with a solid background in Python programming. This is a permanent role with a hybrid working model, requiring presence in the office three days a week. The company offers excellent benefits, including access to a flexible benefits package.