Data Scientist (Customer Identity)

Starling Bank

Starling Bank, a pioneering digital bank in the UK, aims to revolutionize banking with cutting-edge technology and transparent service. As a fast-paced tech company with a banking license, they foster innovation and collaboration to demystify finances for everyone. The Data Scientist role is crucial for advancing analytical solutions in customer identity and financial crime.

In this role you can expect to have the responsibilities:

• Develop and deploy machine learning models to enhance decision-making processes
• Collaborate with various teams to identify data points for predictive modeling
• Perform exploratory data analysis to uncover trends in customer identity data
• Continuously refine identity models for better accuracy and efficiency

This role comes with the following benefits:

• 25 days holiday with flexible public holiday options
• Birthday leave
• Extended leave options with service length
• Paid volunteering time
• Enhanced pension scheme
• Life insurance and income protection
• Private medical insurance with additional partner benefits
• Family-friendly policies
• Perkbox membership for discounts and wellness
• Cycle to Work and Electric Vehicle leasing initiatives

This role requires you to have:

• Industry experience in Data Science and Machine Learning projects
• Proficiency in Python and SQL
• Experience with identity verification, KYC, computer vision, OCR, and anomaly detection
• Expertise in data wrangling and visualization
• Understanding of the software development life cycle and version control tools

You would benefit from having:

• Experience with AWS or GCP
• Interest in developing explainable ML models
• Familiarity with data privacy regulations

Starling Bank is committed to diversity and inclusion and is an equal opportunity employer. They encourage potential candidates from all backgrounds to apply and assure that personal data is handled according to their Privacy Notice.