Data Scientist - Fraud Data and Analytics

HSBC

HSBC's Wealth and Personal Banking business provides a wide range of services to millions globally, including banking and wealth management. The Fraud Strategic Analytics team delivers cutting-edge analytics for UK Fraud Prevention and Detection, supporting a robust data-driven approach.

In this role you can expect to have the responsibilities:

• Design and deploy ML algorithms in production environments.
• Support and monitor the complete ML lifecycle.
• Improve the scalability and performance of ML algorithms.
• Automate building, testing, and deployment of ML models.
• Collaborate with various teams to enhance data analytics pipelines.

This role comes with the following benefits:

• Private healthcare for UK employees.
• Enhanced maternity and adoption pay.
• Generous employer pension contribution.

This role requires you to have:

• Hands-on experience in data analysis and development of ML solutions.
• Proficiency in Python and SQL, including libraries like Scikit-learn and Pyspark.
• Experience in designing and deploying classification models and understanding deep learning.
• Leading ML projects from conception to monitoring.
• Experience with cloud-native solutions, especially using GCP.

You would benefit from having:

HSBC is committed to diversity and inclusivity, offering opportunities for candidates with disabilities or neurodivergent conditions who meet the role's criteria. As a Disability Confident Leader, HSBC fosters an inclusive work environment for people of all backgrounds.