Data Science Analyst

About the role

The role will be in the Data Science and Modeling of North America Consumer Bank team The role will report to the AVP / VP leading the team The NGA modeling team will focus on the following areas of work: Client Obsession – Create client centric analytic solution to business problems. Individual should be able to have a holistic view of multiple businesses and develop analytic solutions accordingly.

What you'll do

• Work with large and complex datasets using a variety of tools (Python, PySpark, SQL, Hive
• Primary focus areas include model training/fine-tuning, model validation, model deployment, and model governance related to multiple portfolios
• Design, fine-tune and implement LLMs/GenAI applications using techniques like prompt engineering, Retrieval Augmented Generation (RAG) and model fine-tuning
• Responsible for documenting data requirements, data collection/processing/cleaning, and exploratory data analysis
• Incumbents in this role may often be referred to as Data Scientists

What you need

• Machine learning
• SQL
• Python
• Deep learning
• Statistics
• Spark

Good to have

• R
• LLMs
• Prompt engineering
• Data visualisation
• AML
• Hive