Machine Learning and GEN AI Data Scientist

Role Overview

The role will be in the Data Science and Modeling of North America Consumer Bank team, analyzing millions of prospects and billions of customer level transactions using big data tools and machine learning, AI techniques to unlock opportunities for our clients in meeting their financial needs and create economic value for the bank.

What You Will Do

The role will involve extracting relevant insights, identifying business opportunities, converting business problems into modeling framework, using big data tools, latest deep learning and machine learning algorithms to build predictive models, implementing solutions and designing go-to-market strategies for a huge variety of business problems.

Why It Might Be a Fit

The ideal candidate will have a strong background in statistical analysis, experience in machine learning software frameworks, and a willingness to learn and implement innovative solutions at a fast pace.

Requirements

• Hands-on experience in PySpark/Python/R programming along with strong experience in SQL.
• 2-4 years of experience working with machine learning and statistical modeling techniques.
• Understanding around deep learning techniques.
• Experience working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.
• Strong background in Statistical Analysis.
• Capability to validate/maintain deployed models in production
• Self-motivated and able to implement innovative solutions at fast pace
• Experience in Machine Learning software frameworks
• Experience in Credit Cards and Retail Banking is preferred

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Life insurance
• Disability insurance
• 401(k) or pension plan
• Paid time off
• Paid holidays
• Flexible work arrangements

Tagged as: Python, SQL