Job Description

Responsibilities

• (Hybrid), (3 days onsite/2 wfh)
• Will be working with machine learning, AI, large language modeling
• Have enough SAS resources, needs someone who can build data pipelines, use Power Apps
• Will be building models to help people across the bank, not just in Complaints, like one that can help to answer policy related questions in Teams for people inside the bank
• Day to day they will organize data in the system they’re assigned and run analytics
• Take questions and answers on that data
• Collaborate with managers on results and run through code again to get desired results
• Doesn’t work on production tasks, will be developing models to hand off to other teams to do production deployment
• Models typically take 6-12 weeks to develop
• Will be working as part of a team

Requirements

• 5-7 years of data modeling or Python development
• Python
• Data Modeling (tool agnostic)
• Natural Language Processing
• Large Language Modeling nice to have, can be learned
• Responsible for doing development using Python and Pyspark
• Strong skills in - SQL, and/or Python
• H20 and/or Pyspark – automated model development platforms
• Strong Background in statistical modeling and/ or data engineering (both are ideal)
• Communications - Ability to present findings, flag potential issues, and collaborate with team/ leadership consistently