Fifth Third Bank is seeking to transform financial services using AI and Machine Learning to delight customers and improve business outcomes. The role aims to leverage data science to address challenges such as reducing losses from bad loans, optimizing retail banking center placement, acquiring profitable customers, ensuring equitable data-driven methods, and automating operations for efficiency and customer satisfaction.
Requirements
- Fluent in python, pandas, scikit-learn, SQL, statistics
- Practical experience applying AI/ML: project work, practicum, research or job experience
- Ability to understand and implement cutting edge methods published in conferences and journal preferred but not required
Responsibilities
- Gather and prepare data for analysis/modeling, including unstructured and structured data, including: tabular data, text, maps, images, voice, video, etc.
- Develop data processing, model development and inference pipelines in python leveraging open source tools such as pandas and scikit-learn
- Understand modeling algorithms and methods: how the learning algorithms work, which ones to use for which task, and how to debug and fix them when you don’t get the outcomes you want
- Leverage predictive modeling techniques for applications such as classification, regression and sequence modeling, including ensemble methods that combine e.g., LLM embeddings with more traditional supervised methods
- Perform evaluations to establish the efficacy and stability/reliability of model outputs
- Document the model development process for risk management partners who ensure what we develop will pass muster with regulators
- Leverage web services, containers, and cloud services to deploy and manage models
Other
- This position is not available for immigration sponsorship.
- Voracious curiosity and a passion for applied statistics and data science
- Excellent written and oral communications skills
- Focus on outcomes, able to effectively manage time, independent and highly self-motivated
- Bachelor's degree in a quantitative field such as Computer Science, Mathematics, Statistics, Economics, Physics (where AI/ML and predictive modeling played a central role in coursework and research); Advanced degrees preferred but not required
