Senior Applied Data Scientist – AI Enablement & Model Deployment

Company Background

Our client is a leading bank investing heavily in artificial intelligence to transform customer experience, pricing strategies, and operational decision-making. With a dedicated AI team and strong business sponsorship, this group is focused on delivering high-impact ML solutions across a range of commercial use cases.

Job Description

As a Senior Applied Data Scientist, you will:

• Develop and deploy production-grade machine learning models for key business use cases such as customer segmentation, acquisition, pricing, and lifetime value.
• Partner with cross-functional teams to translate business problems into analytical frameworks and measurable outcomes.
• Lead model evaluation efforts including A/B testing, fairness and stability monitoring, and production performance validation.

Job Requirements

• 4+ years of experience applying data science and machine learning to real-world business problems.
• Proficiency in Python and popular ML libraries (e.g., scikit-learn, pandas, NumPy, etc.).
• Experience working with structured and unstructured data, feature engineering, and model interpretability techniques.
• Familiarity with causal inference or reinforcement learning.
• Exposure to GenAI or large language models (LLMs) and their commercial applications.

Why Apply?

This is a unique opportunity to join a rapidly growing AI function within a large organization that is serious about ML investment and adoption. If you're passionate about building scalable, real-world ML systems that deliver measurable business value, and want to work alongside a smart, collaborative team, email riley.king@tekrek.io for more details.