💼 Job Title: Data Scientist
💰 Industry: Fintech
📍 Location: New York City
🕒 Contract: Contract
We’re partnering with an exciting Fintech organisation driving innovation through intelligent decision systems. They are developing a next-generation Next Best Action platform powered by Reinforcement Learning (RL), PyTorch, and Databricks. They’re seeking a skilled Data Scientist who can design, build, and deploy reinforcement learning models that continuously optimize customer interactions and strategic decision-making.
🧾 Key Responsibilities:
• Design and implement reinforcement learning algorithms (e.g., policy gradient, DQN, actor-critic) using PyTorch.
• Build, train, and evaluate RL models on Databricks, leveraging distributed data processing and MLflow for experiment tracking.
• Define and operationalize Next Best Action strategies by modeling reward functions and decision policies aligned with business outcomes.
• Develop and maintain scalable data pipelines and feature stores to support both real-time and batch decisioning.
🧾 Skills & Experience:
• 5+ years of experience in data science, applied ML, or AI engineering.
• Hands-on experience developing and deploying models in PyTorch.
• Strong knowledge of Reinforcement Learning fundamentals — exploration vs. exploitation, reward design, and policy/value methods.
• Proficiency in Databricks, including Spark-based data processing and model lifecycle management.
• Solid programming experience in Python and libraries such as NumPy, pandas, and scikit-learn.
