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# Data Scientist - Reinforcement Learning

- **Company:** EXL SERVICE
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Cloud Computing, Distributed Systems, Machine Learning, Tensorflow, Reinforcement Learning, Deep Learning, Machine Learning Operations, Markov, Databricks
- **Published:** June 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=aa48312906f071dc

## About the Role

* Experience in collections, credit risk, customer analytics, or financial services domains.
 * Familiarity with:

o Deep Learning frameworks (TensorFlow, PyTorch)
o MLOps and CI/CD workflows
o Real-time decision systems
o Cloud platforms such as AWS, Azure, or GCP
Qualifications: Must-Have Qualifications

 * Strong experience in Reinforcement Learning and sequential decision-making systems.

## Description

* Design and develop Reinforcement Learning models to optimize collections strategies, customer treatment paths, and recovery outcomes.
 * Build adaptive decisioning systems using techniques such as:

o Q-Learning
o Deep Q Networks (DQN)
o Policy Gradient Methods
o Contextual Bandits
o Markov Decision Processes (MDP)

 * Develop sequential and behavioral models for customer engagement, repayment prediction, and collections prioritization.
 * Apply stochastic modeling and probabilistic methods to optimize dynamic treatment strategies under uncertainty.
 * Collaborate with business stakeholders to translate collections and risk management problems into scalable AI/ML solutions.
 * Build and maintain machine learning pipelines in Databricks or similar distributed computing environments.
 * Conduct experimentation, simulation, and offline policy evaluation to validate RL strategies before deployment.


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