Applied Machine Learning Scientist I
About The Position
We are looking for a highly motivated Applied Machine Learning Scientist to join the Wealth AI / ML Practice, focused on Generative AI and Agentic Capabilities. In this role, you will work at the intersection of problem discovery, solution design, and implementation, helping shape how agent‑based and traditional AI solutions are applied across Wealth use cases. You will partner closely with business, technology, and risk stakeholders to evaluate whether a given problem is best solved using Agentic AI, Generative AI, or traditional ML approaches, and then help build solutions in Gen AI / Agentic space either using Pro Code or Low Code tools.
Requirements
- 2+ years of experience applying machine learning to real-world business problems
- Proficiency in Python and key ML libraries
- Experience with structured and unstructured data, feature engineering, and model interpretability techniques
- Hands-on experience with model deployment and monitoring in a production environment
- Strong problem-solving skills and a track record of delivering results in cross-functional teams
- Undergraduate degree required
Nice To Haves
- Experience working in financial services or regulated environments
- Exposure to GenAI or large language models and their practical applications
- Familiarity with causal inference or reinforcement learning
- advanced technical degree in a STEM field preferred
Responsibilities
- Develop, deploy, and maintain ML models for use cases such as customer segmentation, acquisition, pricing and lifetime value
- Translate business problems into analytical frameworks and collaborate with cross-functional teams to define success metrics and solution approaches
- Conduct rigorous model evaluation, A/B testing, and monitoring to ensure model performance, fairness, and stability in production
- Communicate complex technical results to non-technical stakeholders and provide actionable insights
- Stay current with ML research and industry trends to bring innovative approaches into production
Benefits
- health and well-being benefits
- savings and retirement programs
- paid time off
- banking benefits and discounts
- career development
- reward and recognition programs
- training programs
- competitive benefits plan
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
