Morgan Stanley
Senior Data Scientist (NLP and GenAI Specialist)
Dallas, Texas +7 · Hybrid · Senior · Full-time · Posted Aug 14, 2026
- Location
- Dallas, Texas
Farmers Branch, TX
Addison, TX
Carrollton, TX
Coppell, TX
Irving, TX
Richardson, TX
Plano, TX - Experience
- 10+ years of hands-on industry experience; typically 9–10+ years' relevant experience would generally be expected.
- Education
- Master's or PhD degree in Computer Science, Machine Learning, Intelligent Systems, Statistics, Mathematics, Engineering, or another highly quantitative field.
About the job
Develops and deploys AI, machine learning, and NLP systems to improve surveillance and compliance monitoring and detect suspicious activity.
What you'll do
- Design systems using LLMs, RAG, agentic AI architecture, and knowledge graph analytics; create GenAI solutions to automate tasks and reduce costs.
- Research new analytical methods and lead junior data scientists.
- Collaborate with Compliance, Legal, Financial Crimes, and IT stakeholders to advance AI/ML/NLP adoption and improve suspicious-activity detection.
What they ask for
- Master's or PhD in a stated quantitative field.
- 10+ years of hands-on industry experience building AI/ML/NLP solutions and applying statistical analysis to complex business problems.
- Knowledge of software design and system principles; strong Python or Java skills.
- Experience with AI/ML/NLP packages, SDLC and Git operations, and benchmark creation and evaluation, including LLM-as-a-Judge techniques.
Nice to have
- Familiarity with financial markets, especially Compliance, Non-Financial Risk, and Fraud analytics.
- Knowledge of Vector Stores, Linux, SPARQL, and Graph Databases.
Tools
Python, Java, LangChain, LangGraph, Semantic Kernel, CrewAI, OpenAI SDK, PyTorch
AI focus
Build and deploy AI/ML/NLP and GenAI solutions for surveillance and compliance, including LLMs, RAG, agentic AI, knowledge graph analytics, and evaluation methods.
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