Senior Data Scientist (NLP and GenAI Specialist)

Morgan Stanley

3.1

(72)

Multiple Locations

Why you should apply for a job to Morgan Stanley:

  • Our best-in-class Return to Work program is an excellent opportunity to re-engage and pick up where you left off after a career break.
  • Whether you're welcoming a new addition, watching your children grow or caring for aging parents, there’s support.
  • An employee stock purchase program, 401(k) retirement savings, 529 plans with a company match, IRAs? Check, check, check and check.
  • #PT-JR028931

    Position summary

    always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

    What you'll do in the role:

    Design high-performance systems leveraging cutting-edge techniques including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Agentic AI architecture, and knowledge graph analytics.
    Create GenAI-based solutions to automate manual tasks and drive cost efficiency.
    Conduct research to identify novel methods for enhancing analytical solutions.
    Lead and develop junior data scientists to achieve key business objectives
    Collaborate with Compliance, Legal, Financial Crimes, and IT stakeholders to champion the adoption of new AI/ML/NLP approaches, techniques and capabilities
    Champion innovative approaches to improve detection of suspicious activity.

    What you'll bring to the role:

    Master's or PhD degree in Computer Science, Machine Learning, Intelligent Systems, Statistics, Mathematics, Engineering or other highly quantitative fields
    10+ years of hands-on industry experience in building AI/ML/NLP solutions and applied statistical analysis to solve complex business problems
    Knowledge of software design and system principles and excellent skills in either Python (preferred) or Java
    Experience with AI/ML/NLP software packages such as LangChain, LangGraph, Semantic Kernel, CrewAI, OpenAI SDK, PyTorch, HuggingFace, etc.
    Experience in adhering to Software Development Life Cycle (SDLC) principles include GIT related operations
    Strong problem solving and time management skills
    Excellent written and oral communication skills
    Familiarity with financial markets, especially in Compliance, Non-Financial Risk, and Fraud analytics
    Experience with benchmark creation and evaluation including LLM-as-a-Judge based techniques
    Knowledge of Vector Stores, Linux, SPARQL, and Graph Databases

    Typically, 9-10+ years' relevant experience would generally be expected to find the skills required for this role

    WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

    At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.

    To learn more about our offices across the globe, please copy and paste https://https://www.morganstanley.com/about-us/global-offices into your browser.

    Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.

    It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

    Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

    Why you should apply for a job to Morgan Stanley:

  • Our best-in-class Return to Work program is an excellent opportunity to re-engage and pick up where you left off after a career break.
  • Whether you're welcoming a new addition, watching your children grow or caring for aging parents, there’s support.
  • An employee stock purchase program, 401(k) retirement savings, 529 plans with a company match, IRAs? Check, check, check and check.