Vice President, Data Scientist I - BNY : Job Details

Vice President, Data Scientist I

BNY

Job Location : Lake Mary,FL, USA

Posted on : 2025-08-12T00:53:08Z

Job Description :

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Vice President, Data ScientistAt BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world's financial system, we touch nearly 20% of the world's investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities, and people everywhere.

Job DescriptionVice President, Data ScientistAt BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world's financial system, we touch nearly 20% of the world's investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities, and people everywhere.We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what is all about.We are seeking an experienced Data Scientist that defines, develops, maintains, and delivers strategic data science products that demonstrate the value and effectiveness of the organization. This role focuses on leveraging advanced AI models, specifically LLMs, to solve complex problems and drive business value. This involves developing, fine-tuning, and deploying software solutions that use LLM and AI models. The role requires strong technical skills in LLM, prompt engineering, and python application development.This role is in Lake Mary, United States – ONSITE/Hybrid (4-day in office/1 day optional remote)In this role, you'll make an impact in the following ways:

  • Design, develop and test LLM based AI models with RAG/Autogen and prompt engineering.
  • Analyse the model output to define, create, and maintain meaningful insights to support advanced analytics. Unlock the full potential of AI to accurate extract data, automate tasks and gain deeper insights from data.
  • Develop regression, stress test and automated testing frameworks for LLM models testing.
  • Collaborate cross-functionally to embed RAG- enabled LLM's in product features.
  • Deploy container based services to cloud and support end to end lifecycle.
  • Establish relationships to obtain data and subject knowledge necessary for analytics initiatives.
  • Conduct studies to provide additional facts for informed decision-making regarding organizational and functional effectiveness.
  • Provide training in technical tools, skills, specific applications, and their business functions to maximize team contribution.
  • Grow and develop skills across the three domain specialties: model science, feature science, and insight science capabilities.
Strategic Impact: This role will contribute to our strategic pillars by:
  • Running our Company Better through process simplification and operational efficiency improvements
  • Being More for our Clients by enhancing our client offerings and integrating with external partners
Qualifications
  • Minimum 5-8 years of related software coding experience required; experience in the securities or financial services industry is a plus. Master's degree in STEM or equivalent work experience.
  • Strong hands-on experience and knowledge in Python programming, service-oriented architecture. Experience in building and deploying code via Kubernetes
  • 1+ years of demonstrated experience building LLM and GenAI tools.
  • Experience with LangChain, RAG, LLM fine tuning and Prompt engineering.
  • Proficient in developing Machine learning or LLM based AI solutions (RAG or Autogen)
  • Passing for solving complex data problems and developing cross functional solutions in a fast-paced environment
  • Demonstrated experience in building software solutions following Agile, test-driven development practises.
  • Proficient in scripting and SQL for data management, strong understanding of SDLC lifecycle and manging cloud deployments of containers.
  • Strong understanding of AI agent architecture, solid grounding and prompt engineering.
At BNY, our culture speaks for itself. Here are a few of our awards:
  • America's Most Innovative Companies, Fortune, 2024
  • World's Most Admired Companies, Fortune 2024
  • Human Rights Campaign Foundation, Corporate Equality Index, 100% score, 2023-2024
  • Best Places to Work for Disability Inclusion, Disability: IN – 100% score, 2023-2024
  • “Most Just Companies”, Just Capital and CNBC, 2024
  • Dow Jones Sustainability Indices, Top performing company for Sustainability, 2024
  • Bloomberg's Gender Equality Index (GEI), 2023
Our Benefits And RewardsBNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionOther

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