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Senior Data Scientist Job Opening In Pittsburgh – Now Hiring BNY Mellon


Job description


Senior Data Scientist 


 


At BNY, our culture allows us to run our company better and enables employees’ growth and success.

As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets.

Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.


Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent.

Together, we power the future of finance – and this is what #LifeAtBNY is all about.

Join us and be part of something extraordinary.


We’re seeking a future team member for the role of Senior Data Scientist.

This role is located in New York, NY 


 

We are seeking a highly skilled and experienced Senior Data Scientist to define, develop, maintain, and deliver strategic data science products that demonstrate the value and effectiveness of BNY.

The successful candidate will lead and direct projects to develop AI/ML products, GenAI/LLM models, and communicate insights leveraging the scientific method.


Key Responsibilities:

Develop AI/ML and Generative AI /LLM models to address challenging and impactful business problems for BNY, from proof of concepts to production-level deliverables, and produce thorough model evaluation and documentation to support decision and assess model risk

Develop and communicate insights leveraging the scientific method to inform business decisions

Collaborate with internal teams to understand strategic objectives, key performance indicators, and reporting requirements

Establish relationships to obtain data and subject knowledge needed to support advanced analytics

Stay abreast of technology innovations and trends, recommending areas for improvement

Be proactive and autonomous in solving problems, demonstrate a strong sense of ownership and urgency


Key Qualifications:

Advanced degree in STEM (Science, Technology, Engineering, and Math) or equivalent work experience

5+ years of related experience in AI/ML or data science, with experience in financial services or credit business a plus

Deep understanding of applied data science, AI/ML, and GenAI/LLM

Strong and proven hands-on experience implementing solutions (e.g., Python, scikit-learn, Pandas, Keras, TensorFlow/PyTorch, GPT models)

Strong communication skills and highly collaborative mindset

Innovative mindset and creative thinking demonstrated by publications and patents



At BNY, our culture speaks for itself, check out the latest BNY news at:








 


 Here’s a few of our recent awards: 


  • America’s Most Innovative Companies, Fortune, 2025

  • World’s Most Admired Companies, Fortune 2025

  • “Most Just Companies”, Just Capital and CNBC, 2025



 


Our Benefits and Rewards:


BNY 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.

 

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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Are You Looking for Senior Data Scientist Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at BNY Mellon adheres to the cultural norms as outlined by Expertini.

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7. Obeying United States laws and regulations

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