Senior Principal Data Scientist

Are you ready to make an impact at DTCC?

Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We're committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.

Pay and Benefits:

Competitive compensation, including base pay and annual incentive Comprehensive health and life insurance and well-being benefits Pension Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).

The impact you will have in this role:

We are seeking a highly skilled Lead Data Scientist to drive AI research, experimentation, and innovation initiatives that help shape DTCC’s future AI capabilities. In this role, you will explore emerging techniques in machine learning, generative AI, and agent-based systems, evaluating how these technologies can be applied to solve complex problems across the organization.

You will lead the design and development of proof-of-concepts and prototypes that demonstrate new AI capabilities, working closely with engineering and product teams to translate innovative ideas into practical technical approaches that can be implemented at enterprise scale

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Your Primary Responsibilities:

Advanced Data Science & Machine Learning Expertise
Strong experience designing, developing, and deploying machine learning and AI solutions in production environments, including model evaluation, experimentation, and lifecycle management. Agentic AI & LLM Application Development
Hands-on experience building AI agents and LLM-powered systems, including prompt orchestration, tool use, retrieval-augmented generation (RAG), and multi-agent workflows. AI Infrastructure & Model Integration
Proven ability to design and build AI infrastructure that connects applications to models (internal or external), manages prompts and responses, and supports scalable, secure AI deployments. Data Engineering & Snowflake Expertise
Deep understanding of modern data platforms, including Snowflake, SQL optimization, data pipelines, and efficient data access patterns for large-scale analytics and AI workloads. Technical Leadership & Innovation
Demonstrated ability to lead technical initiatives, mentor data scientists and engineers, and continuously evaluate emerging AI technologies, tools, and architectures to drive innovation. Enterprise AI Solution Delivery
Experience translating business problems into scalable AI solutions, collaborating with product, engineering, and governance teams to move ideas from prototype to production grade

**NOTE: The Primary Responsibilities of this role are not limited to the details above. **

Qualifications:

Minimum of 7–10 years of experience in software engineering, platform architecture, or AI systems engineering. Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related technical discipline.

Talents Needed for Success:

Strong expertise in machine learning and AI techniques, including statistical modeling, generative AI, large language models, and modern AI frameworks. Experience researching and prototyping emerging AI technologies, including agent-based systems, prompt orchestration, and advanced AI experimentation methodologies. Strong data and analytical skills, including proficiency in SQL and modern data platforms such as Snowflake or other large-scale data environments. Ability to design and evaluate AI experiments and prototypes, translating research insights into clear technical recommendations and architectural guidance for engineering teams. Curiosity and innovation mindset, with a demonstrated ability to identify emerging technologies, assess their relevance, and explore new approaches to solving complex problems. Strong collaboration and communication skills, with the ability to clearly articulate complex AI concepts and research findings to both technical and non-technical stakeholders. Technical leadership and mentoring experience, guiding other data scientists and contributing to the development of best practices in AI research, experimentation, and evaluation

We offer top class training and development for you to be an asset in our organization!

The salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations.