Vice President, 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, 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 Vice President, Data Scientist to join our Corporate Engineering team.

This role is located in Pune.

In this role, you’ll make an impact in the following ways:

• Design, develop, test, and maintain scalable data processing solutions and supporting application components.
• Work with large and diverse datasets to cleanse, transform, enrich, and structure data for analytical and operational use.
• Build and optimize distributed data pipelines to support high-volume processing, data integration, and insight generation.
• Develop robust transformation logic and analytical workflows using Spark-based processing frameworks.
• Evaluate statistical outcomes and analytical results to help prioritize, tune, and refine data models for improved business relevance and performance.
• Contribute to the development of data-driven approaches for linking, matching, and resolving entities across disparate data sources.
• Partner with data architects, data scientists, engineers, and business stakeholders to implement scalable and reliable technical solutions.
• Support the industrialization of data products and services into enterprise systems and business processes.
• Improve platform performance, resiliency, maintainability, and data quality across the solution lifecycle.
• Contribute to modern engineering practices across design, testing, documentation, deployment, and release management.
• Participate in agile delivery and continuous improvement initiatives across the team.

To be successful in this role, we’re seeking the following:

• 10+ years of experience in data engineering, analytics engineering, data science engineering, or related data-intensive technical roles.
• Strong hands-on experience in Scala and distributed data processing using Apache Spark, including Spark SQL for large-scale transformation and analytical workloads.
• Proven ability to wrangle, process, and refine very large datasets into analysis-ready assets and business-relevant insights.
• Experience evaluating statistical outcomes, analytical performance, and model results to support prioritization and refinement of data models and analytical workflows.
• Strong understanding of data integration, ETL/ELT patterns, data mapping, parsing, and data quality management.
• Good grounding in relational data concepts, object-oriented design, and enterprise software engineering practices.
• Experience with source control, testing, and CI/CD practices in production-oriented environments.

Strong problem-solving skills and the ability to work effectively across technical and non-technical teams.

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

Here’s a few of our recent awards:

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

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.