B
BNY
Data Scientist

Senior Specialist, Data Scientist

On-siteSeniorData Scientistposted 3mo ago
✦Role summaryAI-generated

This role focuses on leading high-impact data science initiatives within BNY’s Markets team, blending advanced analytics with strategic business decision-making to drive operational efficiency and predictive insights. The Senior Specialist will collaborate closely with cross-functional stakeholders to implement scalable, data-driven solutions while maintaining rigorous data governance and model performance standards.

Skills required

About this role

We’re seeking a future team member for the role of Senior Specialist, Data Scientist to join our Markets team. This role is located in London.

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

  • Lead complex data analysis initiatives using advanced statistical techniques and machine learning models to generate actionable insights that support business strategy and operational efficiency.
    • Partner with cross-functional teams to design and implement data-driven solutions aligned to organizational priorities and business objectives.
    • Manage and enhance large datasets while ensuring strong data integrity, accuracy, and adherence to data management and governance best practices.
    • Develop, maintain, and improve predictive models to forecast business trends and provide data-backed strategic recommendations.
    • Stay current on industry trends and emerging data science technologies to continuously strengthen analytical approaches and innovation.
    • Communicate findings clearly and effectively to stakeholders across all levels, translating complex analytical outputs into meaningful business actions.

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

  • Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field, or the equivalent combination of education and experience required; advanced degree preferred.
  • Proficiency in programming languages such as Python, or SQL.
  • Strong analytical and problem-solving skills, with the ability to interpret complex datasets and deliver actionable insights.
  • Excellent communication skills, with the ability to present data-driven recommendations to both technical and non-technical audiences.
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