Vice President, Data Scientist

Role overview

BNY is hiring a Vice President, Data Scientist to join its AI Hub Engineering team in Dublin, County Dublin, Ireland. The position sits within an organization focused on using advanced AI and technology to solve meaningful business challenges in global financial services.

BNY is a major financial services firm serving a significant share of the world’s investible assets. The company emphasizes innovation, strong collaboration with clients, and building AI-driven solutions that can influence the future of finance.

The selected candidate will be part of the Applied AI R&D group in Dublin, a team known for producing patents, presenting research at international conferences, and contributing to BNY’s work in advanced AI.

Key responsibilities

• Create AI, machine learning, and generative AI/LLM models to solve complex business problems, progressing work from early prototypes through production-ready delivery.
• Perform detailed model assessment and documentation to help guide decisions and understand model risk.
• Produce patents and academic publications, with attention to leading AI conferences and journals.
• Build, refresh, and maintain actionable insights through data science and statistical analysis for business decision support.
• Review solution outcomes carefully and prepare evidence-backed documentation that supports accurate business decisions.
• Work closely with colleagues and subject-matter experts to collect data and develop the domain understanding needed for advanced analytics.
• Keep advancing skills in AI/ML and GenAI while strengthening commercial understanding of the business.
• Stay current on AI progress, technology developments, and banking-industry trends, then share useful learnings and suggest improvements.
• Promote the use of AI tools and platforms across the team.
• Show initiative, autonomy, accountability, and urgency in solving problems.
• Demonstrate leadership through ownership, teamwork, and active engagement with stakeholders.

Requirements

• A PhD in a STEM discipline is mandatory.
• Prior professional experience is expected; experience in financial services is advantageous.
• Strong understanding of applied data science, machine learning, NLP, and generative AI/LLMs.
• Hands-on implementation experience with tools and libraries such as Python, scikit-learn, pandas, Keras, TensorFlow, PyTorch, and LLM frameworks/models.
• Proven capability in areas such as feature engineering, supervised and unsupervised learning, predictive analytics, clustering, anomaly detection, sentiment analysis, and entity recognition.
• Excellent verbal and written communication skills.
• A highly collaborative working style.
• A creative, innovative approach supported by publications and patents.

Additional information

BNY highlights a culture centered on growth, excellence, and pay-for-performance. The company also offers competitive compensation, benefits, wellbeing resources, and generous paid leave, including paid volunteer time.

The employer states that it is an equal opportunity and affirmative action employer and welcomes applicants from underrepresented racial and ethnic groups, women, people with disabilities, and protected veterans.

Awards and recognition

• America’s Most Innovative Companies, Fortune, 2025
• World’s Most Admired Companies, Fortune, 2025
• “Most Just Companies”, Just Capital and CNBC, 2025