DescriptionSenior Data ScientistAt 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 Senior Data Scientist to join our AI Hub Engineering team. This role is located in Dublin, Ireland. The successful candidate will join our Applied AI R&D Team in Dublin that was named Team of the Year at BNY Ireland, and which continuously pushes the boundaries of AI at BNY, files patents, and presents their work at international conferences (e.g., NeurIPS 2025, AAAI 2026) and academic journals.In this role, you'll make an impact in the following ways:Develop AI/ML and Generative AI / LLM models to address challenging and impactful business problems for BNY, from proofs of concept to production-level deliverables, and produce thorough model evaluation and documentation to support decision-making and assess model riskWrite patents and academic papers, with a focus on top-tier AI conferences and journalsDefine, create, and maintain actionable insights using data science and statistical analysis. Prepare analyses to provide business decision-supporting factsThoroughly evaluate solutions and produce supporting documentation; assess results to ensure accurate business decision-supporting informationCollaborate with colleagues and subject matter experts (SMEs) to obtain data and domain knowledge needed to conduct advanced analyticsContinuously grow and develop skills across AI/ML and GenAI and increase business acumenStay highly up to date with the latest advances in AI/GenAI, technology innovations, and banking industry trends. Share findings with the team, recommend areas for improvement, and promote adoption of AI tools and platformsBe proactive and autonomous in solving problems, demonstrating a strong sense of ownership and urgencyDemonstrate leadership skills and ownership by taking initiative, making progress through teamwork and stakeholder engagementTo be successful in this role, we're seeking the following:PhD degree in a STEM field is requiredRelevant work experience (experience in the financial services industry is a plus)Deep understanding of applied data science, ML, NLP (e.g., feature engineering, supervised/unsupervised learning, predictive analytics, clustering, anomaly detection, sentiment analysis, entity recognition), and GenAI/LLMStrong and proven hands-on experience implementing solutions (e.g., Python, scikit-learn, pandas, Keras, TensorFlow/PyTorch, LLM models)Strong communication skills (presenting, writing) and a highly collaborative mindsetInnovative mindset and creative thinking demonstrated by publications and patentsAt BNY, our culture speaks for itself, check out the latest BNY news at:BNY NewsroomBNY LinkedInHere's a few of our recent awards:America's Most Innovative Companies, Fortune, 2025World's Most Admired Companies, Fortune, 2025"Most Just Companies", Just Capital and CNBC, 2025Our 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.