At a Glance
- Tasks: Lead AI solution development and drive impactful projects from idea to adoption.
- Company: Join BNY, a global leader in financial services with a culture of innovation.
- Benefits: Competitive pay, flexible resources, generous leave, and wellbeing programs.
- Other info: Mentorship opportunities and a dynamic team at the intersection of AI and finance.
- Why this job: Shape the future of finance with cutting-edge AI and transformative solutions.
- Qualifications: Advanced degree in Computer Science or related field; significant AI/ML experience required.
The predicted salary is between 80000 - 100000 £ per year.
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.
We’re seeking a future team member for the role of Vice President, Data Scientist – AI Hub to join our AI Hub team. This role is located in Manchester.
Why this role (for builders):
- High autonomy to shape solutions and drive work from idea to adoption.
- Work on AI capabilities that touch core financial operations used across global markets.
- Tackle complex, real world problems where reliability and trust matter.
- Bring strong craft—clean reasoning, clear evaluation, high quality system design.
- Help define reusable patterns, standards, and emerging best practices across the platform.
- Gain platform visibility through demos and cross function collaboration.
- Join a high calibre team at the intersection of AI, engineering, and financial systems.
- Explore, prototype, and elevate successful ideas into firm wide capabilities.
- Own outcomes end to end with production reliability and observability.
- Grow as a systems thinker and lead new initiatives as our platform evolves.
In this role, you’ll make an impact in the following ways:
- Lead complex, end to end AI solution development on BNY’s AI platform ELIZA—from problem shaping and experimentation to deployment, adoption, and measurable business impact.
- Provide technical direction to pods; guide prioritization, trade offs, and architecture decisions across Product, Engineering, Operations, and Governance.
- Design and embed responsible AI practices into solutions—clear evaluation methods, transparency standards, risk controls, and human oversight patterns—while helping shape the AI Hub’s responsible AI framework.
- Partner with platform teams to deliver scalable, observable, secure capabilities; establish drift/quality monitoring and cost aware performance.
- Mentor juniors; uplift engineering quality via documentation, reusable accelerators, and communities of practice.
- Contribute to AI Hub standards, reference architectures, and platform components.
To be successful in this role, we’re seeking the following:
- Bachelor’s or Master’s in Computer Science, AI, Data Science, Engineering/Management (advanced degree preferred).
- Significant experience delivering AI/ML in enterprise environments with proven ownership of multi phase or multi pod programs.
- Deep applied experience across LLMs/NLP, agentic systems, retrieval architectures, robust evaluation, and enterprise grade delivery.
- Demonstrated ability to simplify complexity, set technical direction, and drive outcomes across teams.
- People leadership: Experience leading junior staff and matrixed contributors; proven mentorship and quality bar setting.
Our 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.
Vice President, Data Scientist - AI Hub in Stockport employer: BNY
At BNY, we pride ourselves on being an exceptional employer, particularly for the Vice President, Data Transfer – Integration & Quality role in London. Our commitment to a culture of excellence is reflected in our competitive compensation and comprehensive benefits, including generous paid leave and volunteer time, which support both personal and professional growth. We foster an inclusive environment that champions innovation and collaboration, providing ample opportunities for career advancement while ensuring our employees are equipped with the resources they need to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Vice President, Data Scientist - AI Hub in Stockport
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like BNY.
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We think you need these skills to ace Vice President, Data Scientist - AI Hub in Stockport
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at BNY, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at BNY. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at BNY
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at BNY!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
