Vice President, Data Scientist – AI Hub in Manchester

Vice President, Data Scientist – AI Hub in Manchester

Manchester Full-Time 80000 - 100000 € / year (est.) No home office possible
BNY Mellon

At a Glance

  • Tasks: Lead AI solution development and drive impactful projects from idea to adoption.
  • Company: Join BNY, a top global financial services company known for innovation.
  • Benefits: Competitive pay, flexible resources, generous leave, and wellbeing programs.
  • Other info: Mentorship opportunities and a dynamic culture focused on excellence.
  • Why this job: Shape the future of finance with cutting-edge AI and transformative solutions.
  • Qualifications: Advanced degree in relevant fields and 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.
  • 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.
  • 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.

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 Manchester employer: BNY Mellon

At BNY, we pride ourselves on fostering a culture of innovation and collaboration, making it an exceptional place for professionals in the financial services sector. Located in Manchester, our AI Hub offers high autonomy and the opportunity to work on transformative AI solutions that impact global markets, while also providing robust employee growth opportunities through mentorship and a commitment to responsible AI practices. With competitive compensation, generous benefits, and a focus on personal resilience, BNY is dedicated to supporting our employees' well-being and career advancement.

BNY Mellon

Contact Detail:

BNY Mellon Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Vice President, Data Scientist – AI Hub in Manchester

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at BNY. A friendly chat can open doors and give you insights that a job description just can't.

Tip Number 2

Show off your skills! If you've got a portfolio or projects that highlight your AI prowess, make sure to share them during interviews. It’s all about demonstrating what you can bring to the table.

Tip Number 3

Prepare for those tricky questions! Think about how your experience aligns with BNY's mission and values. Practising your responses can help you feel more confident and ready to impress.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team!

We think you need these skills to ace Vice President, Data Scientist – AI Hub in Manchester

AI Solution Development
Machine Learning (ML)
Natural Language Processing (NLP)
Technical Direction
Architecture Decisions
Responsible AI Practices
Scalable Systems Design

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Vice President, Data Scientist role. Highlight your experience with AI and data science, and don’t forget to showcase any leadership roles you've had. We want to see how you can bring your unique skills to our team!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at BNY. We love seeing candidates who can connect their experiences to our goals.

Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's AI solutions or complex data systems, we want to know how you've tackled real-world problems. This is your opportunity to demonstrate your hands-on experience.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re serious about joining our team!

How to prepare for a job interview at BNY Mellon

Know Your AI Stuff

Make sure you brush up on your knowledge of AI and machine learning, especially in the context of financial services. Be ready to discuss your experience with LLMs, NLP, and how you've tackled complex problems in previous roles.

Showcase Your Leadership Skills

Since this role involves mentoring juniors and leading teams, prepare examples that highlight your leadership style. Think about times when you guided a team through challenges or set high standards for quality.

Understand BNY's Culture

Familiarise yourself with BNY’s values and culture. They emphasise innovation and collaboration, so be prepared to discuss how your personal values align with theirs and how you can contribute to their mission.

Prepare for Technical Questions

Expect technical questions that assess your problem-solving skills and architectural decision-making. Practice articulating your thought process clearly, as they value clean reasoning and clear evaluation methods.