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Manager - Data Science & AI - AI & Data - Technology Consulting

Job in Belfast, County Antrim, BT1, Northern Ireland, UK
Listing for: Ernst & Young Advisory Services Sdn Bhd
Full Time position
Listed on 2026-09-13
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Science Manager, Data Analyst, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 75000 - 110000 GBP Yearly GBP 75000.00 110000.00 YEAR
Job Description & How to Apply Below

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Manager
- Data Science & AI - AI & Data
- Technology Consulting
- Belfast

Location:

Belfast

Other locations:
Primary Location Only

Date: 4 Sept 2026

Requisition

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

Manager
- Data Science & AI
- Data & AI

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. As organisations look to improve decisions, products and services through data science and AI, our Data & AI practice continues to grow.

We are seeking high-performing individuals with a proven track record delivering data science, machine learning or AI solutions to join our team. This role can be based in either our Belfast or Derry/Londonderry office and offers the opportunity to work across assurance, consulting, law, strategy, tax and transactions.

The opportunity

Our Data & AI team focuses on helping clients unlock value from their information assets by embedding innovative data and AI solutions in existing business areas. Data & AI offers challenging work, career development and great job satisfaction.

Our Data Science and AI capability helps clients use data to improve decisions, products and services. As a Manager, you will lead multidisciplinary teams through the solution lifecycle, ensuring that analytical and AI solutions are useful, trusted and fit for purpose.

Your key responsibilities

Client Responsibilities

The nature of this role means no two projects will be the same. You’ll need to think on your feet and challenge existing practices to develop solutions for complex problems. You’ll also collaborate with colleagues across multiple service lines, build relationships and identify opportunities for our clients to benefit from our expertise in other areas. Occasional travel may be necessary as you will be meeting with key clients, some of whom are the most respected in their fields.

  • Lead AI & Machine learning engagements from problem definition through development and implementation, ensuring that each solution addresses a clear business need.
  • Work with senior client stakeholders to turn complex challenges into practical analytical use cases and explain the proposed approach in clear business language.
  • Provide technical direction across machine learning and generative AI, helping teams build solutions that are scalable, robust and maintainable.
  • Work with multidisciplinary teams to move solutions from experimentation into production, with appropriate consideration of security and responsible AI.
  • Manage delivery plans, budgets, resources and risks while maintaining strong client relationships and high-quality outcomes.
  • Drawing on your knowledge and experience, you’ll create innovative insights which will add value to both our clients and to the broader society.
  • Champion operational efficiency improvements on projects and internal initiatives and will consistently drive projects to completion, and ensure the work is of high quality.

Internal Responsibilities

  • Understand all our consulting service offerings and actively identify opportunities to better serve clients and be able to build meaningful external relationships with our clients and internal relationships across service lines.
  • Contribute to the development of the wider Data & AI team’s future by building our brand, attending relevant events, collaborating with other internal teams, and producing thought leadership.
  • Actively establish, maintain, and strengthen internal and external…
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