Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Manager, Data Science & AI - Data Science, Belfast, Derry / Londonderry

EY US
Belfast
1 day ago
Create job alert

Data Analytics & AI Data Science Manager


The opportunity

As part of our Data Analytics and AI team, the Data Scientist role is pivotal in enabling our clients to derive significant value from their information assets. Through collaboration and domain expertise, our team embeds innovative data analytics solutions into existing business areas, transforming data into strategic assets.


Your key responsibilities

  • Collaboration: Work closely with cross‑functional teams to develop, test, and deploy advanced machine learning models, ensuring alignment with business objectives and seamless integration into client operations.
  • Data Analysis: Analyse large and complex datasets to extract actionable insights and identify trends, patterns, and anomalies that inform business strategies.
  • Data Pipeline Management: Design, implement, and maintain data pipelines critical for model training and deployment, ensuring reliability and efficiency of the data infrastructure.
  • Communication: Effectively communicate complex analytical findings and model results to stakeholders, translating data‑driven insights into business language that informs decision‑making.
  • Continuous Learning: Stay informed of the latest advancements in data science—including techniques and tools—to keep the team at the cutting edge of the field.
  • Understanding of business drivers: Help articulate and quantify the value that data and AI can deliver within the organization.

Skills and attributes for success

  • Experience building and deploying machine learning or deep learning models in real‑world applications.
  • Completed degree (bachelor’s, master’s or PhD).
  • Excellent leadership and organisational skills with a track record of developing and leading high‑performing teams.
  • Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch; experience with R is a nice‑to‑have.
  • Strong foundation in statistics, mathematics, and programming.
  • Ability to translate business assumptions and rules into feature engineering and model explainability, addressing business problems with data‑driven solutions.
  • Collaborative development mindset, working under senior data scientists and solution architects to build models aligned with strategic visions and client needs.

What we look for

We are interested in candidates with a genuine creative vision and the confidence to make it happen. You can expect plenty of autonomy in this role, so you will also need the ability to take initiative and seek out opportunities to improve our current relationships and processes. If you’re serious about auditing and ready to take on some of our clients’ most complex issues, this role is for you.


What we offer

  • Continuous learning: Develop the mindset and skills to navigate whatever comes next.
  • Success as defined by you: We provide the tools and flexibility so you can make a meaningful impact your way.
  • Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above please contact us as soon as possible. The exceptional EY experience is yours to build. Apply now.


Please note; Prior to finalizing your application you will be asked to provide personal information across several dimensions of diversity and inclusiveness. The information you provide is kept entirely confidential and will not be used to evaluate your candidacy. We collect this data to help us analyse our recruitment process holistically and implement actions that promote diversity and inclusiveness. While optional, we encourage you to provide this information to hold us accountable towards our goal of building a better working world. Read more about our commitment to diversity & inclusiveness here.


EY exists to build a better working world by creating long‑term value for clients, people and society and building trust in the capital markets.


#J-18808-Ljbffr

Related Jobs

View all jobs

Manager, Data Science & AI - Data Science, Belfast, Derry/Londonderry

Manager, Data Science & AI - Data Science, Belfast, Derry/Londonderry

Independent Data Science & AI Leader: ML, Pipelines & Impact

Data Science and AI Engineering Manager...

Skin Data Science Manager

Data Science and AI Engineering Manager

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.