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
3 days 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...

Data Science and AI Engineering 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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.