Senior Consultant, Data Science & AI, Data & Analytics, Belfast, Derry/Londonderry

EY
Belfast
2 days ago
Create job alert

Applications processed via employer's online application form

EY is a global leader in Assurance, Tax, Consulting and SaT (Strategy and Transactions) ...

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.

Data Analytics & AI – Data Science – Senior Consultant

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity

We are currently looking for talented Senior Consultants who are seeking a challenge and who are highly competent within the Fabric Architect area, to join our team and build on continued success on a global scale.

Your key responsibilities

  • Collaboration: The ability to 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: The capability to analyse large and complex datasets to extract actionable insights. Your analytical skills will be key in identifying trends, patterns, and anomalies that can inform business strategies.
  • Data Pipeline Management: Be able to design, implement, and maintain data pipelines that are critical for model training and deployment. Your expertise will ensure the reliability and efficiency of our data infrastructure.
  • Communication: The skill to effectively communicate complex analytical findings and model results to stakeholders, translating data-driven insights into business language that informs decision-making.
  • Continuous Learning: The ability to stay informed of the latest advancements in data science, including techniques and tools, to ensure our team remains at the cutting edge of the field.

Skills and attributes for success

To qualify for the role;

  • Experience: 3 years of hands-on experience in building and deploying machine learning or deep learning models in real-world applications.
  • Technical Expertise: Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. Experience with R is a nice-to-have.
  • Foundational Knowledge: A strong foundation in statistics, mathematics, and programming is essential for success in this role.

The following will be an advantage;

  • Problem-Solving: Ability to translate business assumptions and rules into feature engineering and model explainability, addressing business problems with data-driven solutions.
  • Collaborative Development: Work under the guidance of senior data scientists and solution architects to build models that align with strategic visions and client needs.

What we look for

We’re 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’ll 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:You’ll develop the mindset and skills to navigate whatever comes next.
  • Success as defined by you:We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
  • Transformative leadership:We’ll give you the insights, coaching and confidence to be the leader the world needs.
  • 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. It’s 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& inclusivenesshere . We ask because it matters!

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.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Applications processed via employer's online application form


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Consultant, Data Engineer, AI&Data, UKI

Senior Consultant, Data Engineer, AI&Data, UKI

Senior Data Science & AI Consultant — Analytics Leader

Data Scientist Senior Consultant - Belfast

Data Engineer

Senior Data Analyst

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.