Senior Consultant - AI Analyst, Data & Analytics, Belfast

EY
Belfast
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Consultant - AI & Data, Financial Services, Data Platforms, Data Engineer, BCM, Edinburgh

Senior Consultant_ Data Analyst

Senior Consultant Data Analyst

Senior Consultant_ Data Analyst_ UK

Senior Consultant - Data Analyst

Senior Consultant - AI & Data, Financial Services, Data Platforms, Data Engineer, BCM, Edinburgh

Artificial Intelligence Analyst - Digital & Emerging Technologies - Technology Consulting - Belfast 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. We live in a data rich world and more & more of our personal and business interactions are being guided by the application of advanced analytics and artificial intelligence (AI). At EY, we are helping organisations transform, to continually improve the way they do business to enable them to be at the forefront of their market. We are doing this by defying the norm and giving them the tools and knowledge to become insight focussed and data enabled. The opportunity We are currently looking for talented Senior Consultants who are seeking a challenge and who are highly competent in developing and deploying AI solutions, to join our team and build on continued success on a global scale. Your key responsibilities AI solution design Designing, building, deploying and/or managing AI solutions using industry leading approaches across technologies such as Python, Git, SQL and other relevant technologies Engaging with clients at all levels across the organisation both business & technology functions Nurturing long-term trusted advisor relationships Training and managing junior staff and client staff, including quality assurance of client deliverables Sensitively responding to client requirements and providing subject matter expertise A pragmatic adaptable problem solver that embraces the challenge of defining innovative solutions to unique problems Dedicated, quick learner that continuously builds capability in own skill set and can master key technical, functional and professional skills. Proficient in: written and verbal communication, presentation, client service and technical writing skills, Interest in further developing and integrating operations with technology skills Comfortable researching client inquiries and emerging issues, including regulations, industry practices, and new technologies Key requirements As a minimum, a bachelor's degree in Engineering, Technology or related fields Minimum of 4 years of relevant experience in delivery of AI design, build, deployment or management Proficiency or certification in Microsoft Office tools, as well as relevant technologies such as Python, TensorFlow, Jupiter Notebook, Spark, Azure Cloud, Git, Docker and/or any other relevant technologies Strong analytical and problem-solving skills, with the ability to work on complex projects and deliver actionable insights Exceptional verbal and written communication skills, with the capability to articulate complex ideas clearly and persuasively Fluency in English is mandatory. Proficiency in additional languages is a plus What we look for: We're interested in passionate people with a strong vision, focus on building an innovative tech community, understand how to grow and lead in a large practice and work in the most complex of sectors, and a desire to stay on top of trends in the IT Advisory space. If you can work collaboratively to help businesses achieve their business outcomes, have a keen interest in Technology as well as intellectual curiosity and energy, then our Artificial Intelligence team could be exactly the right place for you. What we offer: We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, 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. 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 . 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. To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process click the Apply button below to Login/Register.

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.

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.

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.