National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist Consultant

KPMG Ireland
Belfast
2 weeks ago
Create job alert

When you join KPMG Ireland, you are joining a community of over 4,200 employees who collectively work together, both in person and virtually, to achieve their full potential.

We are known as an organisation who want you to come as you are and do work that truly matters. Joining KPMG Ireland is an opportunity to enhance your career, not only in the work that you enjoy doing, but equally through the global connections that you make, the lifelong learning that you can accomplish and the chance to make your mark.

Location: Belfast, as part of our hybrid working model.

Grade: Consultant

Contract type: Permanent

Are you our nextDataScientist at Consultantlevel to join our Belfast Centre of Excellence?

Who You Are:

Your have 1-2 years' experience in working on scalable Analytics and AI solutions in large, complex organisations, with a focus on end-to-end delivery of advanced analytics and AI initiatives.

You like to solve problems and data is your raw material. You architect and build solutions to issues by applying analytics and AI techniques to client data. You translate complex business problems into a roadmap of technical tasks, utilising a variety of tools, capabilities and technologies. You are comfortable working with data of all kinds, from structured data to free text, images and video. You have built a specialist skill set and continuously seek to learn and improve. Ideally, you bring strong programming skills and can rapidly learn new programming languages. You may come from a background in mathematics, statistics, analytics, computer science, engineering, or a related field, but we don't expect everyone to fit a single profile. We value diversity of thought and experience and offer development support for those who are keen to grow into the role. You can demonstrate a problem-solving mindset, taking responsibility for delivering an outcome. You want to be a specialist with cutting edge skills and desire to be always relevant. You can translate technical insights into compelling narratives for clients and stakeholders and are comfortable contributing to presentations and client-facing materials.

You enjoy working in multi-disciplinary teams, including data engineers, data scientists, AI specialists and business and process SMEs. You understand that delivery is a team sport and work collaboratively to achieve sustainable results, while learning from and mentoring your colleagues. You have a growth mindset and want to be part of a team that is innovative, yet confident in high quality delivery.

Preferred Technical Experience

We don't expect you to tick every box but if you're excited about the role and bring some of the skills below, we'd love to hear from you.
Experience working with data: wrangling, cleaning, and transforming datasets for analysis.
Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark.
Exposure to data visualisation platforms like Tableau or Power BI.
Understanding of machine learning concepts and algorithms ( classification, clustering, regression).
Interest in or experience with Natural Language Processing (NLP), Natural Language Generation (NLG), or Computer Vision.
Awareness of enterprise graph technologies or network analysis techniques.
Experience with cloud platforms like Microsoft Azure or Google Cloud Platform (GCP); familiarity with Databricks is a plus.
Comfort working in cloud-based or secure environments, with an interest in MLOps or model deployment.
Awareness and practice of responsible AI, data ethics, and governance frameworks.
Willingness to explore emerging technologies such as agentic AI, GitHub Copilot, Microsoft Copilot and Copilot Studio.


What you will be doing:

You will be working as part of a wider team, dedicated to using to extract actionable intelligence from data, to deliver on a client's strategy. You will liaise with internal and client SMEs to understand the data and technology landscape, propose and design analytics and AI solutions and deliver client outcomes. You will be building skills as you deliver, continuously learning, to deliver optimal outcomes. You will work with clients, build relationships and earn a trusted advisor brand. You will be conversant with the continuously changing data and technology landscape to stay at the forefront of your field. You will be part of the Go To Team for all things Analytics and AI. You will be responsible for client delivery in a typically fast paced environment.

What you can expect:

Building a pioneering innovation and delivery team in the data, analytics and AI space is a strategic objective of KPMG Ireland. You can expect support from the highest leadership in the company to grow and develop your skills to help lead the markets. You will be hands on, working across functions and industries, continuously learning and building your skills.

You will be expected to be consulted and participate in solving client issues.

Discover How KPMG Can Enrich Your Life Beyond Your Career

Benefits Tailored for You

At KPMG, we understand that life is multifaceted. That's why we offer a flexible benefits package designed to support your unique lifestyle. Our benefits include:

Discounted Health Insurance: Prioritise your well-being with our health insurance options.Additional Annual Leave: Purchase extra leave to spend more time with friends and family or to travel.Enhanced Family Leave: Enjoy more time with your family with our generous leave options.Emergency Childcare Cover: For times when your regular childcare plans fall throughSocial Events: Connect and network with colleagues through our engaging social events.Early Finish Fridays: Start your weekends early on bank holidays and during the summer.Relocation Assistance: Smooth your transition if you're moving to Ireland.Learning & Development: Access our extensive supports, including LinkedIn Learning, to grow your skills.We also offer a variety of flexible working options to help you balance your professional and personal life.

Career Progression with Continuous Support

From the moment you join KPMG, you'll receive dedicated support from your performance manager to enhance your skills. Our award-winning Business School provides continuous learning opportunities to deepen your expertise.

We stand out as the only Big Four firm to announce promotions four times a year, offering you frequent opportunities for career advancement.

Commitment to Inclusion & Diversity

Inclusion, diversity, and equity are at the heart of KPMG. We celebrate diverse backgrounds, experiences, and perspectives, and we're committed to fostering an inclusive and equitable environment at every level. Our goal is to attract and retain the best talent by building a culture where everyone can achieve their potential. Learn more about our commitment here -

Ready to Join Us?

If you meet most of the criteria, we encourage you to apply by submitting your CV. KPMG is an equal opportunities employer, welcoming applications from people of all backgrounds. We are happy to provide reasonable accommodations during the recruitment process if needed.

For any specific queries about the role, please contact Shauna Maguire.

For a glimpse into life at KPMG, follow #ExperienceKPMG on LinkedIn, Instagram, TikTok, and X.

Please note that agency assistance is not required for this position.

By clicking apply to this role your application will not only be considered for this position, but your details will be stored on our database and may be considered for similar future positions that may arise. This means that the personal data contained in your application and provided to KPMG as part of the application process may be retained by us for up to 18 months from the date of your application and you hereby agree to that. If you do not wish your details to be stored on our recruitment database, please email stating this and we will ensure that such information is not stored other than for the purposes of this application.

Related Jobs

View all jobs

Sr. Delivery Consultant - Data Scientist, AWS Professional Services Israel

Senior Consultant, Data Scientist - Financial Services

Senior Consultant, Data Scientist - Financial Services

Data Scientist

Senior Data Science Consultant

Senior Credit Risk Modeller- Data Scientist

National AI Awards 2025

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 to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.