Data Scientist Senior Consultant
Listed on 2025-11-20
-
IT/Tech
Data Analyst, AI Engineer, Data Scientist, Machine Learning/ ML Engineer
Basic Information
Location
:
Belfast
Business Area
:
Consulting
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:
Senior Consultant
Contract type:
Permanent
Are you our next Data
Scientist at Senior Consultant
level to join our Belfast Centre of Excellence?
Who You Are:
You have 3-4 years’ experience in delivering 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, Data Robot, 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 (e.g. 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, Git Hub 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…
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