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- Tasks: Join a dynamic team to solve real-world problems using data and AI.
- Company: KPMG Ireland, a leading firm with a focus on innovation and collaboration.
- Benefits: Flexible benefits, enhanced family leave, and continuous learning opportunities.
- Why this job: Make an impact in a fast-paced environment while developing cutting-edge skills.
- Qualifications: 1-2 years of experience in analytics and AI; strong programming skills preferred.
- Other info: Inclusive culture with frequent career advancement opportunities.
The predicted salary is between 28800 - 48000 £ per year.
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 next Data Scientist at Consultant level to join our Belfast Centre of Excellence? You 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
- 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 (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, 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 through.
- Social 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.
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.
Data Scientist Consultant in Belfast employer: KPMG International Limited
Contact Detail:
KPMG International Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist Consultant in Belfast
✨Tip Number 1
Network like a pro! Reach out to current KPMG employees on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about your experience with data wrangling, machine learning, and any tools mentioned in the job description.
✨Tip Number 3
Show off your problem-solving mindset! During interviews, share specific examples of how you've tackled complex data challenges in the past. This will demonstrate your ability to deliver results.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the KPMG team.
We think you need these skills to ace Data Scientist Consultant in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Scientist Consultant role. Highlight your experience with analytics, AI solutions, and any relevant programming languages to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this role at KPMG. Share specific examples of how you've tackled complex data problems and how you can contribute to our team.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—demonstrate how you've used them to solve real-world problems. We love seeing candidates who can translate technical insights into actionable outcomes!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at KPMG International Limited
✨Know Your Data
Before the interview, brush up on your data wrangling and transformation skills. Be ready to discuss specific projects where you've applied analytics and AI techniques. This will show that you can translate complex business problems into actionable insights.
✨Showcase Your Programming Skills
Make sure to highlight your programming experience, especially with languages like Python or R. Prepare examples of how you've used these skills in real-world scenarios, as this will demonstrate your ability to quickly learn new technologies and contribute effectively.
✨Understand the Business Context
Familiarise yourself with KPMG's approach to analytics and AI solutions. Be prepared to discuss how your work can align with their goals and how you can add value to their clients. This shows that you're not just a techie but also understand the bigger picture.
✨Emphasise Team Collaboration
Since you'll be working in multi-disciplinary teams, share experiences where you've successfully collaborated with others. Highlight your problem-solving mindset and how you’ve mentored colleagues, as this reflects your commitment to team success and continuous learning.
