At a Glance
- Tasks: Join a dynamic team to solve complex data challenges and deliver innovative AI solutions.
- Company: KPMG Ireland is a diverse community focused on meaningful work and career growth.
- Benefits: Enjoy flexible working, health insurance discounts, extra leave, and engaging social events.
- Why this job: Be part of a pioneering team in analytics and AI, with continuous learning and growth opportunities.
- Qualifications: 1-2 years experience in analytics, programming skills, and a problem-solving mindset are essential.
- Other info: KPMG values diversity and offers support for personal and professional development.
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?
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 (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. 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.
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Data Scientist Consultant employer: Avature
Contact Detail:
Avature Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist Consultant
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, R, and data visualisation platforms like Tableau. Having hands-on experience or projects showcasing these skills can set you apart during the interview process.
✨Tip Number 2
Network with current employees at KPMG Ireland, especially those in the Data Science team. Engaging with them on LinkedIn or attending relevant industry events can provide insights into the company culture and expectations, which can be invaluable during your application.
✨Tip Number 3
Prepare to discuss real-world examples of how you've applied analytics and AI solutions to solve complex problems. Being able to articulate your thought process and the impact of your work will demonstrate your problem-solving mindset and technical expertise.
✨Tip Number 4
Showcase your growth mindset by discussing any recent learning experiences or certifications related to data science or AI. This not only highlights your commitment to continuous improvement but also aligns with KPMG's emphasis on lifelong learning.
We think you need these skills to ace Data Scientist Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, analytics, and AI. Focus on specific projects or roles where you've worked with data wrangling, machine learning, or programming languages mentioned in the job description.
Craft a Compelling Cover Letter: Use your cover letter to express your enthusiasm for the role at KPMG Ireland. Mention how your skills align with their needs, particularly your problem-solving mindset and ability to work collaboratively in multi-disciplinary teams.
Showcase Technical Skills: In your application, clearly outline your technical skills and experiences with tools like Python, R, or cloud platforms. Provide examples of how you've applied these skills in real-world scenarios to solve complex problems.
Demonstrate Continuous Learning: Highlight any recent courses, certifications, or projects that showcase your commitment to continuous learning and staying updated with emerging technologies in data science and AI. This aligns well with KPMG's focus on growth and innovation.
How to prepare for a job interview at Avature
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific examples of how you've tackled complex data challenges in the past. Highlight your analytical thinking and how you translated business problems into actionable insights using data.
✨Demonstrate Technical Proficiency
Familiarise yourself with the tools and technologies mentioned in the job description, such as Python, R, or cloud platforms like Azure. Be ready to discuss your experience with these tools and how you've applied them in real-world scenarios.
✨Communicate Effectively
Practice explaining technical concepts in simple terms. KPMG values the ability to translate complex data insights into compelling narratives for clients, so be prepared to demonstrate this skill during your interview.
✨Emphasise Your Growth Mindset
KPMG is looking for candidates who are eager to learn and grow. Share examples of how you've pursued continuous learning in your career, whether through formal education, online courses, or self-study, and express your enthusiasm for further development.