Data Scientist Manager - #1777500

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.

Are you our next Data Scientist at Manager level to join our Belfast Centre of Excellence ?

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

Grade: Manager

Contract type: Permanent

Who You Are

You have 5+ 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, 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 have the opportunity to lead project teams or act as a performance manager, supporting, mentoring, and developing others while delivering impactful work together. 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 - https://kpmg.com/ie/en/home/about/inclusion-diversity-equity.html

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 [email protected] stating this and we will ensure that such information is not stored other than for the purposes of this application.