Data Scientist Senior Consultant
Data Scientist Senior Consultant

Data Scientist Senior Consultant

Belfast Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a dynamic team to deliver innovative analytics and AI solutions for clients.
  • Company: KPMG Ireland is a leading firm focused on community, growth, and impactful work.
  • Benefits: Enjoy flexible working, health insurance discounts, extra leave, and engaging social events.
  • Why this job: Be part of a pioneering team, continuously learn, and make a real impact in the industry.
  • Qualifications: 3-4 years in analytics/AI, strong programming skills, and a problem-solving mindset required.
  • Other info: Diversity and inclusion are core values; we welcome applicants from all backgrounds.

The predicted salary is between 43200 - 72000 £ 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: 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

  • 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

  • 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 Senior Consultant employer: KPMG Ireland

KPMG Ireland is an exceptional employer that fosters a collaborative and inclusive work culture, where over 4,200 employees thrive in a hybrid environment in Belfast. With a strong commitment to employee growth, KPMG offers extensive learning opportunities, flexible benefits, and a unique chance to work on cutting-edge analytics and AI projects, ensuring that every team member can achieve their full potential while making a meaningful impact.
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Contact Detail:

KPMG Ireland Recruiting Team

careers@kpmg.ie

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist Senior Consultant

✨Tip Number 1

Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, R, and cloud platforms like Microsoft Azure. Having hands-on experience or projects showcasing your skills with these tools can set you apart during the interview process.

✨Tip Number 2

Prepare to discuss your problem-solving approach in detail. KPMG values a problem-solving mindset, so think of examples where you've successfully tackled complex data challenges and be ready to explain your thought process and the impact of your solutions.

✨Tip Number 3

Showcase your ability to work collaboratively in multi-disciplinary teams. Be prepared to share experiences where you've worked alongside data engineers, AI specialists, or business stakeholders, highlighting how you contributed to achieving common goals.

✨Tip Number 4

Demonstrate your commitment to continuous learning and staying updated with emerging technologies. Mention any recent courses, certifications, or personal projects that reflect your growth mindset and eagerness to adapt to the evolving data landscape.

We think you need these skills to ace Data Scientist Senior Consultant

Data Wrangling
Data Cleaning
Data Transformation
Advanced Analytics
Artificial Intelligence Solutions
Machine Learning Algorithms
Natural Language Processing (NLP)
Natural Language Generation (NLG)
Computer Vision
Data Visualisation (Tableau, Power BI)
Programming Skills (Python, R, Scala, Java)
Cloud Platforms (Microsoft Azure, Google Cloud Platform)
MLOps
Responsible AI Practices
Data Ethics and Governance
Collaboration in Multi-Disciplinary Teams
Problem-Solving Mindset
Client Relationship Management
Presentation Skills
Adaptability to Emerging Technologies

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data science, analytics, and AI solutions. Use keywords from the job description to demonstrate that you meet the specific requirements of the Data Scientist Senior Consultant role.

Craft a Compelling Cover Letter: Write a cover letter that showcases your problem-solving mindset and ability to work collaboratively in multi-disciplinary teams. Mention specific projects or experiences that align with KPMG's focus on delivering client outcomes through innovative analytics and AI solutions.

Showcase Technical Skills: In your application, emphasise your technical skills, particularly in programming languages and tools mentioned in the job description, such as Python, R, and data visualisation platforms. Provide examples of how you've applied these skills in previous roles.

Demonstrate Continuous Learning: Highlight your commitment to continuous learning and professional development. Mention any relevant courses, certifications, or self-directed learning you've undertaken, especially in emerging technologies and responsible AI practices.

How to prepare for a job interview at KPMG Ireland

✨Showcase Your Problem-Solving Skills

During the interview, be prepared to discuss specific examples of how you've tackled complex data problems in the past. Highlight your thought process and the analytics or AI techniques you employed to arrive at a solution.

✨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 used them in previous projects.

✨Communicate Effectively

Practice translating technical insights into clear narratives. You may be asked to explain complex concepts to non-technical stakeholders, so focus on how you can make your insights accessible and engaging.

✨Emphasise Team Collaboration

KPMG values teamwork, so be sure to share experiences where you've successfully collaborated with multi-disciplinary teams. Discuss how you contributed to group efforts and what you learned from your colleagues.

Data Scientist Senior Consultant
KPMG Ireland
K
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