OverviewWhen 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.
RoleAre you our next Data Science practitioner? We are currently seeking to hire a Data Science practitioner at Associate Director level to join our Dublin Data & AI team. We are looking for professionals with deep data science expertise, coupled with strong industry experience and exceptional communication skills, who are dedicated to becoming thought leaders in their field and driving innovation in AI and data science.
Location: Dublin, as part of our hybrid working model.Grade: Associate DirectorContract type: Permanent
Key Qualifications and ExperienceWe ideally need you to have most of the following on your CV:7+ 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.Proven track record in leading large-scale data science projects across industries (e.g., finance, healthcare, retail) and functions, delivering measurable business outcomes through AI and analytics.Hands-on expertise in technical solution delivery, from ideation, value targeting, and prototyping to production-scale deployment, leveraging modern data platforms like Databricks, Snowflake, or Azure Synapse.Strong advisory and consulting experience, translating complex business challenges into data-driven and AI-powered strategies, with a focus on aligning solutions with organisational goals.Demonstrated ability to identify and secure new business opportunities in the data, analytics, and AI domain, including crafting compelling pitches and proposals that drive revenue growth.Exceptional networking and relationship-building skills, with a track record of engaging C-suite stakeholders and key decision-makers to deliver impactful outcomes.Proven leadership experience, managing and mentoring diverse data science and technology teams, fostering innovation, and building high-performing, inclusive teams.Deep expertise across modern and legacy platforms, including cloud-native solutions (e.g., AWS SageMaker, Google Vertex AI, Azure AI), open-source frameworks (e.g., TensorFlow, PyTorch), and integration with enterprise systems.Mastery of Data & AI delivery methodologies, including Agile, Crisp-DM, MLOps, DataOps, and design thinking, with experience in iterative, human-centered solution development.Extensive experience in enterprise data management, including business intelligence, reporting, and advanced analytics techniques such as exploratory data analysis, data mining, data wrangling, data visualisation, predictive modelling, causal inference, and optimisation.Deep hands-on expertise in machine learning algorithms such as Deep Learning, Reinforcement Learning, Federated Learning, and Generative AI (e.g., large language models, diffusion models); with applied experience in domains like Natural Language Processing (NLP) and AI for sustainability or others.Experience scaling AI systems, including designing and deploying MLOps pipelines (e.g., MLflow, Kubeflow) and ensuring Responsible AI principles (fairness, transparency, accountability) are embedded in solutions.Strong knowledge of regulatory and ethical considerations, including compliance with EU AI Act, GDPR, CSRD, and other global AI and data privacy standards.Exceptional communication skills, with the ability to facilitate problem-solving sessions and translate complex AI and data science concepts into actionable insights for non-technical audiences.Passion for innovation, with a proven ability to stay ahead of trends in AI and data science, such as automated machine learning (AutoML), synthetic data generation, AI-driven data orchestration, and quantum-inspired algorithms.Active participation in the Data & AI ecosystem, through contributions to industry forums, open-source communities, or thought leadership (e.g., publications, conferences) in Ireland or globally.Relevant certifications, such as AWS Certified Machine Learning, Azure AI Engineer, Google Professional Data Scientist, or DAMA CDMP, with additional certifications in AI ethics or MLOps being a plus.
Your ResponsibilitiesYour work will be dynamic and impactful. Below are some of your core responsibilities:Lead end-to-end Data & AI programs, partnering with clients to frame, shape, and deliver transformative value through advanced analytics and AI solutions.Identify and pitch new Data & AI opportunities, crafting innovative proposals that leverage trends like Generative AI, real-time analytics, and AI-driven decision-making.Collaborate with industry experts to develop market-leading Data & AI services, integrating emerging technologies such as edge AI, federated learning, and AI for ESG reporting.Inspire and lead technical teams, fostering a culture of innovation, collaboration, and continuous learning while building KPMG’s Data & AI capabilities.Drive the responsible use of AI within KPMG’s consulting practice, embedding ethical AI principles and ensuring compliance with global regulations.Lead and mentor junior team members, nurturing talent and fostering a diverse, inclusive team environment.
Your TeamKPMG offers a broad range of Data & AI services across a wide range of clients, globally. Our dedicated Data & AI practice works with clients to deliver services spanning data operating models, AI governance, data engineering, advanced analytics, Generative AI, and business domain expertise. Our team is at the forefront of leveraging modern data platforms and AI to transform industries, from financial services to healthcare, and we are committed to staying ahead of trends such as AI-driven sustainability, data mesh architectures, and quantum-inspired analytics.
BenefitsBenefits Tailored for YouAt 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 throughSocial 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 ProgressionCareer Progression with Continuous SupportFrom 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 & DiversityCommitment to Inclusion & DiversityInclusion, 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.Necessary arrangements can be made at interview stage to accommodate the needs of candidates with disabilities.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 careers@kpmg.ie stating this and we will ensure that such information is not stored other than for the purposes of this application.
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