Data Science Associate Director

Do you have a passion for creating transformative value with Data, Analytics, and AI?
Do you lead teams in solving complex, real-world problems at scale using cutting-edge data science techniques?
Are you ready to drive end-to-end data and AI journeys with modern, innovative platforms?
Are 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 Director
Contract type
:
Permanent
Key Qualifications and Experience
We 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 Responsibilities
Your 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 Team
KPMG 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.
Why KPMG?
At KPMG, we don't just invest in your career—we empower you to shape the future of data and AI.
Here's how we support you:
Tailored benefits package
, including discounted health insurance, the option to purchase additional annual leave, and access to frequent social events to build your network.
Flexible work-life balance
, with early finish Fridays on bank holiday weekends and throughout the summer months.
Continuous learning
, with complimentary access to a range of
Learning & Development programmes
, including LinkedIn Learning, and support from our award-winning Business School.
Frequent career progression opportunities
, with promotions announced four times per year—unique among the Big Four.
Inclusive culture
, where diversity, equity, and inclusion are at the heart of everything we do.
Learn more at .
Apply
If you are passionate about leading the future of data science and AI, please submit your CV via the apply button.
For specific queries, contact Shauna Maguire.
For an interactive insight into life at KPMG, follow #KPMGLife on LinkedIn, Instagram, TikTok, and Twitter.
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Please note we do not require Agency assistance for this role.
By clicking apply, your application will be considered for this position, and your details may be stored on our database for up to 18 months for consideration for similar future positions.
If you do not wish your details to be stored, please email ******, and we will ensure your information is not stored beyond this application.
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