Data Science Leader

Job Description

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• We are seeking a seasoned professional to lead our Data & AI practice. As a key member of the team, you will be responsible for developing and implementing cutting-edge data science solutions that drive business growth.

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Required Skills and Qualifications

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• A minimum of 7 years' experience in delivering scalable Analytics and AI solutions in large, complex organisations.

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• 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.

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• 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.

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• 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.

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• 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.

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• Exceptional networking and relationship-building skills, with a track record of engaging C-suite stakeholders and key decision-makers to deliver impactful outcomes.

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• Proven leadership experience, managing and mentoring diverse data science and technology teams, fostering innovation, and building high-performing, inclusive teams.

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• 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.

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• Mastery of Data & AI delivery methodologies, including Agile, Crisp-DM, MLOps, DataOps, and design thinking, with experience in iterative, human-centered solution development.

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• 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.

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• 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.

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• 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.

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• Strong knowledge of regulatory and ethical considerations, including compliance with EU AI Act, GDPR, CSRD, and other global AI and data privacy standards.

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• 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.

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• 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.

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• 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.

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• 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.

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Benefits

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• A tailored benefits package, including discounted health insurance, the option to purchase additional annual leave, and access to frequent social events to build your network.

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• Flexible work-life balance, with early finish Fridays on bank holiday weekends and throughout the summer months.

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• Continuous learning, with complimentary access to a range of Learning & Development programmes, including LinkedIn Learning, and support from our award-winning Business School.

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• Frequent career progression opportunities, with promotions announced four times per year—unique among the Big Four.

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• An inclusive culture, where diversity, equity, and inclusion are at the heart of everything we do.

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Others

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• This is an exciting opportunity to shape the future of data and AI, working alongside a talented team of professionals who share your passion for innovation and excellence.

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• We offer a dynamic and supportive environment that encourages collaboration, creativity, and continuous learning.

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• Join us and be part of a journey that will take you to the forefront of data and AI, driving business growth and transforming industries.

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