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Data Science Director

2 weeks ago

Dublin, Dublin City, Ireland beBeeDataScience Full time €120,000 - €200,000
**Job Description:**

As a Director of Data Science, you will be responsible for leading end-to-end data and AI programs, partnering with clients to frame, shape, and deliver transformative value through advanced analytics and AI solutions. Your primary goal is to identify and pitch new data and AI opportunities, crafting innovative proposals that leverage trends like Generative AI, real-time analytics, and AI-driven decision-making.

**Key Responsibilities:**
  • Lead end-to-end data and AI programs, collaborating with industry experts to develop market-leading data and AI services.
  • Identify and pitch new data and AI opportunities, leveraging your expertise in technical solution delivery, advisory and consulting experience, and ability to craft compelling pitches and proposals.
  • Partner with clients to deliver transformative value through advanced analytics and AI solutions, ensuring the responsible use of AI within KPMG's consulting practice.
  • Drive innovation, collaboration, and continuous learning among team members, fostering a culture of innovation, inclusivity, and excellence.
**Required Skills and Qualifications:**
  • Proven track record in delivering scalable analytics and AI solutions, with a focus on end-to-end delivery of advanced analytics and AI initiatives.
  • Hands-on expertise in technical solution delivery, from ideation to production-scale deployment, leveraging modern data platforms.
  • Strong advisory and consulting experience, translating complex business challenges into data-driven and AI-powered strategies.
  • Exceptional networking and relationship-building skills, with a track record of engaging C-suite stakeholders and key decision-makers.
  • Proven leadership experience, managing and mentoring diverse data science and technology teams.
  • Deep expertise across modern and legacy platforms, including cloud-native solutions, open-source frameworks, and integration with enterprise systems.
  • Mastery of data and AI delivery methodologies, including Agile, Crisp-DM, MLOps, DataOps, and design thinking.
  • Extensive experience in enterprise data management, including business intelligence, reporting, and advanced analytics techniques.
  • Deep hands-on expertise in machine learning algorithms, including Deep Learning, Reinforcement Learning, Federated Learning, and Generative AI.
  • Experience scaling AI systems, including designing and deploying MLOps pipelines and ensuring Responsible AI principles are embedded in solutions.
  • Strong knowledge of regulatory and ethical considerations, including compliance with 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.
  • Passion for innovation, with a proven ability to stay ahead of trends in AI and data science.
  • Active participation in the data and AI ecosystem, through contributions to industry forums, open-source communities, or thought leadership.
**Benefits:**
  • Tailored benefits package, including discounted health insurance and access to frequent social events.
  • 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.
  • Frequent career progression opportunities, with promotions announced four times per year.
  • Inclusive culture, where diversity, equity, and inclusion are at the heart of everything we do.

DataScienceDirector