Data Science and Analytics Manager (Energy)

Location: Hybrid in Dublin, Ireland, with 2 days per week at the Warrington Place office

Company

hirify.global and Bord Gáis Energy are supporting Ireland’s energy transition, energy security, customer services, and progress toward a net zero future.

What you will do

• Shape the data science and analytics strategy with the Head of the Data Centre of Excellence, linking priorities to measurable business outcomes.
• Lead the design, testing, productionisation, and lifecycle management of automated analytical products covering customer value, propensity, churn, segmentation, forecasting, contact analytics, and operational optimisation.
• Develop reusable governed datasets and scalable cloud-based analytics with data engineering, platform, reporting, and governance teams.
• Ensure models are accurate, explainable, reproducible, documented, monitored, and maintained through peer review, validation, controls, and performance measures.
• Translate complex analysis into clear findings, limitations, recommendations, implementation hand-offs, and value realisation.
• Lead, coach, and develop data science and analytics staff while promoting responsible data, machine learning, and generative AI use.

Requirements

• Extensive experience in senior data science, advanced analytics, or a related role, including people leadership or significant analytical delivery.
• Experience balancing urgent business needs with scalable, automated, well-governed capability, resilient delivery, quality assurance, and stakeholder engagement.
• Strong practical experience with Databricks or similar cloud analytics platforms, Python, SQL, large-scale Azure or Oracle data environments, Power BI, and Microsoft Power Platform.
• Experience across the machine-learning lifecycle, including version control, testing, deployment, monitoring, and documentation.
• Knowledge of billing, CRM, digital, customer-contact, and operational data; Oracle CC&B and Salesforce experience is particularly relevant.
• Ability to deliver end-to-end solutions across KPI Reporting, Data Engineering, Data Governance, platform teams, and the business.
• Strong people leadership, mentoring, prioritisation, negotiation, and communication skills, including explaining complex concepts to senior management.
• Working knowledge of data quality, GDPR, privacy, responsible AI, and model governance, with the ability to partner with Governance, Risk, Security, and Legal.
• Experience leading and managing teams, with the ability to deputise for the Head of the Data CoE when required.

Nice to have

• Experience with generative AI, natural language processing, or contact analytics.
• Experience in energy, utilities, or another regulated customer-focused sector.
• Relevant postgraduate qualification or equivalent practical experience in data science, statistics, mathematics, computer science, economics, or a related discipline.
• Clear, candid, constructive communication; collaboration across functions; and knowledge sharing.
• Advocacy for reproducibility, explainability, documentation, engineering discipline, data governance, and responsible AI.
• Process-driven and pragmatic approach that balances immediate delivery with sustainable capability.

Culture & Benefits

• Permanent, full-time employment in a people-focused organisation supporting Ireland’s energy transition.
• Total rewards designed to provide flexibility and support employees and their families financially, physically, and emotionally.
• Inclusive environment focused on development, knowledge sharing, creative problem-solving, and removing delivery bottlenecks.
• Commitment to sustainability, employee growth, and meaningful work in the energy sector.