Data Science & Analytics Manager — Strategy & Impact

Bord Gáis Energy Limited; Dublin; Hybrid; EUR 100,000 - 150,000; Full time

Job summary

Bord Gáis Energy Limited is recruiting a Data Science & Analytics Manager. Hybrid role with 2 days per week at the Dublin office, reporting to the Head of the Data CoE.

You will lead data scientists and analytics specialists to deliver diagnostic, predictive, and prescriptive analytics across BGE, aligning analytics with business priorities. The ideal candidate will drive scalable, governed data products, oversee the full ML lifecycle, and promote responsible AI within governance and privacy

Qualifications

• Extensive experience in senior data science or analytics leadership.
• Balance urgent business needs with scalable, automated capability.
• Strong stakeholder management and communication skills.

Responsibilities

• Shape and articulate data science strategy with the Head of the Data CoE.
• Build trusted senior stakeholder relationships and manage demand.
• Lead design, testing, and deployment of analytical products.
• Develop scalable, governed datasets with cross-functional teams.
• Ensure models are accurate, explainable, documented and monitored.
• Promote responsible AI and governance within the team.
• Lead and develop the team through coaching and mentoring.
• Maintain knowledge of business priorities across operations and CRM.

Skills

People leadership

Stakeholder engagement

Communication

Data governance

Model governance

Leadership experience

Education

Postgraduate qualification in data science or related field

Tools

Databricks

Python

SQL

Azure

Oracle

Power BI

Power Platform

Job description

Bord Gáis Energy Limited is recruiting a Data Science & Analytics Manager. Hybrid role with 2 days per week at the Dublin office, reporting to the Head of the Data CoE.

You will lead data scientists and analytics specialists to deliver diagnostic, predictive, and prescriptive analytics across BGE, aligning analytics with business priorities. The ideal candidate will drive scalable, governed data products, oversee the full ML lifecycle, and promote responsible AI within governance and privacy