Hybrid Data Science & Analytics Leader

Centrica plc; Ireland; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Carers policy

Flexible working

Job summary

Bord Gáis Energy is hiring a Data Science & Analytics Manager to lead a team of data scientists and analytics specialists. You will translate business priorities into high-quality models, predictive and prescriptive analytics, and actionable insights to support customer, commercial and operational decisions.

Reporting to the Head of the Data CoE, you will drive governance, scalability and impact across BGE, partnering with data engineering, platform and governance teams while maintaining a focus

Qualifications

• Extensive experience in senior data science or analytics leadership.
• Proven ability to balance urgent needs with scalable, governed capability.
• Experience with cloud analytics platforms, Python, SQL and large data environments.

Responsibilities

• Shape and articulate the data science and analytics strategy with the Head of the Data CoE.
• Lead development of automated analytical products and data-driven insights.
• Build trusted relationships with senior stakeholders and manage delivery priorities.
• Oversee data governance, quality, documentation and reproducibility of models.
• Coach and develop the team, promoting inclusive workforce planning and values.

Skills

Data science leadership

Advanced analytics

People leadership

Analytical delivery

Education

Postgraduate qualification in data science/related

Tools

Databricks

Python

SQL

Azure

Oracle

Power BI

Power Platform

Job description

Bord Gáis Energy is hiring a Data Science & Analytics Manager to lead a team of data scientists and analytics specialists. You will translate business priorities into high-quality models, predictive and prescriptive analytics, and actionable insights to support customer, commercial and operational decisions.

Reporting to the Head of the Data CoE, you will drive governance, scalability and impact across BGE, partnering with data engineering, platform and governance teams while maintaining a focus