Data Science and Analytics Manager

Home - Services British Gas Services; Dublin; Hybrid; EUR 100,000 - 140,000; Full time

Job summary

Bord Gáis Energy in Ireland is seeking a Data Science & Analytics Manager to lead data scientists and analytics specialists. You will translate business priorities into analytical products, drive governance, and shape the data strategy for the Data CoE to deliver actionable insight.

Reporting to the Head of the Data CoE, you will build scalable, cloud-based analytics, manage stakeholder relationships, mentor the team and promote responsible AI across the organization.

Qualifications

• Senior data science or analytics lead with people management.
• Proven ability to deliver automated, governed analytics.
• Experience with Databricks, Python, SQL and Power BI.
• Familiarity with GDPR, privacy and governance.

Responsibilities

• Shape and articulate data science strategy with the Head of the Data CoE.
• Lead design, testing, deployment and lifecycle management of analytical products.
• Develop reusable, governed datasets with cross-functional teams.
• Ensure models are accurate, explainable, and monitored.
• Maintain knowledge of customer operations and value opportunities.
• Lead and develop the analytics team.
• Promote responsible use of AI and privacy compliance.

Skills

People leadership

Stakeholder engagement

Communication skills

Prioritisation

Education

Postgraduate qualification in data science or statistics

Tools

Databricks

Python

SQL

Power BI

Power Platform

Azure

Job description

Join us, be part of more.

We're so much more than an energy company. We're a family of brands revolutionising how we power the planet. We're energisers. One team of 21,000 colleagues that's energising a greener, fairer future by creating an energy system that doesn't rely on fossil fuels whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion, and more potential. That's why working here is #MoreThanACareer. We do energy differently - we do it all. We make it, store it, move it, sell it, and mend it.

About your team:

We're the pride of Ireland. Bord Gáis Energy have been powering the nation's homes and businesses for almost 40 years. But now, we're so much more than just gas and electric. Through our unique combination of household heroes and energy assets, we're at the heart of the energy transition in Ireland, strengthening the country's energy security and helping customers get ready for a net zero future.

Data Science and Analytics Manager

Location: Hybrid, 2 days per week at our office in Warrington Place

Permanent

Bord Gáis Energy (BGE) is transforming how data is governed and used to support customer, commercial and operational decisions. Reporting to the Head of the Data Centre of Excellence (Data CoE), the Data Science & Analytics Manager will lead data scientists, analytics specialists and developing talent. The role is accountable for delivering and sustaining diagnostic, predictive and prescriptive analytics across BGE, translating business priorities into high-quality models, analytical products and actionable insight.

Key Responsibilities:

• Shape and articulate BGE's data science and analytics strategy with the Head of the Data CoE, linking priorities to measurable business outcomes.
• Build trusted senior stakeholder relationships and maintain a transparent, value-led process for demand, prioritisation, delivery updates, risks and dependencies.
• Lead the design, testing, productionisation and lifecycle management of automated analytical products, including 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 colleagues, maximising reuse and reducing duplication.
• Ensure models are accurate, explainable, reproducible, documented, monitored and maintained through effective peer review, validation, controls and performance measures.
• Maintain strong knowledge of BGE's Customer Operations, Services and EMD businesses, focusing analytical effort on the highest-value opportunities and ensuring clear hand-offs into implementation and value realisation.
• Anticipate emerging needs, lead complex analysis and provide stakeholders with clear findings, limitations and recommended actions.
• Promote responsible use of data, machine learning and generative AI in line with governance, privacy, security, ethical AI and model-risk requirements.
• Retire manual, duplicated or low-value processes where controlled automation is available.
• Lead, coach and develop the team through clear objectives, feedback, mentoring and inclusive workforce planning, demonstrating BGE's values.

The Ideal Candidate:

• Extensive experience in senior data science, advanced analytics or a related role, including people leadership or significant analytical delivery.
• Proven ability to balance urgent business needs with scalable, automated and well-governed capability, supported by 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 the Microsoft Power Platform.
• Experience across the machine-learning lifecycle, including version control, testing, deployment, monitoring and documentation; generative AI, natural language processing or contact analytics experience is advantageous.
• Knowledge of billing, CRM, digital, customer-contact and operational data; Oracle CC&B and Salesforce experience is particularly relevant.
• Ability to work across KPI Reporting, Data Engineering, Data Governance, platform teams and the business to deliver end-to-end solutions.
• Strong people leadership, mentoring, prioritisation, negotiation and communication skills, including explaining complex concepts and recommendations to senior management.
• Working knowledge of data quality, GDPR, privacy, responsible AI and model governance, with the ability to partner effectively with Governance, Risk, Security and Legal.
• Experience of leading & managing teams
• Ability to deputise for the Head of the Data CoE when required; experience in energy, utilities or another regulated customer-focused sector is desirable.

Preferred Qualifications & Skills:

• A relevant postgraduate qualification, or equivalent practical experience, in data science, statistics, m