Data Science and Analytics Manager

Centrica plc; Dublin; Hybrid; EUR 110,000 - 140,000; Full time

Job summary

Bord Gáis Energy is seeking a Data Science & Analytics Manager to lead a team of data scientists and analytics specialists within its Data CoE. The role involves shaping strategy, delivering diagnostics and prescriptive analytics, and translating business priorities into high-quality models and actionable insight.

The position is hybrid with 2 days per week at the Warrington Place office, reporting to the Head of the Data CoE, and focuses on measurable business outcomes and stakeholder

Qualifications

• Extensive experience in senior data science or analytics leadership.
• Proven ability to balance urgent business needs with scalable, governed capability.
• Experience with Databricks, Python, SQL and large cloud data environments.
• Experience across the ML lifecycle; generative AI or NLP is advantageous.
• Knowledge of billing, CRM, digital data; Oracle CC&B and Salesforce experience is relevant.
• Ability to work cross-functionally to deliver end-to-end solutions.
• Strong leadership, mentoring and communication for senior management.
• Working knowledge of GDPR and privacy, governance and risk.

Responsibilities

• Shape and articulate data science strategy with the Head of the Data CoE.
• Build trusted stakeholder relationships and transparent demand processes.
• Lead design, testing, productionisation of automated analytics products.
• Develop governed datasets and scalable cloud analytics with cross-teams.
• Ensure models are accurate, explainable, monitored and maintained.
• Maintain knowledge of business units and hand-off to value realisation.
• Anticipate needs, lead complex analysis with clear findings and actions.
• Promote responsible use of data and AI within governance and privacy.
• Retire manual processes where automation adds value.
• Lead, coach and develop the team with clear objectives and mentoring.

Skills

People leadership

Stakeholder management

Analytical delivery

Data governance

Privacy & GDPR

Cross-functional collaboration

Communication to senior mgmt

Education

Postgraduate qualification in data science or related field

Tools

Databricks

Python

SQL

Azure

Oracle Database

Power BI

Power Platform

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, mathematics, computer science, economics or a related discipline.
• A clear, candid and constructive communicator who listens well, collaborates across functions and shares knowledge.
• An advocate for reproducibility, explainability, documentation, engineering discipline, data governance and responsible AI.
• Process-driven and pragmatic, balancing immediate delivery with sustainable capability and avoiding unnecessary bureaucracy.
• Creates an inclusive environment where people develop, challenge assumptions, solve problems creatively and remove delivery bottlenecks.

Why should you apply?

We’re not a perfect place – but we’re a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That’s why we’ve designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too. Visit the link below to discover why we’re a great place to work and what being part of more means for you.

If you're full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority.

Help us, help you. We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey.