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Data Science and Analytics Manager

  • Hybrid
  • 6+ years

Salary

Not stated

Similar roles pay €55K - 75K a year · our estimate

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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.

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.

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.

Where you’d work

Hybrid, 1 to 2 days a week in the office

About the company

Company hidden

  • Industry: Climate

Offices in Dublin, Ireland, Ireland

Your chances

Still hiring, not crowded yet, and you'd be among the first.

  • 16 checks run
  • 6 good signs
  • 0 red flags

Still hiring?

11 checks

Actively hiring

In its favour3

  • Still on the company's own careers site, checked 1 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence
  • Applications close on Nov 19Slight evidence

How crowded?

5 checks

Low

In its favour3

  • In its Early Window: not on the big job boards yetStrong evidence
  • Asks for 40+ years: a narrow poolModerate evidence
  • Asks for NLP, which fewer than 1% of open roles doSlight evidence

Fits Me

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  • Your field
  • Level
  • Stack
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  • Must-haves
Details13 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • SQL
  • Azure
  • Databricks
  • Power BI
  • LLMs
  • NLP
Seniority
Lead
Type
Full-time
Industry
Climate
Specialty
Data Science
Region
Europe
Show 7 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Science
Seniority
Lead
Experience
40+ years
Tech stack
  • Python
  • SQL
  • Azure
  • Databricks
  • Power BI
  • LLMs
  • NLP

Location

Work model
Hybrid
Region
Europe
Offices
  • Dublin, Ireland
  • Ireland
Days in the office
1 to 2 days

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
Climate

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