Data Scientist, CIO

 
Vacancy Number:  27091
Category:  IT - Data & Analytics
Job Type:  Full-time
 

 

Position Description

At ESB, data sits in the centre of our business, providing insights to support better business decisions. The Data and Analytics team is an award-winning group of highly motivated and skilled professionals, working to support data-informed decision-making right across the ESB organisation. We work in a collaborative, agile way, interpreting data sets from our financial, operational, network and customer systems.  If you are passionate about data and want to be part of ESB’s Net Zero strategy, leading the transition to reliable, affordable, low carbon energy, we’d love you to hear from you.

 

As a Data Scientist at ESB, you will be at the forefront of creating cutting-edge AI and Machine Learning solutions, working to achieve maximum value for our businesses and customers across all of our investments in systems and technologies.

 

The Data Science Team are responsible for delivering business insight through interpretation of large data sets from our financial, operational, network and customer systems. You will work closely with data engineers, data analysts and product owners to solve business challenges, prioritising, scoping and managing a broad range of data science projects.

 

This role will involve the building of Data, AI, and Machine Learning products, including, LLM and GenAI products. 

 

Key Responsibilities

  • Deliver and manage data science solutions from inception, through Proof of Concept and into production, using a range of tools and methods.
  • Work alongside other data scientists and analysts to utilise your understanding of ML techniques to inform infrastructure choices, considering model types, data selection, hyperparameter tuning, and validation.
  • Collaborating with engineering teams to continuously develop, maintain and strengthen our machine learning pipelines.
  • Make business recommendations based on the data that drives better business decisions.
  • Work alongside business stakeholders as a key point of contact to proactively identify and resolve potential challenges and opportunities.
  • Prioritise, scope and manage data science projects and the corresponding key performance indicators (KPIs) for success 
  • Stays abreast of internal and external developments to identify & implement best practice methodologies to deliver against current and future ESB analytics requirements.

 

Experience and Qualifications

Essential

  • 3–5 years of technical or business experience applying AI to deliver customer value and generate new revenue
  • A master’s or third level qualification in Computer Science / Statistics / Maths or Data Analytics or equivalent work experience is essential
  • Strong Programming skills in Python or other analytical language
  • Excellent capability in SQL to extract data from databases
  • Ability to communicate proposed solutions, requirements and design effectively to our customers and partners.
  • Experience solving analytical problems using quantitative approaches.
  • Strong passion for empirical research and for answering hard questions with data.

Desirable

  • Having domain knowledge in Customer or Engineering fields.
  • An external focus and ability to seek ways that ESB can continue to adapt and improve its Data Science practice.
  • Proficiency with Azure DevOps
  • Production experience training and evaluating ML models with proper pipelines and metrics
  • Agile development methodologies (Scrum, Kanban)
  • Above all, you must be innovative in your approach and be able to demonstrate your ability to actively contribute to a team that delivers results.

 

Location 

This position will be based in Head Office, 27 Lower Fitzwilliam Street, Dublin 2.

 

ESB is committed to smart working – combining digital tools with a culture of trust and empowerment to enable flexible ways of working. The successful candidate may work flexibly within their jurisdiction with attendance at the workplace for in-person collaboration on at least one anchor day per week. All smart working arrangements are subject to manager approval and ongoing review, based on the operational requirements of the role, the team, and the individual.

 

Reporting To

The successful candidate will report to Data Science Manager, CIO.

 

Why Work with Us?

  • Opportunity to lead Ireland’s transition to net zero carbon future
  • Career development through mentoring and training 
  • Corporate Social Responsibility Opportunities
  • Sports and Social Clubs
  • Networking opportunities
  • Credit Union
  • Generous Pension
  • Access to staff well-being programmes
  • Generous parental leave entitlements
  • Strong values-based and inclusive culture
  • Strong commitment to diversity, equity and inclusion
  • Great team environment working to our Core Values: Courageous, Caring, Driven and Trusted

 

Salary

€57,900 - €68,100


Closing Date

13th August 2025

 

Your application will be held in reserve for 6 months should you be suitable for the role.

 

 

Diversity, Equity and Inclusion Statement

ESB is committed to being an equal opportunities employer. We welcome applications from all sections of society and ensure that no one is discriminated against on the grounds of race, religion or belief, ethnicity or nationality, disability, age, citizenship, marital status, domestic or civil partnership status, sexual orientation or gender identity, or any other basis as protected by law. 

Applicants who anticipate requiring assistance or reasonable accommodations for any part of the application or interview process may contact, in confidence, recruitment@esb.ie.  

About ESB

Join us in our mission to achieve a net-zero electricity system by 2040. ESB is Ireland’s leading energy utility, with activities spanning electricity generation, transmission and distribution, energy supply, energy services and international consultancy. Operating in Ireland, Northern Ireland and Great Britain, we invest over €1 billion each year to deliver a new energy future based on reliable, affordable zero-carbon electricity.