Job description

Technology plays a leading role in enabling and delivering ESB’s strategy of achieving Net Zero emissions by 2040, but it’s our people who will make this Brighter Future a reality.

With over 800 people working across our IT Delivery and CIO functions, together we design, build and support a broad range of technologies and services to deliver on our mission to bring sustainable and competitive energy solutions to all customers. We achieve this by harnessing all our resources, investing in our people and working collaboratively together.

We are now looking for an energetic and enthusiastic IT Professional to join our Data Science Team.

The Role

At ESB, data sits in the centre of our business, providing insights to support better business decisions. We are looking for a Data Scienctist to join our growing data science team.

Working within ESB’s Data Science team, you will be part of a highly motivated and skilled team of data professionals 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.

If you are passionate about data science and want be part of ESBs Brighter future strategy, leading the transition to reliable, affordable, low carbon energy, we’d love you to hear from you.

The base location is F27, ESB Head Office, Dublin 2 (Smart Working suitable).

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

Key Responsibilities

Responsibilities will cover the items below:
  • Manage the delivery of 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 design and implement models and experiments from end to end, including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation.
  • Collaborating with engineering teams to continuously strengthen our machine learning pipelines.
  • Make business recommendations based on the data that drives better business decisions.
  • Collaborate with relevant business areas to identify new projects and opportunities, understand their requirements, agree success criteria and ensure delivery.
  • 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

Essential

Knowledge, Skills and Experience
  • 3 - 5 years of relevant technical or business experience leveraging data intelligence to deliver products and services that drive customer value and new revenue.
  • 2 - 4 years of experience using Data Science algorithms and methods to solve business problems using R or Python
  • 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.
  • Agile development methodologies (Scrum, Kanban)

Desirable
  • Some working experience in Modelling tools (SPSS, SAS).
  • 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

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.

Qualifications

Essential
  • A masters or third level qualification in Computer Science / Statistics / Maths or Data Analytics or equivalent work experience is essential

Location

Base Location: F27, ESB’s Head Office, Dublin 2 in line with ESBs Smart Working arrangements.

ESB is committed to offering flexibility in ways of working and we call that Smart Working – combining digital tools with a culture of trust and empowerment to enable flexible and remote ways of working.

The successful candidate may combine remote / smart working within the jurisdiction, with attendance at base for in-person collaboration, the frequency of which is agreed with the manager and subject to ongoing review.

ESB is one of the founding members of The Remote Alliance – a new initiative established by the social enterprise Grow Remote. Working with other like-minded members, we’ve committed to developing solutions that will ensure remote and hybrid working can become a sustainable part of our business.

The Remote Alliance - Grow Remote

Why Work with Us?
  • Opportunity to lead Ireland’s transition to net zero carbon future
  • Progressive, hybrid working model
  • 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
  • Comprehensive Diversity & Inclusion programme
  • Great team environment working to our Core Values: Courageous, Caring, Driven and Trusted

Salary

The salary range for this role is €55,000 - 65,000pa

Closing Date

Closing date for applications is the 1st February 2023

Note: Please advise if you require any assistance or accommodations should you be called to attend an interview.

If you have any queries in relation to this job, please contact recruitment@esb.ie

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

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