The VacancyWhat it’s like to work at Energia Group We’re proud that 87% of our employees would recommend us as a great place to work. It’s more than just a job—it’s a place where people genuinely enjoy belonging to a committed and supportive team.Our values—Trustworthy, Dynamic, Resourceful, and Community-Focused—aren’t just words, they guide how we work every day.We’re dedicated to helping you learn, grow and develop, offering learning opportunities, mentoring, and professional support to help you reach your goals.You’ll also enjoy some great benefits, like an annual bonus of up to 10%, our award-winning wellbeing programme, a ‘Wellbeing Fund’ you can spend on whatever recharges you, free counselling service, initiatives to reward long service, free health checks, annual flu jab, free on-site parking, life assurance, plus a generous holiday package with the option to add more days, health cash plans, and fun sports and social clubs.We also get the balance right with a hybrid work model, so you can stay connected while still having flexibility.The RoleEnergia Group have an exciting opportunity for a Data Scientist based in Belfast.Energia Group seeks to appoint an experienced Data Scientist to join our growing Group Data Office, reporting to the Head of Data & Analytics. You will work closely with your colleagues in our Group Data Office within Technology & Innovation (T&I), and with senior managers and teams across our businesses to identify, prioritise, plan, and execute on opportunities to derive business value from data. You will bring up-to-date technical knowledge in data science and a passion for innovation and change; our business teams will bring an understanding of transformational outcomes they wish to achieve and their priorities; together you will forge a successful partnership to deliver data-led change that will benefit for our business and customers.Your work will involve problem definition, problem solving, and effective working with colleagues. You will lead on problem structuring, data sourcing and transformation, model building and testing, model deployment to production, and post-production evaluation and updating. Your technical expertise will cover the full spectrum data science techniques (statistical models, Machine Learning, Artificial Intelligence), development principles and best practices, and key software tools. Some solutions may require descriptive analytics for business insights, so your knowledge of reporting tools Power BI will be useful.What you'll needA bachelor’s degree in computer science, data science, engineering, or related field.Extensive post-academic experience in Data Analytics, Data Science and/or Machine Learning; with a proficiency in SQL, Python and Databricks. Experience and knowledge of statistical modelling techniques such as GLM regression, logistic regression, log-linear regression, deep learning, Bayesian methods, bagging & boosting techniques, clustering, sampling, variable selection, feature engineering and extraction, developing ML (Machine Learning) pipelines in data factory - MLOps, A/B experimentation, Git, model monitoring and leader board maintenance with MLFlow, code exception handling, code modularisation and unit testing. Experience of AI/GenAI development frameworks, such as Azure AI Foundry.Experience working in an agile manner, constantly seeking the most efficient methods to deliver against business objectives.
If you are enthusiastic about this role but don’t meet every single requirement, we still encourage you to apply. Your past experiences might be the perfect match for this or other positions, making you the unique talent we’re looking for.NB; You are advised to submit your application as soon as possible as we reserve the right to close posts at any time, once we have received sufficient applications. We also reserve the right to enhance criteria to facilitate shortlistingFull details can be found in the job specification located at the bottom of this page.NB: IPhone users should download job specification using Safari.
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