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For Companies At a Glance
- Tasks: Transform data into actionable insights and lead innovative projects.
- Company: Energia Group, a dynamic and community-focused organisation.
- Benefits: Up to 10% annual bonus, generous holiday allowance, and health care.
- Why this job: Join a team that values innovation and make a real impact with data.
- Qualifications: Degree in relevant field and experience in data science and analytics.
- Other info: Great career progression, mentoring, and a vibrant workplace culture.
The predicted salary is between 30000 - 50000 £ per year.
Contract: Permanent - Full Time
Working Hours: 37 hours - Monday to Friday
Location: Newforge Lane, Belfast
Our Rewards
- Up to 10% Annual Bonus
- Annual Cost of Living Review
- 25 Days Holiday per year + 11 stats and opportunity to buy more holidays
- Family Friendly Policies
- Enhanced Maternity and Paternity Pay
- Health Care
- Sick Pay
Your new opportunity
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 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 of 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 Need
- A 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.
Learning & Development
- Career Progression and Development - Almost 100% of our promotions are from within the organisation
- Wellbeing Fund - to be used towards anything that energises you from Gym membership to Reflexology
- Mentoring Scheme
- Virtual Gym Membership
- Social Opportunities
- Sports and Social Club
- Allyship@work
- Women's Network
- Green Team
- Volunteering days and more
87% of employees would recommend Energia Group to friends and family as a great place to work!
You will be joining a team where our company values of Trustworthy, Dynamic, Resourceful and Community Focused are at the heart of all our efforts. You will have a variety of development opportunities available including internal L&D courses, mentoring, external networking, year-round learning and support for professional subscriptions.
We also offer an annual Bonus of up to 10%, an award-winning wellbeing programme including a counselling service, sports and social clubs, a Wellbeing Fund to be used towards anything that energises you, generous holiday allowance with opportunity to buy more and Health Cash Plans.
Does Energy Move You? APPLY NOW!!!
NB: If you are successful in this role you will be required to carry out a Basic Access NI check. A criminal record will not necessarily be a bar to obtaining a position. Our Access NI Statement Policy and Recruitment of Ex-Offenders Policy will be provided upon request to HR.
Skills
- IT
- Data
- Data Analytics
Benefits
- Laptop
- Paid Holidays
- Parking
- Pension Fund
Data Scientist in Belfast employer: Energia
Contact Detail:
Energia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Belfast
✨Tip Number 1
Network like a pro! Reach out to current employees at Energia Group on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss SQL, Python, and data science techniques. Practice explaining complex concepts in simple terms – it shows you really know your stuff!
✨Tip Number 3
Show your passion for data! During interviews, share examples of how you've used data to drive business value. Whether it's a project from uni or a personal endeavour, let your enthusiasm shine through.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Energia Group family.
We think you need these skills to ace Data Scientist in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with SQL, Python, and any relevant data science techniques. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data science and innovation, and explain how you can contribute to our team. Let us know why you're excited about this opportunity at Energia Group.
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's a personal project or something from your previous job, we love seeing practical applications of your skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team!
How to prepare for a job interview at Energia
✨Know Your Data Science Stuff
Make sure you brush up on your technical skills, especially in SQL, Python, and Databricks. Be ready to discuss your experience with statistical modelling techniques and machine learning frameworks, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific problems you've solved in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how you defined problems, sourced data, and built models to deliver impactful results.
✨Familiarise Yourself with Power BI
Since reporting tools like Power BI are mentioned in the job description, it’s a good idea to have some examples ready of how you've used it to derive business insights. This will show that you can translate data into actionable strategies.
✨Emphasise Your Teamwork and Agile Experience
Energia Group values collaboration, so be prepared to discuss how you've worked in teams and adapted to agile methodologies. Share examples of how you’ve partnered with colleagues to achieve data-led change, showcasing your dynamic and resourceful nature.
