Data Scientist

Data Scientist – Sustainability Technology

Location: Belfast, Northern Ireland, United Kingdom

Base Pay Range

£35,000.00 - £50,000.00 (based on skills and experience)

About the Role

You’ll help shape the future of sustainability software, developing intelligent systems that reduce energy waste, improve asset reliability, and drive smarter automation for major global brands.

Responsibilities

• Perform statistical and predictive analysis across diverse datasets.
• Design and implement scalable, end-to-end data science workflows.
• Build and deploy machine learning models that optimise energy and system performance.
• Develop production-ready algorithms from R&D and exploratory analysis.
• Collaborate with cross-functional teams to translate business needs into data-led solutions.
• Present technical insights clearly to both technical and non-technical stakeholders.
• Stay ahead of the curve by experimenting with emerging AI and ML techniques.

Qualifications

• Strong background in Python or R (e.g., Pandas, NumPy, Scikit-learn, TensorFlow).
• Skilled in SQL and statistical analysis.
• Proven experience in data science, ideally within energy, optimisation, or IoT-focused applications.
• Solid grasp of machine learning techniques such as regression, classification, clustering, and time series analysis.
• MSc or PhD in a related field.
• Experience deploying ML models in a cloud environment.
• Familiarity with Git, cloud data platforms, or Agile environments.
• Knowledge of energy systems, smart buildings, or sustainability-driven technology.
• A collaborative, curious mindset with a passion for innovation and impact.

Why Join Us

• Drive real change in AI-driven sustainability and automation.
• Hybrid working model with flexibility and autonomy.
• Competitive salary and excellent long-term progression.
• Work with cutting-edge technology that’s redefining how businesses manage energy and performance.

How to Apply

Apply today or reach out in confidence to discuss how this opportunity could align with your career goals.

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology and Strategy/Planning
• Industries: Technology, Information and Media, Data Infrastructure and Analytics