Data Scientist - Sustainability Technology Location: Hybrid (NI-based) - 1 day per week in office Are you passionate about harnessing data science to drive real-world sustainability impact? This is a rare opportunity to join a global technology leader working at the forefront of AI, IoT, energy optimisation, and smart building innovation. You'll help shape the next generation of sustainability software - developing intelligent systems that minimise energy waste, enhance asset reliability, and enable smarter automation for leading global brands. The Role As a Data Scientist, you'll play a pivotal role in designing and delivering advanced analytics solutions that power intelligent buildings and sustainable operations. Working with rich, real-time data from connected assets, energy systems, and environmental sources, you'll translate insights into measurable efficiency gains and performance improvements. You will: Perform statistical, predictive, and prescriptive analysis across complex datasets. Design and implement scalable, end-to-end data science workflows. Build and deploy ML models that optimise energy use and system performance. Develop production-grade algorithms from R&D and exploratory research. Collaborate with cross-functional teams to translate business needs into actionable, data-driven solutions. Communicate technical insights clearly to both technical and non-technical audiences. Stay ahead of the curve by exploring emerging AI and ML techniques. What You'll Bring Strong background in Python or R (e.g., Pandas, NumPy, Scikit-learn, TensorFlow). Skilled in SQL and statistical analysis. Proven experience applying data science in energy, optimisation, or IoT domains. Strong grasp of machine learning techniques such as regression, classification, clustering, and time series analysis. Degree in a quantitative discipline (Mathematics, Statistics, Computer Science, Engineering, or Physics). Desirable: MSc or PhD in a related field. Experience deploying ML models in cloud environments. Familiarity with Git, cloud data platforms, or Agile workflows. Knowledge of energy systems, smart buildings, or sustainability-driven technology. A collaborative, curious mindset with a passion for innovation and meaningful impact. Why Apply? Join a company that's driving real change through AI-powered sustainability and automation. Hybrid working model offering flexibility and autonomy. Competitive salary and long-term career progression. Opportunity to work with cutting-edge technology redefining how businesses manage energy and performance. Interested? Apply today or get in touch in confidence to explore how this opportunity aligns with your career ambitions. Skills: data science SQL Python