Senior Data Scientist

As a Data Scientist, you'll play a hands-on role in designing and deploying advanced analytics solutions that power intelligent buildings and sustainable operations. Working with rich datasets from connected assets, energy systems, and environmental inputs, your work will deliver measurable efficiencies and insights that matter.

You will:

• 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.

• 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.
• Degree in a quantitative discipline (Mathematics, Statistics, Computer Science, Engineering, Physics).

Desirable:

• 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.

• Join a company driving 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.