3 of 3 Remote Statistical Analysis Jobs in Northern Ireland

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. … by experimenting with 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 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. More ❯

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. … by experimenting with 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 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. More ❯

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. … by experimenting with 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 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. More ❯