Join a fast-growing technology company providing award-winning solutions that help retailers and building owners optimise energy usage, automate operations, and reduce environmental impact. Their platform integrates IoT, telemetry, and AI to deliver predictive insights across multiple sites globally. Working here means applying data science to real-world challenges, improving system efficiency and reliability for high-profile clients.
What You’ll Be Doing
* Analyse diverse datasets from connected building assets, energy systems, and environmental sensors.
* Develop, test, and deploy advanced analytics frameworks and machine learning models.
* Translate R&D and exploratory analysis into production-ready algorithms and reusable components.
* Design experiments and predictive models to optimise energy consumption and building performance.
* Communicate insights clearly to technical and non-technical stakeholders.
* Collaborate with internal and client-facing teams to align data solutions with business needs.
* Stay up to date with emerging AI, machine learning, and energy technology trends.
* Contribute to internal best practices, documentation, and team knowledge sharing.
Ideal Background
* Strong analytical mindset and passion for deriving actionable insights from complex data.
* Proficient in Python or R (pandas, NumPy, scikit-learn, TensorFlow or equivalent) and SQL.
* Experience as a data scientist on client-facing software solutions, ideally in optimisation or energy-focused domains.
* Solid foundation in statistical analysis, machine learning (regression, classification, clustering, time series).
* Degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Engineering, or Physics.
* Cloud-based ML deployment experience.
* Version control experience (Git) and Agile collaboration.
* Exposure to IoT, smart buildings, or energy systems.
* Self-motivated, curious, and a strong communicator with a team-oriented mindset.
What You’ll Receive
* Opportunity to work with cutting-edge smart building and sustainability technology.
* Exposure to high-profile clients and impactful projects.
* Hybrid working across offices in Lisburn and Gloucester.
* Collaborative and innovation-driven culture.
Who Should Apply
This role is suited to data scientists passionate about AI, predictive analytics, energy optimisation, and smart building technology, eager to translate data into real-world operational impact.
Note
Exceptional candidates with relevant skills and experience, even if not meeting all listed requirements, are encouraged to apply.
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