A data-driven company operating in the building energy efficiency sector, founded in 2023. The company helps hotels and other energy-intensive businesses reduce energy consumption by 10–20% using data collection, smart analytics, and digital twins.
Their platform integrates with building systems to detect inefficiencies — such as pool pumps running unnecessarily or mismatches between HVAC operation and occupancy — helping clients reduce costs by up to 30% and lower emissions.
They also support carbon footprint tracking (Scope 1, 2, 3), ensure compliance with sustainability standards (CSRD, ESG, B Corp, Green Key), and enable automated reporting.
You are offered a remote position based in Cyprus.
Your tasks:
- Develop ML models to detect energy inefficiencies from smart meter data
- Forecast energy consumption and optimize HVAC system performance
- Build internal analytics workflows and scalable data pipelines
- Collaborate with domain experts to turn insights into real-world actions
- Explore and implement advanced ML/DL methods to drive innovation
Requirements
- 4+ years of experience in Data Science, ideally in energy, IoT, or smart buildings
- Strong skills in Python, SQL, and time-series modeling (e.g., ARIMA, LSTM, Prophet)
- Experience with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch)
- Familiarity with large datasets, cloud environments (e.g., GCP), and model deployment
- Excellent communication and data visualization skills
- Master’s or Ph.D. in a quantitative field (e.g., Math, Statistics, Computer Science)
- English C1+
Benefits
- Competitive salary from your competencies
- Full-time remote position with occasional travel
- Official employment in Cyprus, fully compliant with local labor laws
- The role includes paid vacation and sick leave, aligned with standard practices for full-time positions
- Stable, fast-growing company with a flat organizational structure