Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
Please apply if you are an innovative and ambitious individual who wants to help build an organisation that makes a positive global impact on society and the environment.
Invenia Labs is looking for a Data Scientist who will collaborate closely with our research team to explore and understand electricity grid-related data. We will rely on you to ask questions, connect the dots, and uncover interesting and surprising relationships between time series, geographic data, and other diverse and complex types of data. Much of this work will involve analysing data on past events to identify relationships and driving factors, and to then determine which features could be used to increase forecasting accuracy of future events.
From creating experiments and prototyping implementations, to testing and deploying promising ideas quickly and safely, our researchers work on real-world problems with a focus on understanding and improving the efficiency of electricity grids. They are also active in the wider research community by partnering with universities, publishing research papers, and attending conferences.
Role Description
Desirable Qualifications
Invenia Labs is a machine learning company that optimises the world's electrical grids. According to the Intergovernmental Panel on Climate Change (IPCC), electrical production is responsible for approximately 37% of all global emissions today with the demand expected to increase by 43% over the next 20 years.