This is an opportunity for a passionate and skilled data scientist or data engineer to help shape the future of energy usage through the development of advanced AI solutions. If you believe you could be that person we believe we can do great things together!
You will lead the AI development at Eliq and be responsible for developing and improving machine learning algorithms that will help to engage user and save energy in new innovative ways.
We are currently working with real time smart monitors, consumption predictions, improved messages and energy disaggregation of devices. You will also be expected to help develop the team by supporting recruiting and our interactions with partner organisations and academic institutions.
Are you a person who wants to radically improve the way we use energy, just as the rest of us at Eliq? Do you want to be a part of shaping a sustainable energy future? We would like your application as soon as possible, as we are interviewing continuously.
Eliq provides a SaaS-based solution for monitoring and optimising electricity use, allowing energy utilities to gain a better understanding of their customers’ energy usage patterns.
The white label energy engagement App engages with utility customer by tracking their energy usage and generation based on data from electricity meters and Internet of Things (IoT) devices (e.g. sensors). The App collates meter readings, tariffs and customer billing information from the utility company, with weather and smart home data from 3rd party integrations.
In 2017 Eliq redefines the gold standard for energy monitoring products, by winning the international award for Best Energy Monitoring Solution.