Your Profile
Mandatory Requirements
5+ years experience in a quantitative Data Science role, preferably in the energy sector, a leading tech firm or start-up
Expert in Python
You hold a degree in mathematics, statistics, informatics, computer science or a similar field
You have developed creative solutions to real-world problems that made it to production
You have experience with building machine learning solutions and implemented them in an operative application environment
Excellent English communication and interpersonal skills
You enjoy solving problems and sparring ideas in a cross-functional team with firmware engineers, software engineers, and product managers
Skills to Set You Apart
Experience with optimisation problems
Experience working with AWS
Experience with putting complex algorithms into production
Work experience in the energy industry
At Flexa, we are committed to diversity - of backgrounds and experiences. You don’t need 100% of the preferred qualifications to add incredible value to our team. If you’re passionate about what you could accomplish here, we’d love to hear from you.
About us
Flexa, a Joint Venture between Enpal and Entrix, is chartered with delivering a Virtual Power Plant (VPP) delivering exceptional energy cost savings while supporting the transition to a 100% renewable electricity future.
The combination of delivering complete residential energy systems at great cost with savvy market participation in several revenue streams sets us up to deliver real world customer savings while improving customer satisfaction enjoying the advantages of a fully electrified and energy producing home.
Through a deep integration into the installed hardware and a direct connection to the customer interfaces, Flexa’s solution controls the energy assets (such as EV, heat pump, home storage and others) of the entire Enpal energy community with an exceptional level of accuracy, speed, transparency, and thus customer satisfaction. With intelligent real-time dispatching algorithms, Flexa maximizes Enpal customers’ usable flexibility and its returns on energy markets including costs, such as grid fees, asset degradation.