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Head of Data Science and Innovation
2 months ago
Yottar is a pioneering startup dedicated to harnessing the power of machine learning to accelerate the transition to net-zero electricity. Our mission is to address the most strategic uses of machine learning to drive this transition.
We are focused on a critical bottleneck to the transition to net-zero electricity: helping clean energy asset developers understand how and where they can connect to the electricity networks. Our approach is to develop and deploy innovative solutions rapidly, build iteratively, and engage closely with prospective users to ensure our solutions meet their needs.
About Our MissionYottar is building a digital twin of electricity grids and applying machine learning to optimize the siting and design of energy assets. Grid congestion has emerged as the single biggest bottleneck to the development of zero-emission energy systems, and all energy asset developers are struggling to get grid connections that don't require expensive upgrades, resulting in lengthy project delays.
However, the challenge is not uniform geographically, as the potential to connect to the electricity network varies according to the capacity of local grid infrastructure to deal with new connections. Our platform will provide optimized recommendations for energy asset developers on where they should site and how they should design assets according to what is possible on the grid.
About the RoleYou will join a foundational team focused on rapidly building and scaling Yottar. As the Head of Data Science and Innovation, you will play a leading role in building and shaping the platform and team. You will report directly to the CEO.
Key Responsibilities:- Deliver core elements of the Yottar platform, including automated forecasts of load, generation, and headroom at different geographical locations.
- Build automated estimates of grid upgrade costs and timelines.
- Develop systems that create automated curtailment forecasts.
- Support the development of robust data pipelines.
- Develop additional elements of the platform as required in response to user feedback.
- Recruit, manage, and lead an elite team of data scientists.
We are looking for someone who wants to take ownership of delivering core data elements of the Yottar platform. This person will have the technical skills required to build the initial versions of our core data offerings, the ability to recruit, lead, and manage an elite group of data scientists, and the product instincts required to make the product a success.
Qualifications and Skills:- Possess a passion for using your skills to accelerate the transition to net-zero.
- Have 4+ years of professional experience as a data scientist, with some experience in the energy sector (experience working on electricity networks is ideal but not required).
- Exhibit a start-up mindset: be relentlessly resourceful, solutions-oriented, keen to move quickly, and willing to adapt to changing organizational needs.
- Hold a degree in computer science or a similar technical subject.
- Display excellent verbal and written communication skills.
- Exhibit exceptional organizational skills with attention to detail, a sense of urgency, and a drive to get things done.
Yottar is a values-led company. We hold the following values as being especially important in delivering our mission:
- Impact and Speed: We are in a climate crisis. We need to be highly focused on work that can have the most impact. This means thinking big, being focused, and shipping rapidly.
- Think Differently: We need to innovate in order to accelerate the transition to net-zero. We need to be continuously seeking new and better ways of doing things.
- Obsessive User Focus: Impact comes from listening carefully to those experiencing the challenges we are seeking to address, and rapidly building solutions to help them.
- Kindness: How we do things intrinsically impacts the outcome of our work. We seek to create an internal culture and external reach based on collaboration, inclusivity, and kindness.
- 25 days of paid time off, plus UK bank holidays.
- Paid maternity, paternity, adoption, or shared parental leave.
- Personal learning budget of up to £500 a year, plus further role-specific training budget.
- 5% pension matching.
- Share options: We offer attractive share options to our employees.
