Full-Time Senior Data Scientist
Job Description
Enoda was founded to revolutionise electricity distribution technology, with the ultimate goal of enabling communities to prosper on 100% renewable energy.
Energy is the primary input to everything we do. Our continued prosperity is dependent on reliable, affordable – and now clean – electricity. Balancing the ongoing tension between reliable, affordable, and clean electricity is what Enoda seek to achieve.
We are developing and commercialising our IP for an architecture of power management technologies, to deliver a new system-wide approach for the energy transition to net-zero carbon.
The role:
As a Senior Data Scientist, you will be a key member of Enoda’s technical leadership team. You will demonstrate leadership through your thoughts and actions and lead the application of probability, data-driven power system modelling and analysis, machine learning, and optimisation.
Key responsibilities:
- Complete sophisticated conceptual design based on functional and non-functional requirements and undertake scientific research and data acquisition to inform design pathway opportunities
- Use advanced mathematical technics such as feature selection, clustering, classification, regression to development of quantification, assessment, and management of delivery risk for the resources connected to distribution systems
- Make use of simulation tools to produce high fidelity dynamic models of energy systems, to aid design, forecast system and device behaviour, as well as economic value
- Work with the technical and design leadership to define optimal design solutions of electrical hardware, including but not limited to power electronics and control/communications
- Identify areas to improve user and stakeholder experience, contribute to designing resolution
- Act as a role model, mentor and guide team members and colleagues
Requirements
Essential Skills & Experience:
- Theoretical and practical knowledge of applied mathematics including principles, theories, concepts in clustering, classification, regression and other machine-learning techniques
- Predictive analytics in complex open systems directly comparable to energy
- The ability to communicate complex ideas and the relevance and significance of new knowledge
- Prior experience in engineering elegant solutions to target timescales
- Familiarity with the latest findings in time series forecasting, stochastic programming, as it would apply to energy systems
- MSc/PhD in Machine Learning/Data Science or equivalent Degree
- Proficiency in Python/MATLAB
Ideally, you will have a minimum of 5 years of experience within a related commercial field or equivalent academic career. Experience in the energy industry would be advantageous
We would love to speak with people who are open-minded and rational thinkers, able to demonstrate a strong sense of personal accountability and reliability from their previous roles.
Benefits
In addition to a market-leading salary, we offer the opportunity to support the development of our patent portfolio and relationships with commercial partners across Europe and North America.
We are a values-led business and alignment with, and defending our values is critical to successful long-term relationships with colleagues, commercial partners, and customers.
Our values are embedded in the way we do things and a core responsibility for each person to uphold in their role.
Next Steps:
Enoda is an equal opportunity employer and we actively encourage applicants from all protected characteristics. If you require any adjustments throughout the recruitment process, please feel free to contact: jurquhart@enodatech.com We welcome your application and the opportunity to discuss your skills and experience further.
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