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Department: Technology
Employment Type: Full Time
Location: Edinburgh, Scotland
Compensation: £80,000 - £100,000 / year
Description
We have an exciting opportunity for an experienced Lead Data Scientist to join our business as we continue to scale.
The Lead Data Scientist will drive the development of predictive models and data-driven decision-making for energy technology applications. They will play a key role in analysing system performance, optimizing operations, and integrating machine learning techniques into energy balancing strategies.
Who We Are
Energy is the primary input to everything. Our continued prosperity is dependent on reliable, affordable, clean electricity.
ENODA is an innovator in energy platforms, developing advanced technologies for grid operators and developers that remove constraints to decarbonisation.
Integrated hardware and software solutions slot into existing infrastructure, enabling the grid to become self-balancing and the primary provider of system stability.
We are a mission-driven organisation committed to enabling humanity to prosper on 100% renewable energy. We are averse to introducing bureaucracy and are building a working culture that enables us to achieve our purpose and change the world.
Check out the ENODA YouTube channel to learn more about us.
You'll Spend Your Time
- Building and deploying machine learning models for energy forecasting and system optimization
- Working closely with engineers and mathematicians to validate data-driven models
- Designing and implementing real-time analytics for monitoring grid stability
- Developing algorithms for energy market interactions, including bidding strategies
- Ensuring data quality and integrity for accurate model outputs
The Key Experience We're Looking For
- A degree in Data Science, Computer Science, or a related field
- 5+ years of experience in applied data science and machine learning
- Proficiency in Python, TensorFlow/PyTorch, and data visualization tools, big data Frameworks, GCP/Azure
- Very strong background in time-series analysis and forecasting
The Following Would Be Advantageous
- Experience in energy markets, grid optimization, or renewable integration
- Knowledge of blockchain technology and decentralised computing
- Familiarity with reinforcement learning and decision optimisation
What We Offer
- Salary: £80K - £100K dependent on skills & experience
- Private Medical Insurance
- Flexible Pension policy tailored to your requirements
- 33 days annual leave + Holiday purchase/sell scheme
- Dental cash-back scheme
- Cycle-to-Work scheme
- Season travel ticket loan
- Enhanced company sick pay & Income Protection
- Life Assurance
This role is based onsite at Quartermile in Edinburgh.
