Senior Data Science Analyst at ELSA, focusing on data - driven strategies and customer analytics. Collaborating with teams to optimize B2C and B2B initiatives in a hybrid working environment.
About the role
- Data Scientist specializing in Renewable Energy Modelling at Vaisala, focusing on predictive models for renewable energy generation and power demand.
Responsibilities
- Develop, improve and automate wind and solar power production indices, ensuring high accuracy and reliability.
- Develop and improve energy demand indices.
- Experiment with a range of modeling techniques to evaluate performance.
- Explore methods to support both deterministic and statistical approaches to prediction.
- Collaborate with software developers to integrate promising approaches into larger workflows.
- Automate clients’ data cleaning techniques used as an input to ML models.
Requirements
- Fundamental knowledge of energy markets and renewable energy generation and demand modeling
- Knowledge of meteorological datasets
- Hands-on experience with machine learning libraries (scikit-learn, XGBoost, PyTorch, TensorFlow, or similar).
- Strong skills in feature engineering for time-series or structured datasets.
- Familiarity with statistical and ensemble methods.
- Proficiency in Python, with strong analytical and data manipulation skills.
- A solid knowledge of software development, ideally in C#
- Excellent communication skills for liaising with internal teams and external stakeholders.
- Please note all applicants must have the legal right to work in the UK. We are unable to sponsor visas for this role.
Benefits
- No benefits or perks listed.
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