Related skills
sql python pandas pyspark numpy📋 Description
- Design and implement scalable forecasting, pricing, and optimisation algorithms.
- Lead technical design discussions for high-volume data processing.
- Translate business and energy-market needs into data solutions.
- Improve robustness and performance of models and workflows.
- Mentor peers via code reviews and knowledge sharing.
- Collaborate with Product, Data, and Delivery to ensure reliability in production.
🎯 Requirements
- Proven experience designing and deploying production algorithms.
- Python expert; experience with SQL, Pandas, NumPy, SciPy, PySpark.
- Experience building microservices and distributed systems.
- Experience with large-scale or high-frequency datasets (IoT, weather, etc.).
- SaaS/product familiarity; energy domain a plus.
- Collaborative, pragmatic mindset with strong communication.
🎁 Benefits
- Flexible work options: Office Mix or Remote First Mix.
- Purposeful work helping energy retailers and climate goals.
- Remuneration based on experience and location.
- Generous PTO and health insurance.
- Career growth and lifelong learning.
- International company gatherings and travel.
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