We are currently seeking a new colleague to join our Energy Trading team. In this role youll build and maintain forecasting models to predict energy generation and consumption using advanced statistical and machine-learning techniques. If this sounds like you wed be delighted to welcome you aboard!
Take YOUR part in #EnergySmart!
Youll help build a green secure energy ecosystem by:
- Building testing and continuously refining predictive models to adapt to evolving market and weather conditions
- Playing a key role in developing and deploying algorithmic trading strategies for the intraday power markets - and actively participating in trading operations
Qualifications :
- University degree (Data Science Statistics Computer science Mathematics Physics Econometrics or a closely related field)
- Practical experience with Python SQL Git.
- Practical experience in training neural network models (CNNs or RNNs) for regression tasks using pytorch or Tensorflow
- Experience in applying data science and machine learning techniques to build forecasting models performing rigorous statistical testing
- Proactiveness responsibility collaboratives and attentiveness to details
- Eagerness to learn energy market specifics
- Great communication skills in English (writing and speaking)
Would be an advantage:
- Linux Apache Airflow building API microservices (Flask Fast API etc.) and small scale Python applications
Additional Information :
- A package of additional benefits to choose from: pension accumulation health insurance or another benefit from the selectable benefits list in the MELP application
- Additional paid days for health improvement short-term illness volunteering and accumulated work experience
- A hybrid work model (32) and flexible working hours
Internal career opportunities - Extensive learning and qualification enhancement programs
- Mentorship-based culture designed to facilitate meaningful and value-driven work
- Take part in an unfolding energy transformation process to create a 100% green and secure energy ecosystem for both current and future generations
Join a growing and increasingly international team of energy smart people united by a common purpose. We all play our part in creating a 100% green and secure energy ecosystem for current and future generations.
As we pursue our strategic goals to increase gender balance in Ignitis Group we are indicating f/m/d next to job titles meaning we welcome candidates of all genders female male or diverse.
Ignitis Group ensures equal opportunities. We welcome all applicants and do not discriminate against race religion gender sexual orientation or gender identity age disability or other personal traits unrelated to work obligations.
Remote Work :
Yes
Employment Type :
Full-time