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 is committed to a policy of equal employment opportunity and does 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