We are currently looking for a Data Scientist / ML Engineer to join the AI Adoption and Innovation team at the Ignitis Group shared service center. In this role, you will develop data-driven and machine-learning solutions for renewable energy generation, forecasting, asset performance, and other energy-sector challenges. You will work closely with renewable energy, commercial, data, and engineering teams to explore complex datasets, build predictive models, and turn experimental solutions into reliable analytical products.
If you want to apply data science and machine learning to real energy-sector problems, we would be happy to welcome you to our team!
Take YOUR part in #EnergySmart!
You will contribute to secure and green energy ecosystem creation by:
- Developing forecasting and machine-learning solutions for wind, solar, battery energy storage, and other renewable energy use cases
- Building models for energy generation forecasting using weather forecasts, historical production, operational, and external data
- Identifying anomalies, performance deviations, equipment risks, and potential maintenance needs in energy assets
- Exploring optimisation opportunities for energy generation, storage, asset operations, and commercial decision-making
- Collecting, cleaning, transforming, and validating large volumes of structured, time-series, geospatial, and unstructured data
- Performing exploratory data analysis and communicating findings to technical and business stakeholders
- Creating prototypes and MVPs and developing successful models into maintainable production solutions
- Collaborating with renewable energy, commercial, engineering, IT, data, and AI teams across Ignitis Group
- Strong practical experience in data science, machine learning, applied statistics, or predictive analytics
- Strong Python programming skills and experience with libraries such as pandas, NumPy, scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, or equivalent tools
- Experience working with time-series data and developing forecasting, anomaly-detection, optimisation, or predictive models
- Understanding of model validation, feature engineering, backtesting, performance metrics, and error analysis
- Experience preparing data and developing reproducible data-processing and modelling pipelines
- Experience with Azure, Google Cloud, AWS, Databricks, Microsoft Fabric, or comparable data and machine-learning platforms
- Ability to explain model results, assumptions, and limitations to non-technical stakeholders
- Ability to work independently, structure an ambiguous analytical problem, and develop it from exploration to a working solution
- Strong English communication skills
Would be an advantage:
- Experience working with renewable energy, electricity markets, wind or solar generation, BESS, grid, weather, or SCADA data
- Experience with weather forecasting datasets, geospatial data, GIS, satellite imagery, or remote-sensing data
- 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 (3+2) 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% secure and green 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 % secure and green energy ecosystem for current and future generations.
And the way to achieve this is certainly not to wait for the perfect moment. We believe that the power to act comes from the charge we bring to our work every day. United by purpose. Owning the challenge. Passion for reinvention. Pursuing excellence. These are our mindsets. Together, they yield the energy that drives everything we do. The energy generated by our choices. If you are guided by the same mindsets – we look forward to welcoming you to our team!
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.