DATA SCIENTIST ML ENGINEER (FMD)

We are currently looking for a Data Scientist / ML Engineer to join the AI Adoption and Innovation team at the Ignitis Group shared service 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

Qualifications :

• 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

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% 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.

Remote Work :

No

Employment Type :

Contract