What we offer- Interact with senior stakeholders on a regular basis, to drive their business towards impactful change.- Become the go-to person for end-to-end data handling, management and analytics processes.- Work with Data Engineers to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation and visualization.- Become part of a fast-growing international and diverse team.What you will do- You own together with your team several of our Data Science solutions throughout the full life cycle (brainstorming, design, implementation, productization and maintenance).- Analyze large datasets to identify trends, patterns, and insights, with a particular focus on energy consumption, production, and management.- Develop, implement, and maintain predictive models and machine learning algorithms to optimize energy use and efficiency.- Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.- Create effective data visualizations to communicate findings and recommendations to both technical and non-technical stakeholders.- Evaluate and improve model performance through validation techniques and hyperparameter tuning.- Stay updated with the latest trends and advancements in data science and machine learning, especially as they pertain to the energy sector.What you'll bring- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field. A PhD is a plus.- Minimum of 3 years of experience in a similar Data Scientist role.- Strong programming skills in Python (R and Scala is a plus).- Knowledge of predictive modeling techniques, time-series analysis, regression analysis, clustering, classification, and dimensionality reduction.- Experience with machine learning tools and libraries (e.g., scikit-learn, TensorFlow, PyTorch).- Proficiency in SQL and database management systems (e.g. Databricks, Snowflake).- Ability to manipulate and analyze large datasets using tools such as Pandas, NumPy, and other data analysis libraries.- Experience creating visualizations using tools like Matplotlib, Tableau, or Power BI.- Excellent communication skills and the ability to work collaboratively in a consultancy environment.Preferred skills:- Familiarity with cloud services, particularly Azure and Azure Functions.- Knowledge and experience with dbt and GitHub.- Experience deploying models in production environments.- Knowledge of advanced machine learning techniques such as deep learning, NLP, and reinforcement learning.- Familiarity with energy sector challenges and opportunities.
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