Job description

Overview BB Energy has a legacy spanning more than six decades. Today, the Group provides expertise across energy trading, operations, logistics, storage and retail. Our diversified portfolio cuts across many segments of the energy industry from trading crude oil and petroleum products to natural gas and renewables. With global operations anchored out of five hub offices in London, Dubai, Singapore, Houston and Athens, BB Energy has a global network of nearly 500 employees in a dozen offices across five continents. Growth and diversification remain cornerstones of BB Energy's business strategy as it supports an energy ecosystem capable of delivering affordable, secure, and increasingly clean energy to the societies that need it most. For our office in Athens, we are looking for a Senior Data Scientist to play a key role in advancing our machine learning and analytics capabilities. This position focuses on designing, training, and deploying production-grade models within the Microsoft Azure and Microsoft Fabric ecosystem . The ideal candidate combines strong quantitative skills with the ability to translate data into actionable insights, while showing potential to grow into a broader strategic role over time. Why Join Us? We are a fast growing business in one of the most dynamic markets. Our team includes some of the leading experts in this field. We have a strong entrepreneurial spirit We are a well established business with a strong heritage and track record of success globally. We have a flat management structure and open management style - all voices heard and all voices count. Competitive salary and benefits package offered. Job Accountabilities Develop and deploy machine learning and statistical models using Azure and Microsoft Fabric . Conduct quantitative research such as forecasting, optimization, and causal analysis to address business challenges. Ensure models are robust, interpretable, and maintainable in production environments. Use Microsoft Fabric tools for data integration, preparation, and analysis . Collaborate with business stakeholders to deliver scalable, data-driven solutions . Present model results and insights in a clear, impactful way to both technical and non-technical audiences. Contribute to mentoring peers , sharing best practices, and strengthening the data science culture. Skills & Experience Master’s or Ph.D. in Statistics, Applied Mathematics, Data Science, or related field . 5–7+ years of experience in applied data science and machine learning , with experience deploying models in production. Strong expertise in Azure ML and working knowledge of Microsoft Fabric (Lakehouse, Synapse, Power BI). Proficiency in Python and SQL , with depth in statistical modeling, predictive analytics, and ML frameworks . Experience with time-series forecasting, optimization, or NLP . Strong communication skills with the ability to explain complex results in simple terms. Exposure to MLOps practices on Azure ML (pipelines, monitoring, lifecycle management). Familiarity with business domains such as energy, finance, or commodities. Strong skills in data visualization and storytelling (Power BI, matplotlib, Plotly). #J-18808-Ljbffr B.B. Energy

Requirements