At METLEN Energy & Metals, we are catalysts for a sustainable future, positioned at the forefront of the energy transition while being a reference point for competitive green metallurgy at both the European and global levels. We are a global industrial and energy company operating across two highly interconnected and complementary sectors: Energy and Metals. With a consolidated turnover of €5,683 million and an EBITDA of €1,080 million, along with a workforce of over 7,627 dedicated individuals, we drive success through cutting-edge technology and diverse talent. We are committed to embracing new state-of-the-art technologies and advancements, propelling us towards a cleaner, brighter tomorrow. Our positive footprint extends across five continents, creating a lasting impact. At METLEN, we foster a culture of resilience, challenge, respect, excellence, and change, empowering our diverse workforce to achieve remarkable outcomes. We are currently looking for a Senior Data Scientist to join our Technology Enablement Office in Athens, Greece. By joining this role, you will play a pivotal part in shaping our data science strategy, fostering an internal community of practice, and ensuring the quality and business relevance of AI solutions—particularly in the fast-evolving areas of predictive AI and Generative AI. Your role will encompass: - Community Building: Establish and nurture a strong internal data science community across METLEN sectors, promoting collaboration, knowledge sharing, and innovation. - Model Evaluation: Assess and validate AI/ML models developed internally or by external vendors, ensuring alignment with business needs, standards, and technical excellence. - Technology Scouting: Stay updated on the latest AI and Gen-AI advancements and recommend innovative technologies that can create business value. - Cross-functional Collaboration: Partner with business units, IT teams, and external stakeholders to translate complex data challenges into actionable insights. - Governance & Best Practices: Contribute to data science standards, model governance frameworks, and responsible AI practices. What you bring to the role: - 5+ years of experience in data science with a strong focus on predictive modeling. - Bachelor in Computer Science, Data Science, Statistics, or a related field; Master’s or PhD degree is a plus. - Proven expertise in designing, deploying, and evaluating machine learning models. - Solid background in feature engineering, model selection, hyperparameter tuning, and performance evaluation. - Strong programming skills in Python, R, or similar languages and experience with ML frameworks and understanding of Gen-AI technologies. - Hands-on experience with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch. - Familiarity with MLOps practices, model monitoring, and lifecycle management is a plus. - Experience in evaluating and integrating third-party AI solutions is a plus. Share the same Value Based Behaviors:   - People & Personal growth.   - Results orientation & Safety excellence.   - Collaboration & Trust.   - Empathy & Effective communication.   - Flexibility & Adaptability.