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Senior Data Scientist at Ardanis. Titles? Meh. We’re not obsessed with them! Internally, you’ll be a Data Scientist like the rest of the team 😉 . Just with that extra layer of expertise, strategic mindset, and the ability to build solutions that truly move the needle. We’re expanding our Data & Analytics team with a senior professional who can lead complex initiatives, influence architecture and methodology, and help shape data-driven decision-making across the organization. If you thrive at the intersection of technical depth, business understanding, and hands-on problem-solving, you’ll fit right in.. What You Will Be Doing. Identify, qualify, and shape opportunities for Data Science projects across different industries. . Design and deliver end-to-end data solutions: from exploration and modelling to deployment and validation. . Lead client engagements from initial discussions through project scoping, planning, and proposal development. . Build, evaluate and refine statistical models, predictive algorithms, and data-driven decision systems. . Collaborate closely with engineering teams to ensure smooth deployment, scalability, and monitoring. . Guide best practices in data quality, modelling standards, and reproducibility. . Mentor team members and contribute to continuous learning across the organization. . Support commercial efforts by shaping technical approaches, contributing to proposals, and helping close deals. . Develop long-term relationships with clients and stakeholders.. 5+ years of experience in Data Science, Machine Learning, or Advanced Analytics. . Proven experience shaping and closing data-driven or technical project opportunities. . Strong understanding of statistical modelling, predictive analytics, and business problem-solving. . Excellent communication skills — able to translate complex insights into actionable recommendations. . Demonstrated ability to build and deliver data products or analytical solutions end-to-end. . Solid experience with Python (expert level) and strong SQL skills. . Hands-on experience with common DS libraries (pandas, NumPy, scikit-learn, PyTorch/TensorFlow, etc.). . Comfortable working with cloud or modern data platforms. . Fluent English (mandatory).. Nice to have. Experience with Big Data ecosystems or cloud platforms (Azure, AWS, GCP). . Experience deploying models in production or working with MLOps concepts. . Knowledge of NLP, Computer Vision, time series, or recommendation systems. . Experience with API development, CI/CD, or containerization. . Strong software engineering fundamentals (testing, versioning, code structure). . Experience with dashboarding or BI tools (Power BI, Looker, Tableau). . Familiarity with data architectures, ETL/ELT pipelines, or data engineering concepts.. Company Location: Portugal.