Data Scientist

THE WORK:
• Analyze and explore large datasets to identify patterns, trends, and insights.
• Design, develop, and evaluate machine learning and statistical models.
• Prepare, clean, and transform data for analysis and modelling.
• Develop predictive analytics solutions to address business challenges.
• Collaborate with data engineers, business analysts, and other stakeholders to understand requirements.
• Present analytical findings through reports, dashboards, and data visualizations.
• Support the deployment, monitoring, and continuous improvement of data science solutions.
• Document methodologies, models, and analytical results. Onsite at client site: This role requires an onsite presence with our clients and partners to support project delivery and strengthen collaboration. Our roles require in-person time to encourage collaboration, learning, and relationship-building with clients, colleagues, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. HERE’S WHAT YOU’LL NEED:
• Professional experience in Data Science, Machine Learning, or Advanced Analytics.
• Strong programming skills in Python, including libraries such as Pandas, NumPy, and Scikit-learn.
• Good knowledge of statistics, machine learning algorithms, and predictive modelling.
• Experience with SQL, data preparation, and data manipulation.
• Familiarity with data visualization and reporting tools.
• Ability to interpret complex data and communicate findings to technical and non-technical stakeholders.
• Strong analytical, problem-solving, and communication skills.
• Fluency in English is mandatory. BONUS POINTS IF YOU HAVE:
• Experience with NLP, Generative AI, or Large Language Models (LLMs).
• Knowledge of cloud platforms such as Azure, AWS, or Google Cloud.
• Familiarity with MLOps, model deployment, and monitoring.
• Previous experience working within European institutions or other complex organizational environments.