Senior Data Scientist – Financial AI & Analytics

• Minimum 4 years of experience as a Data Scientist, AI Scientist or in a similar role.
• Proven experience working with large datasets in financial or banking sectors.
• Strong Python programming skills and experience with Pandas, Scikit-learn, TensorFlow or PyTorch.
• Solid understanding of statistics, probability and mathematical modeling.
• Hands-on experience deploying machine-learning models in production.
• Knowledge of SQL and relational databases.
• Familiarity with big data tools and platforms such as Spark, Hadoop or cloud services.
• Ability to design experiments and use advanced analytical techniques.
• Excellent communication skills to present insights to technical and non-technical audiences.
• Fluent command of English, written and spoken.

Nice to have:

• Certifications related to data science or AI.
• Experience with financial regulation compliance in analytics projects.

• Analyze large, complex datasets to identify patterns and generate actionable insights.
• Design, develop and validate predictive and prescriptive models to support financial decision-making.
• Conduct research experiments combining statistical methods with AI algorithms.
• Collaborate with stakeholders to translate business needs into data-driven solutions.
• Implement machine-learning models in production and monitor their performance.
• Document methodologies, results and recommendations.
• Work with analysts, engineers and business managers.
• Ensure compliance with financial regulations and data privacy standards.
• Stay updated with emerging AI and data science techniques and apply them.

• Only candidates with an existing legal right to work in the European Union will be considered.