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As a Senior Data Scientist, you'll join a high-performing analytics and engineering team to design, build, and deploy advanced data solutions that power strategic decision-making across the organization. You'll work with complex datasets, modern cloud platforms, and scalable big-data technologies to drive insights in banking operations, risk management, and regulatory compliance. You'll collaborate closely with business stakeholders, data engineers, and risk & compliance teams to deliver predictive models, fraud-detection systems, and robust data pipelines.Your responsibilities include:Designing and developing end-to-end data science solutions, from data exploration to production deploymentBuilding advanced predictive models and machine learning pipelines to support risk, fraud, and operational use casesImplementing and optimizing ETL/ELT workflows for large and diverse datasetsManaging and transforming data using Python, R, SQL, and JavaWorking with large-scale big-data ecosystems (Hadoop, Spark)Maintaining and improving databases (MySQL, PostgreSQL) and cloud-based data warehouses (Snowflake, Redshift, BigQuery)Developing dashboards, reports, and insights using Power BIEnsuring full adherence to banking regulations, including Basel III, GDPR, and CCPACollaborating across teams to translate business needs into data-driven solutionsDocumenting models, processes, and data pipelines to ensure transparency and auditabilityYOUR SKILLS5 years of hands-on experience as a Data Scientist or in an advanced analytics roleStrong proficiency in Python, R, SQL, and JavaSolid experience with MySQL & PostgreSQL database managementProven expertise with Hadoop and Spark ecosystemsStrong skills in data cleaning, transformation, and ETL processesExperience developing and deploying predictive modelsProficiency in Power BI for dashboarding and visualizationDeep industry knowledge in banking operations, products, services & regulatory environmentsSolid understanding of risk management methodologiesExperience ensuring regulatory compliance (Basel III, GDPR, CCPA)Hands-on experience in fraud detection techniques and modelsFamiliarity with data warehousing technologies such as Wherescape, Snowflake, Redshift, or BigQueryAnalytical mindset, strong communication skills, and a proactive attitudeFluent in English; French or Dutch is a plusOUR OFFERDuration: 6 monthsHybrid work environmentStart: 01/2026If you're a senior data expert ready to shape the future of data-driven banking, we'd love to hear from you
