• Collect, clean, and preprocess structured and unstructured data • Perform exploratory data analysis to identify trends and insights • Build and evaluate machine learning models under guidance • Develop data visualizations and dashboards to communicate findings • Assist in deploying models and monitoring their performance • Work with large datasets using tools like Python, SQL, and cloud platforms • Document processes, experiments, and results clearly • Participate in team demos, feedback sessions, and learning opportunities.

• Join a company that loves to transform through technology and embraces diversity in all its forms!

• Develop statistical analyses to identify patterns, trends, and opportunities for improvement; • Build, validate, and monitor predictive models using machine learning techniques; • Work on data cleaning, exploration, and preparation of datasets; • Develop forecasting models to support planning and decision-making; • Evaluate model performance and propose continuous improvements; • Translate analytical results into business recommendations; • Collaborate with cross-functional teams to understand requirements and implement analytical solutions

• Develop novel, state-of-the-art AI and machine learning models to support risk strategies; • Recommend data-driven, risk-based business decisions to positively impact KPIs across Trustly's payment portfolio; • Conduct analysis to measure model performance, compare performance across multiple models, and influence model strategy and selection decisions; • Collaborate with ML Engineers to deploy AI/ML models and strategies in Trustly's decision engine; • Explore raw source data, perform feature research and engineering to support decisioning capabilities; • Support development and maintenance of risk modeling infrastructure, working closely with ML Engineers and MLOps; • Develop data- and business-driven risk prevention rules and strategies; • Monitor risk and decision trends and performance, providing ongoing optimization adjustments as needed.