Intern (Data Science)

Intern (Data Science) - Detalhes da Vaga. ● In this role, you will leverage large-scale datasets to identify emerging fraud patterns and support the creation of data-driven decision-making across the organization. ● This position is designed for an individual pursuing a bachelors degree in a quantitative field to use analytical techniques to leverage solve real-world fraud and risk challenges at scale. ●You will work cross-functionally with product managers, data scientists, data engineers, and technical teams to evaluate new and existing datasets, surface actionable insights, and enhance fraud controls across platforms. ●Responsibilities:- Analyze millions of transaction records to identify fraud trends and risk signals using SQL- Identify and evaluate new signals from device, behavioral, and geographic data to strengthen fraud prevention strategies- Perform in-depth fraud analytics to come up with rule opportunities that- Document analytical findings and communicate insights and recommendations to stakeholders and leadership- Conduct exploratory data analysis to identify anomalies, key drivers, and significant features that inform fraud risk management decisionsQualifications:- Working towards a bachelors degree in data science, Computer Science, Statistics, Engineering, or a related quantitative field- Working knowledge of SQL, including the ability to write basic queries for data validation and investigation. ●- Proficiency in SQL for querying and analyzing large datasets- Proficiency in Microsoft Excel, including formulas, filtering, pivot tables, and basic data analysis. ●- Experience with analytics and reporting tools (e. ●G. ●, Python and Power BI) is a bonus. ●- Demonstrated interest or experience in fraud, cybercrime, payments, or financial risk modeling- Strong written and verbal communication skills with the ability to present complex analyses clearly- Self-motivated, detail-oriented, and able to prioritize work effectively in a fast-paced, collaborative environment. Requisitos para participar do processo. ● . O que oferecemos.