Data Scientist

Role Overview

We are looking for a Data Scientist to help the bank make smarter, data-driven decisions across credit, risk, fraud, and customer analytics. The Data Scientist will work with large-scale financial and customer data to build, deploy, and monitor models that are accurate, explainable, and compliant with banking regulations.

What You Will Do

Directing the data gathering, data mining, and data processing processes in huge volume discover patterns and appropriate data models to discover the values of the data to meet the organization’s unique needs. Utilize machine learning to build predictive or prescriptive models in order to extract insights and drive business decision-making.

Why It Might Be a Fit

The Data Scientist will collaborate closely with business, risk, and technology teams to turn data into insights, models into products, and analytics into measurable business impact. The role requires a combination of technical, statistical, and business skills to extract insights from data and drive business decision-making.

Requirements

• Master’s degree (or higher) in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related quantitative field.
• 3+ years of hands-on experience in data science, statistical modeling, or machine learning (experience in Banking / FinTech / Insurance is a strong plus).
• Strong programming skills in Python (e.g., Pandas, NumPy, Scikit-learn) and SQL for working with large datasets.
• Proven experience building and validating models using tree-based methods (e.g., XGBoost, LightGBM, CatBoost) or similar algorithms.
• Solid understanding of statistics and machine learning concepts (sampling, hypothesis testing, regularization, cross-validation).
• Experience in presenting analytical results to non-technical stakeholders in a clear and structured way.
• Good command of English; ability to work with regional/global teams is an advantage.