Data Scientist (PhD)

📋 Description

• Assist in collecting, cleaning, and preprocessing large volumes of structured and unstructured data.
• Support exploratory data analysis to identify trends, patterns, and anomalies.
• Help build and validate predictive models using machine learning algorithms.
• Collaborate with software engineers, business analysts, and domain experts.
• Create data visualizations and reports to communicate findings clearly.
• Stay up to date with data science techniques and tools for financial services.

🎯 Requirements

• Bachelor’s or Master’s in Computer Science, Statistics, Mathematics, Economics, or Engineering.
• Basic understanding of statistics, ML, and data analysis techniques.
• Familiarity with Python or R.
• Experience with data manipulation libraries (pandas, numpy, scikit-learn).
• Exposure to SQL and database querying.
• Strong problem solving and collaboration skills.

🎁 Benefits

• Opportunity to grow and learn within a leading fintech company.
• Mentorship from experienced data scientists.
• Exposure to cutting-edge technology and real-world financial datasets.
• Collaborative and inclusive work environment.
• Competitive salary and benefits.