Data Science Analyst - for B.Tech Class of 2026

Key Responsibilities

• 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 cross-functional teams including software engineers, business analysts, and domain experts.
• Contribute to creating data visualizations and reports to communicate findings clearly to technical and non-technical audiences.
• Stay up to date with the latest data science techniques and tools relevant to financial services.

Required Skills, Qualifications:

• Bachelor’s or master’s degree in computer science, Statistics, Mathematics, Economics, Engineering, or a related field.
• Basic understanding of statistics, machine learning, and data analysis techniques.
• Familiarity with programming languages such as Python or R.
• Experience with data manipulation and analysis libraries (e.g., pandas, numpy, scikit-learn).
• Exposure to SQL and database querying.
• Good problem-solving skills and attention to detail.
• Strong communication skills and the ability to work collaboratively in a team environment.
• Prior internship or project experience in data science or analytics is a plus.

What we Offer

• 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.