Data Scientist (PhD) , 2026 Leadership Development Program, India - 0026
Team: Data Science & Analytics
Location: Noida
Commitment: Full-time
Workplace Type: onsite
Your Duties and 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
- Knowledge of financial markets or interest in financial technologies
- Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn)
Required Skills, Qualifications and Education:
- PhD is mandatory in Computer Science, Statistics, Mathematics, Economics, Engineering, or a related field
- 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
- 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
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