Senior Associate Data Science

NPCI International; Hyderabad; On-site; INR 800,000 - 1,200,000; Full time

Benefits offered by this job

Medical, accidental, and life insurance

Onsite medical center

Inclusive maternity and paternity leave

Relocation assistance

Technology Innovation: Patents and IP Rights policy

Job summary

NPCI International in Hyderabad is looking for a Data Scientist to translate business problems into data-driven solutions. The ideal candidate will have strong proficiency in Python and experience with machine learning algorithms.

The position offers comprehensive benefits, including medical insurance, parental leave, and mobility support among others. Join NPCI as they foster an inclusive culture and contribute to India's digital payments ecosystem.

Qualifications

• Strong proficiency in Python, particularly libraries like NumPy and Pandas.
• Experience in leveraging Machine Learning algorithms for data analysis.
• Solid understanding of statistics, probability, and data distributions.

Responsibilities

• Translate business problems into data science solutions.
• Perform data analysis and feature engineering.
• Develop and optimize machine learning models.

Skills

Python (NumPy, Pandas, Scikit-learn)

Machine Learning algorithms (Supervised & Unsupervised)

Statistics and probability

SQL and relational databases

Data preprocessing and feature engineering

Git and version control

Tools

Jupyter

Kubeflow

Job description

National Payments Corporation of India (NPCI) | Full Time

As an Equal Opportunity Employer, NPCI is committed to fostering an inclusive workplace culture, with zero tolerance for discrimination based on race, ethnicity, disability, gender identity, or sexual orientation, including support for the LGBTQ+ community.

The National Payments Corporation of India (NPCI) is a pivotal institution in India's digital payments ecosystem, established by the Reserve Bank of India (RBI) and the Indian Banks’ Association (IBA).

Key Responsibilities

• Understand business problems and translate them into data science solutions.
• Perform data analysis, data cleaning, and feature engineering on large datasets.
• Build, evaluate, and optimize machine learning/statistical models.
• Apply techniques such as regression, classification, clustering, and time‑series modeling.
• Develop and deploy models using Python‑based ML frameworks.
• Partner with engineering teams to productionize models and pipelines.
• Communicate insights and model outcomes to non‑technical stakeholders.
• Monitor model performance and retrain models as required.
• Document methodologies, assumptions, and results clearly.

Required Skills & Qualifications

• Strong proficiency in Python (NumPy, Pandas, Scikit‑learn).
• Experience with Machine Learning algorithms (Supervised & Unsupervised).
• Solid understanding of statistics, probability, and data distributions.
• Experience working with SQL and relational databases.
• Knowledge of data preprocessing, feature engineering, and model evaluation.
• Familiarity with Git and version control.

Data & Tools

• Experience with Jupyter / kubeflow / notebooks.

Employee Perks and Benefits

• Comprehensive Coverage: Medical, accidental, and life insurance.
• Employee Assistance Program: Onsite medical center, financial/legal counseling, mental wellness.
• Annual Wellness Bouquet: Holistic well‑being support.
• Parental Leave: Inclusive maternity and paternity leave.
• Daycare Support: Assistance for working parents.
• Mobility Benefits: Relocation, transfers, and travel support.
• Home Loan Interest Support: Up to 50% reimbursement.
• Mobile Reimbursement: New handset every 2 years.
• Car Lease, Salary Advance, Subsidized Meals.
• Reward & Recognition Program.
• Technology Innovation: Patents and IP Rights policy.
• Provident Fund (PF) and Gratuity Contributions.