BNP Paribas Hiring Data Science Intern in Mumbai, Maharashtra, India for 2026 batch. Hiring BNP Paribas offers 6-month internship with PPO opportunity. Apply for BNP Paribas Hiring For Data Science.
Mumbai, Maharashtra, India – BNP Paribas Hiring in Mumbai, Maharashtra, India has announced exciting opportunities for BNP Paribas Hiring For Data Science Intern positions for 2026. Hiring BNP Paribas is seeking talented data science graduates and postgraduates to join their innovative LAB team. This 6-month internship offers hands-on experience in building machine learning models, working with alternative data sources, and developing solutions for real-world financial challenges. The BNP Paribas in Mumbai, Maharashtra, India office provides an excellent platform for aspiring data scientists to launch their careers in the banking and financial services sector.
About the Internship Opportunity
BNP Paribas, one of the world’s leading banking institutions, is expanding its data science capabilities in Mumbai. This internship program focuses on:
- Building predictive models to enhance client services and recommendations
- Helping traders understand and manage complex financial risks
- Leveraging alternative data sources including social media, news, and images
- Developing AI-driven solutions for strategic decision-making
The LAB team at BNP Paribas works on cutting-edge projects that directly impact business operations. Interns will have the opportunity to take ownership of meaningful projects and see their work deployed in live business environments.
Internship Duration and Flexibility
The program offers a 6-month internship with flexible starting dates. BNP Paribas encourages early applications and can accommodate candidates based on their availability. This extended duration allows interns to fully immerse themselves in projects and make significant contributions to the team.
Key Project Areas
Interns at BNP Paribas Data Science LAB will work on diverse and challenging topics, including:
Previous successful projects have included:
- Prediction of products most likely to interest specific clients
- Automated generation of market commentary
- Optimal risk management for interest rates swap risk
- Regime disentanglement for financial mixture of experts models
- Generative modeling for model control
- Transformers for quantitative investment strategies
The actual project assignment depends on your skillset, interests, and current business needs.
Key Responsibilities
Direct Responsibilities:
- Explore and examine data from multiple diverse data sources
- Conduct conceptual modeling, statistical analysis, and predictive modeling
- Perform optimization design and implementation
- Execute data cleanup, normalization, and transformation tasks
- Develop and test hypotheses through careful experimentation
Contributing Responsibilities:
- Build workflows for data extraction, transformation, and loading (ETL)
- Enable integration with existing systems and datasets
- Ensure data integrity and security throughout all processes
Required Technical Skills and Qualifications
Education Requirements:
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related fields
- Strong foundation in solving complex data problems
- Deep understanding of how and why machine learning models work
Technical Competencies:
- Programming: Proficiency in Python with clean, concise coding ability
- Libraries: Experience with NumPy, scikit-learn, pandas, Keras, TensorFlow, PyTorch, langchain
- Mathematics: Strong knowledge of Probability Theory, Statistical Inference, and Linear Algebra
- Machine Learning: Understanding of Classification, Prediction, Clustering, and other ML procedures
- Current Trends: Familiarity with latest Machine Learning and AI research
Behavioral Competencies:
- Intellectually curious with eagerness to learn challenging concepts daily
- Strong collaboration and teamwork abilities
- Excellent communication skills (both written and oral)
- Critical thinking and analytical ability
- Attention to detail and rigor in work approach
- Active involvement in data science communities (Kaggle, Numerai, Open ML, or similar platforms)
What Makes This Opportunity Special
This isn’t just another internship – it’s a launchpad for your data science career in financial services. You’ll work with massive datasets, experiment with state-of-the-art machine learning techniques, and see your models impact real business decisions.
The role offers:
- Exposure to financial markets and banking operations
- Mentorship from experienced data scientists
- Opportunity to work on production-level systems
- Potential for Pre-Placement Offer (PPO)
- Collaborative environment encouraging innovation and experimentation
Ideal Candidate Profile
BNP Paribas seeks candidates who are:
- Motivated to work with large, diverse datasets
- Not afraid to experiment, fail, and iterate toward solutions
- Able to adapt quickly to new challenges
- Excited about extracting valuable insights from complex data
- Ready to incorporate user feedback and continuously improve their work
Experience Level: Beginner (Fresh graduates and final-year students welcome)
Location and Work Environment
The position is based in Mumbai, Maharashtra, India, at BNP Paribas’s modern office facilities. You’ll be part of the LAB team, working alongside talented data scientists, quantitative analysts, and business stakeholders.
How to Apply
Interested candidates should prepare their applications with:
- Updated resume highlighting relevant projects and skills
- Portfolio or GitHub links showcasing your data science work
- Academic transcripts
- Any certifications in machine learning, data science, or related areas
Early applications are encouraged as positions are filled on a rolling basis.
Frequently Asked Questions (FAQs)
Q1: What is the duration of the BNP Paribas Data Science internship?
A: The internship duration is 6 months with flexible starting dates. BNP Paribas accommodates candidates based on their availability and encourages early applications.
Q2: Is there a possibility of a Pre-Placement Offer (PPO) after the internship?
A: Yes, high-performing interns may receive Pre-Placement Offers based on their contributions, technical skills, and cultural fit with the organization.
Q3: What programming languages and tools should I be familiar with for this role?
A: Proficiency in Python is essential. You should be comfortable with libraries like NumPy, scikit-learn, pandas, Keras, TensorFlow, and PyTorch. Knowledge of machine learning concepts and statistical analysis is also required.
