BNP Paribas India Solutions is hiring a Data Science Intern for its Global Markets – Data & AI Lab in Bengaluru, Karnataka. This is a full-time internship opportunity under the Trainee / Internship category for candidates with a background in data science and STEM fields.
The internship will involve working with large and diverse datasets, developing statistical and machine learning models, experimenting with data-driven solutions, and extracting meaningful insights for business applications.
The Data Science Intern will be part of the Front Office Support department and will work on topics connected with Global Markets, Data Science, Artificial Intelligence, and quantitative applications.
BNP Paribas Data Science Intern – Job Overview
| Details | Information |
|---|---|
| Company | BNP Paribas India Solutions |
| Job Role | Data Science Intern |
| Job Type | Trainee / Internship |
| Employment Type | Full Time |
| Department | Front Office Support |
| Business Line | Global Markets – Data & AI Lab |
| Location | Bengaluru, Karnataka |
| Experience | Internship |
| Internship Duration | 6 Months |
| Education | Bachelor’s or Master’s in STEM fields |
| Reference | 612345678901012216 |
| Last Updated | 20 May 2026 |
About the Data Science Intern Role
As a Data Science Intern at BNP Paribas, candidates will work on data science problems related to financial markets and business applications. The role involves exploring different sources of data, developing models, performing statistical analysis, and building data workflows.
The Global Markets – Data & AI Lab works on models designed to improve client services, support traders in understanding and managing risks, and make use of alternative data sources such as social media, news, and images.
The internship is expected to last 6 months, with flexibility around the starting date. Interns will participate in the activities of the Data & AI Lab and take ownership of one or more assigned topics.
Key Responsibilities
| Responsibility | Description |
|---|---|
| Data Exploration | Explore and examine data from multiple and diverse data sources. |
| Statistical Analysis | Work on conceptual modeling, statistical analysis, predictive modeling and optimization design. |
| Data Preparation | Perform data cleanup, normalization and transformation. |
| Hypothesis Testing | Develop hypotheses and test them through carefully designed experiments. |
| Data Workflows | Help build workflows for extracting, transforming and loading data from different sources. |
| Data Integration | Enable linking of different data sources with existing systems and datasets. |
| Data Integrity | Help ensure the integrity and security of data. |
Possible Data Science Projects
Depending on the candidate’s skills and business requirements, interns may work on different topics within the Data & AI Lab.
Some historical project areas mentioned in the job description include:
- Prediction of products likely to be interesting for a particular client
- Automated generation of market comments
- Optimal risk management of Interest Rate Swap risk
- Regime disentanglement for financial mixture-of-experts models
- Generative modelling for model control
- Transformers for quantitative investment strategies
The exact project or topic will depend on the candidate’s skillset and business requirements.
Skills Required
| Skill | Requirement |
|---|---|
| Programming | Python |
| Version Control | Git |
| Statistics | Probability Theory, Inference and related statistical concepts |
| Mathematics | Linear Algebra and other key mathematical concepts |
| Machine Learning | Classification, Prediction and Clustering |
| Deep Learning | Knowledge of ML & Neural Network model architectures |
| Python Libraries | NumPy, pandas, scikit-learn |
| Deep Learning Frameworks | PyTorch, TensorFlow, Keras |
| AI / GenAI | LangChain, Unsloth, Hugging Face |
| Coding | Ability to write clear and concise Python code |
| Data Science Platforms | Kaggle, Numerai, Open ML or similar platforms |
Candidates should also have an understanding of current Machine Learning and Artificial Intelligence literature and be interested in learning challenging concepts.
Educational Qualification
| Qualification | Details |
|---|---|
| Degree | Bachelor’s or Master’s |
| Field | STEM fields |
| Study Area | Data Science / related technical fields |
| Experience | Internship opportunity; prior experience in solving complex problems is relevant |
The job listing specifically mentions candidates with education in data science and also requires a Bachelor’s or Master’s degree in any STEM field.
Behavioral Skills
Along with technical knowledge, BNP Paribas is looking for candidates who demonstrate:
- Good communication skills
- Critical thinking
- Ability to collaborate and work in a team
- Attention to detail
- Rigor in their work
- Intellectual curiosity
- Willingness to learn challenging concepts
- Ability to experiment and learn from feedback
What You Can Learn Through This Internship
The internship provides exposure to several areas of data science and AI. Depending on the assigned project, candidates may work with:
- Statistical modeling
- Predictive modeling
- Machine Learning
- Neural Networks
- Generative AI
- Large Language Models
- Data Engineering workflows
- Data preprocessing
- Financial market data
- Quantitative investment strategies
- Risk management
- Alternative data sources
- AI-based applications
Interns will also get an opportunity to see how their work can be used in real business environments.
About BNP Paribas Group
BNP Paribas is a major international banking group operating across multiple countries. The group has activities covering commercial and personal banking, investment and protection services, and corporate and institutional banking.
The group serves individual customers, businesses, entrepreneurs, corporates and institutional clients through a range of financial services.
About BNP Paribas India Solutions
BNP Paribas India Solutions was established in 2005 as a wholly owned subsidiary of BNP Paribas SA.
The company operates delivery centers in Bengaluru, Chennai and Mumbai and provides services across BNP Paribas business lines including Corporate and Institutional Banking, Investment Solutions and Retail Banking.
According to the job description, BNP Paribas India Solutions has more than 10,000 employees supporting global operations and technology solutions.
Why Apply for the BNP Paribas Data Science Internship?
This internship can provide candidates with practical exposure to data science and AI applications in a global banking environment.
The role combines Python, statistics, machine learning, data analysis and AI technologies with real-world business problems. Candidates can also gain experience working with diverse datasets and developing models that are connected to business use cases.
The position may be particularly relevant for students or recent graduates interested in Data Science, Machine Learning, Artificial Intelligence, Quantitative Finance and Financial Technology.
How to Apply for BNP Paribas Data Science Intern 2026?
Interested and eligible candidates can apply for the Data Science Intern position through the official BNP Paribas careers application process.
Before applying, candidates should review the complete job requirements and ensure that their educational background and technical skills match the requirements mentioned in the job description.
Job Reference: 612345678901012216
Location: Bengaluru, Karnataka, India
Position: Data Science Intern
Final Conclusion
The BNP Paribas Data Science Intern position in Bengaluru is a 6-month full-time internship opportunity within the Global Markets – Data & AI Lab. The role focuses on data exploration, statistical analysis, machine learning, predictive modeling, data transformation and AI-related applications.
Candidates with a Bachelor’s or Master’s degree in STEM, strong Python skills, knowledge of statistics and machine learning, and an interest in Data Science and AI can consider this opportunity.
Interested candidates should apply through the BNP Paribas careers portal and check the latest job status before applying.
