BNP Paribas Internship 2026 is now open! BNP Paribas is actively hiring a Data Science Intern for the Global Markets Data & AI Lab in Bengaluru. This is a wonderful opportunity for STEM students to build production-ready ML models, work with alternative data sources, and contribute to real trading and risk-management problems. The BNP Paribas Internship 2026 is a 6-month structured program with flexible start dates. Read on for full eligibility details and the application process.
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| Company | BNP Paribas India Solutions |
| Role | Data Science Intern |
| Location | Bengaluru, Karnataka |
| Eligibility | Bachelor’s or Master’s in any STEM field |
| Batch | 2025 / 2026 / 2027 |
| Salary | Competitive Stipend |
| Experience | Freshers / Students |
| Duration | 6 months (Flexible start date) |
| Apply Mode | Online |
| Last Date to Apply | Apply as soon as possible |
Job Summary
BNP Paribas Internship 2026 – Full Job Details
About BNP Paribas
BNP Paribas is the European Union’s leading bank and a key player in international banking, operating in 65 countries with nearly 185,000 employees worldwide. BNP Paribas India Solutions, established in 2005, is a wholly owned subsidiary that delivers global services from Bengaluru, Chennai, and Mumbai with over 10,000 employees. Joining BNP Paribas means contributing to financial innovation across Corporate & Institutional Banking, Investment Solutions, and Retail Banking.
Role Overview – Data Science Intern
The BNP Paribas Internship 2026 places you inside the Global Markets Data & AI Lab where you will build models that improve client services, anticipate needs, and leverage alternative data sources like social media, news, and images. As a Data Science Intern, you will take ownership of one or more topics and see your work used in real production by the business. The internship runs for 6 months with a flexible start date.
Key Responsibilities
- Data Exploration: Explore and examine data from multiple diverse data sources to surface patterns and insights.
- Modeling & Analysis: Conduct conceptual modeling, statistical analysis, predictive modeling, and optimisation design.
- Data Engineering: Help build workflows for extraction, transformation, and loading of data and link them to existing systems and datasets.
- Data Cleanup: Carry out data cleanup, normalisation, and transformation to prepare datasets for production use.
- Hypothesis Testing: Develop hypotheses and test them with careful experiments to validate model behaviour.
- Project Ownership: Take ownership of one or more LAB topics such as automated market commentary or generative modelling for model control.
- Data Security: Ensure the integrity and security of data handled within the lab.
Eligibility Criteria
- Educational Qualification: Bachelor’s or Master’s degree in any STEM field. Master’s preferred for advanced research roles.
- Programming Skills: Strong Python skills with familiarity in NumPy, scikit-learn, pandas, Keras, TensorFlow, PyTorch, and LangChain.
- Mathematics: Knowledge of Probability Theory, Inference, and Linear Algebra.
- Machine Learning: Experience with Classification, Prediction, and Clustering techniques.
- Tools: Familiarity with Git, Statistics, ML & NN model architectures, LangChain, Unsloth, HuggingFace, PyTorch, and Scikit-learn.
- Community Involvement: Active participation in Kaggle, Numerai, OpenML, or similar platforms is a strong plus.
Selection Process
The BNP Paribas Internship 2026 typically follows a structured selection process:
- Round 1 – Online Application: Resume screening based on academic background, projects, and Kaggle/OpenML profile.
- Round 2 – Technical Assessment: Python coding, ML, and statistics questions.
- Round 3 – Technical Interview: Discussion on past ML projects, model behaviour, and proposed lab topic.
- Round 4 – HR Interview: Behavioural questions, motivation, and start-date confirmation.
Salary & Benefits
BNP Paribas offers a competitive internship stipend with the option to convert into a full-time role for strong performers. Interns receive structured mentorship from senior data scientists and engineers, exposure to global capital markets, access to internal learning platforms, and the chance to publish work used directly in production. The role offers a strong launchpad for AI/ML careers in finance.
How to Apply for BNP Paribas Internship 2026
- Click the “Apply Now” button below.
- You will be redirected to the official BNP Paribas careers portal.
- Create a candidate account or sign in to your existing profile.
- Fill in the application form with academic and personal details.
- Upload your updated resume highlighting Python, ML, and any Kaggle work.
- Submit the application and note the reference ID 612345678901012216.
Note: freshershunt.in is a job information platform. We are not the recruiter. Always verify details on the official company careers page before applying.
Frequently Asked Questions – BNP Paribas Internship 2026
Q1. Who is eligible to apply for BNP Paribas Internship 2026?
Bachelor’s or Master’s students in any STEM field with strong Python skills, knowledge of statistics and machine learning, and familiarity with PyTorch, Sklearn, or HuggingFace can apply. Active Kaggle or OpenML profiles are a strong plus.
Q2. What is the stipend offered for BNP Paribas Internship 2026?
BNP Paribas offers a competitive stipend aligned with industry standards for data science interns in Bengaluru. The exact amount is shared with shortlisted candidates during the interview process.
Q3. What is the job location for this role?
The internship is based at the BNP Paribas India Solutions office in Bengaluru, Karnataka. It is a full-time onsite internship with a duration of 6 months.
Q4. What is the selection process for BNP Paribas Internship 2026?
The selection process generally includes an application review, a Python and ML technical assessment, a technical interview focused on past projects, and a final HR discussion.
Q5. What is the last date to apply for BNP Paribas Internship 2026?
The exact last date has not been announced. We recommend applying as soon as possible since data science internship seats fill quickly and shortlisting is on a rolling basis.
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