Data Science Intern
BNP Paribas
Bengaluru, Karnataka, IndiaFresher4m agovia LinkedIn
This job at a glance
- Who can apply
- Freshers and up to 1 year · Bachelor's degree
- Must know
- Customer serviceStatisticsPythonGitMachine learningPyTorch
- Work
- On-site in Bengaluru · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python30%Statistics23%Customer service3%of 30 similar fresher jobs posted in India this week
- Listed
- 9 Nov 2026 · still open
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About the Role
The Data Science Intern will participate in the life of the Data & AI Lab within Global Markets, taking ownership of one or more topics. The role involves building models to improve client service, help traders manage risks, and leverage alternative data for strategists.
Key Responsibilities
- Explore and examine data from multiple diverse data sources.
- Conceptual modeling, statistical analysis, predictive modeling, and optimization design.
- Data cleanup, normalization, and transformation.
- Hypothesis testing: develop hypotheses and test with careful experiments.
- Build workflows for extraction, transformation, and loading of data from various sources, enabling linkage to existing systems and datasets.
- Ensure the integrity and security of data.
Potential Project Examples
- Prediction of which products are most likely to be interesting for a given client.
- Automated Generation of Market Comment.
- Optimal Risk Management of Interest Rates Swap Risk.
- Regime disentanglement for financial mixture of experts models.
- Generative modelling for model control.
- Transformers for quantitative investment strategies.
Requirements & Tech Stack
- Programming Skills: Python, Git
- Data Science & ML: Statistics, ML & NN model architectures, langchain / unsloth / huggingface, Pytorch, Sklearn
- Knowledge: Machine Learning procedures and tasks (Classification, Prediction, Clustering), Statistics and Mathematics concepts (Probability Theory, Inference, Linear Algebra), current Machine Learning/Artificial Intelligence literature.
- Packages: NumPy, scikit-learn, pandas, Keras, TensorFlow, PyTorch, langchain.
Qualifications
- Education in data science with experience in solving complex problems and understanding model mechanics.
- Intellectually curious and willing to learn challenging concepts.
- Involvement with the Data Science community (e.g., Kaggle, Numerai, Open ML).
- Ability to write clear and concise code in Python.
- Behavioral Skills: Good communication skills, Critical thinking, Ability to Collaborate / Teamwork, Attention to detail / rigor.
Education Level
- Bachelor’s or Master’s in any of the STEM fields.
Internship Details
- Duration: 6 Months
- Start Date: Flexible (the earlier the better)