Data Science Intern

BNP Paribas is the European Union’s leading bank and a global financial services powerhouse with a presence in 65 countries. The Group operates across three core business lines – Commercial & Personal Banking, Investment & Protection Services, and Corporate & Institutional Banking – serving individuals, SMEs, corporates and institutional clients. In India, BNP Paribas India Solutions, a wholly‑owned subsidiary, delivers technology and analytics services from delivery centres in Bengaluru, Chennai and Mumbai, supporting the Group’s worldwide operations.

The company prides itself on a strong culture of diversity, inclusion and sustainable growth, encouraging employees to innovate while maintaining a balanced work‑life environment.

The Data Science Intern role sits within the Global Markets – Data & AI Lab, a cutting‑edge team that builds predictive models, leverages alternative data sources and creates AI‑driven solutions for traders, strategists and client‑facing teams. Interns get to work on real‑world problems that directly impact the bank’s trading desks and client services, from product recommendation engines to automated market commentary generators. The lab encourages rapid experimentation, hypothesis‑driven research and close collaboration with business users, ensuring that the models built are not only technically sound but also actionable in a live trading environment.

Key responsibilities include

• Exploring and extracting data from heterogeneous sources such as market feeds, social media, news APIs and internal databases.
• Cleaning, normalising and transforming raw data to create robust analytical datasets.
• Conducting statistical analysis, hypothesis testing and exploratory data analysis to uncover patterns and insights.
• Designing, training and evaluating machine‑learning models for classification, regression, clustering or generative tasks.
• Building end‑to‑end pipelines for data ingestion, feature engineering, model training and deployment using Python and modern ML libraries.
• Documenting model assumptions, performance metrics and limitations for business stakeholders.
• Collaborating with senior data scientists, traders and product owners to translate business problems into analytical solutions.
• Ensuring data security, compliance and governance throughout the workflow.
• Presenting findings and prototypes in clear, visual formats and gathering feedback for iterative improvement.
• Taking ownership of at least one research topic – such as interest‑rate swap risk optimisation or transformer‑based investment strategies – and delivering a proof‑of‑concept within the internship period.

The technical stack revolves around Python (NumPy, pandas, scikit‑learn, PyTorch, TensorFlow, Keras), version control with Git, and emerging tools like LangChain, HuggingFace models and unsloth for large‑language‑model integration. Familiarity with cloud platforms (AWS/GCP) and containerisation (Docker) is a plus.

Growth prospects are strong: high‑performing interns may receive a full‑time offer, joining a vibrant community of data scientists and AI engineers, with clear pathways to senior analyst, data scientist, or AI research roles. BNP Paribas also invests heavily in continuous learning, offering internal training, certifications and exposure to global financial markets.

Why join? You will be part of a prestigious international bank that values innovation, diversity and sustainability. The internship offers hands‑on experience with real financial data, mentorship from seasoned professionals, and the chance to see your models deployed in live trading environments – a rare opportunity for fresh graduates eager to launch a career in data science within the finance sector.