Job Description
πJob ID: 612345678901012216
π’Company: BNP Paribas India Solutions
πLocation: Bangalore, Karnataka, India π
πΌJob Type: Full-Time Internship π»
π’Work Mode: Work From Office π’
β³Experience: 0β1 Years π¨βπ»
πEducation: Bachelor’s or Master’s Degree in STEM Fields (Data Science, Computer Science, Mathematics, Statistics, Engineering, AI/ML, etc.) π
π°Expected Salary: βΉ30,000 β βΉ60,000 Thousand Per Month πΈ
πJob Category: Data Science, Information Technology, Engineering, Machine Learning, Artificial Intelligence, Analytics, Research, Data Engineering π
πWebsite: Website
πContact: Conatct us
πAbout the Company:
BNP Paribas is one of the world’s leading international banking and financial services organizations, operating across 65+ countries with approximately 185,000 employees worldwide π.BNP Paribas India Solutions serves as the global capability center for BNP Paribas and supports Corporate & Institutional Banking, Investment Solutions, and Retail Banking operations through technology, analytics, and innovation-driven solutions π.
π‘About the Role:
BNP Paribas is hiring Data Science Interns for its Global Markets β Data & AI Lab in Bengaluru π.As a Data Science Intern, you will work on real-world AI, Machine Learning, Predictive Analytics, Financial Modeling, and Generative AI projects. You will collaborate with researchers, traders, strategists, and data scientists to build intelligent solutions that improve financial services, risk management, client recommendations, and market intelligence.This internship offers an excellent opportunity to gain hands-on exposure to cutting-edge technologies including Machine Learning, Deep Learning, NLP, Generative AI, Transformers, and Large Language Models (LLMs).
πKey Responsibilities:
π Explore and analyze large datasets from multiple sources π
π Perform data cleaning, transformation, and normalization processes π§Ή
π Build predictive and machine learning models π€
π Conduct statistical analysis and hypothesis testing π
π Develop ETL workflows for data extraction and processing π
π Work on AI and Generative AI use cases π
π Assist in creating data-driven business insights π
π Ensure data quality, security, and integrity π
π Collaborate with global teams on innovative data science projects π€
π Participate in research and experimentation involving ML and AI models π§
π―Requirements:
π― 0β1 Years of Experience π¨βπ»
π― Bachelor’s or Master’s Degree in STEM-related fields π
π― Strong knowledge of Statistics, Probability, and Mathematics π
π― Understanding of Machine Learning concepts such as Classification, Clustering, and Prediction π€
π― Good Python programming skills π
π― Familiarity with Git Version Control π§
π― Strong analytical and problem-solving abilities π§
π― Passion for Artificial Intelligence and Data Science π
π― Ability to work with large datasets and extract meaningful insights π
π― Excellent communication and teamwork skills π€
πPreferred Skills:
β
Python Programming π
β NumPy, Pandas, Scikit-Learn π
β PyTorch, TensorFlow, Keras π€
β LangChain, Hugging Face, Unsloth π§
β Machine Learning & Deep Learning β‘
β Neural Networks and LLMs π
β Data Visualization π
β Git & Version Control π§
β Kaggle, OpenML, Numerai Participation π
β Financial Data Analytics πΉ
πInternship Highlights:
β
6-Month Internship Program π
β Work with Global Markets Data & AI Lab π
β Exposure to Real-World Financial AI Applications πΉ
β Hands-On Experience in Machine Learning & Generative AI π€
β Opportunity to Work with Industry Experts π¨βπ«
β Ownership of High-Impact AI Projects π
β Learn Advanced Data Science Technologies π
β Strong Career Growth Opportunities π
πWhy Join BNP Paribas?
β
One of the World’s Leading Banking Institutions π¦
β Global Exposure Across Financial Markets π
β Work on Advanced AI & Machine Learning Projects π€
β Collaborative and Innovation-Driven Environment π
β Opportunity to Build Strong Data Science Portfolio π
β Exposure to Real Business Use Cases πΌ
β Learn from Global Data Scientists and Researchers π¨βπ»
β Excellent Career Development Opportunities π