Highlights
Work on cutting-edge AI models, collaborate with experts, enhance business operations through data-driven solutions.
Description
Job Summary
pWe are seeking a highly motivated Data Science intern to join our Global Market Data and Artificial Intelligence Lab. This role involves exploring diverse data sources, developing predictive models, and enhancing risk management strategies.
Responsibilities
- Explore and examine data from various sources.
- Develop statistical analysis and predictive models.
- Cleanup and normalize large datasets.
- Conduct hypothesis testing and experiments.
Required Skills
- Data cleaning
- Predictive modeling
- Python programming
- Machine learning
- Statistical analysis
Required Skills Explained
- Education in data science with experience in solving complex problems.
- Knowledge of key concepts in Statistics and Mathematics such as Probability Theory, Inference, and Linear Algebra.
- Familiarity with Machine Learning procedures and tasks including Classification, Prediction, and Clustering.
- Programming skills in Python and knowledge of common numerical and machine-learning packages (NumPy, scikit-learn, pandas, Keras, TensorFlow, PyTorch, langchain).
- Aptitude for writing clear and concise code in Python.
- Critical thinking and problem-solving abilities.
- Intellectual curiosity and a willingness to learn new concepts daily.
- Involvement with the Data Science community through platforms such as Kaggle, Numerai, Open ML, or others.
- Knowledge of current Machine Learning/Artificial Intelligence literature.
Who is this for
pThis position is ideal for a data science intern who has a strong background in statistics and machine learning, with experience in Python and data cleaning techniques. A passion for solving complex problems and a knack for transforming raw data into valuable insights are essential.
Why This Job is a Good Opportunity
ulliWork on cutting-edge projects using advanced data science techniques and artificial intelligence.liA chance to collaborate with a team of highly skilled professionals in the field.liPotential for fast-paced learning and development as you contribute to real-world business solutions.liAn opportunity to work for a global financial institution known for innovation and social responsibility.liAccess to diverse data sets, enhancing your technical expertise and career prospects.
Interview Preparation Tips
- Review the job description thoroughly to understand the required skills and responsibilities.
- Prepare examples of how you have used Python and machine learning libraries in previous projects or studies.
- Highlight any experience with data cleaning, normalization, and transformation techniques.
- Discuss your understanding of statistical concepts and machine learning algorithms like Classification, Prediction, and Clustering.
- Bring a portfolio of relevant projects or assignments to showcase your skills.
Career Growth in This Role
pThe role offers significant opportunities for career growth within BNP Paribas India Solutions as well as the broader organization. Graduates can progress into more senior data scientist positions, lead projects, and even take on management roles over time. The exposure to complex business problems and cutting-edge technologies provides a strong foundation for advancing in data science or related fields.pWith BNP Paribas' global reach, employees also have the potential to move between different locations or subsidiaries, gaining diverse experiences and expanding their skill set. Additionally, the commitment to diversity and inclusion within the organization ensures an inclusive environment that supports personal and professional growth for all employees.
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Frequently Asked Questions
What are the responsibilities of an intern at BNP Paribas?Interns explore diverse datasets, develop statistical models, clean and normalize large amounts of data, and conduct hypothesis testing.
What kind of experience is expected from a Data Science Intern?Candidates should have experience in Python programming, data cleaning techniques, and predictive modeling.
How long is the internship period?The internship duration is 6 months, with flexible starting dates (the earlier the better).
