Data Science Trainee

Skills:

What You'll Do:

• Work on structuring and planning system components for data-driven projects, including considerations for data privacy.
• Create and manage synthetic datasets to improve model performance and ensure data utility.
• Build, train, and tune Machine Learning (ML) models for various real-world applications.
• Assist with deploying models and applications on cloud platforms such as AWS.
• Collaborate with other interns and engineers on data science solutions and integrations, with an emphasis on ethical AI and compliance.
• Contribute to supporting dashboards or predictive analytics initiatives.

What You Should Bring:

• Good grasp of Python and hands-on experience with libraries like Pandas, NumPy, and Scikit-learn.
• Basic knowledge of machine learning algorithms and their use cases.
• Some exposure to AWS (S3, EC2, or SageMaker is a bonus).
• Strong analytical thinking, a passion for AI/ML, and an interest in solving real-world problems using data.
• Team player attitude with strong curiosity and willingness to learn.
• Bonus: Any past projects in model deployment or synthetic data generation.
• Motivated to learn and adapt without constant supervision.