3-8 of experience with Python for data analysis and modeling.
Strong understanding of machine learning fundamentals , including supervised and unsupervised techniques.
Hands-on experience with ML libraries such as scikit-learn , pandas , and NumPy .
Comfortable working with real-world datasets, data cleaning, and preprocessing.
Curious, analytical mindset with a passion for solving research and data challenges.
Ability to break down problems, explore data patterns, and assist in delivering model-driven solutions.
Exposure to working with unstructured or semi-structured data (text, PDFs, etc.) is a plus.
Exposure to cloud platforms (AWS, GCP, Azure).
Familiarity or experience with GenAI tools such as LangChain , LangGraph , or CrewAI .
Understanding or hands-on experience with LLM-based projects .
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Full Stack Data ScientistEmployement Type: Full time