Job Responsibility:

1. Data Science & Modelling

• Independently complete end-to-end data science projects including data collection, analysis, and Modelling.
• Conduct exploratory data analysis to uncover trends and patterns.
• Develop, evaluate, and refine machine learning models to improve predictive accuracy.
• Experience working with LLMs and using traditional NLP techniques.

2. Insight Generation & Communication

• Extract actionable insights from complex datasets and communicate findings effectively.
• Present results using clear visualizations and storytelling techniques.
• Support decision-making through data-backed recommendations.

3. Collaboration & Integration

• Work closely with data engineering teams to ensure seamless data pipeline integration.
• Collaborate with cross-functional stakeholders to understand business needs and translate them into analytical solutions.
• Assist in documentation and knowledge sharing across teams.

4. Tools & Technology

• Utilize Python and data science libraries (e.g., pandas, scikit-learn, matplotlib) for analysis and Modelling.
• Work within Databricks or similar cloud-based environments.
• Use SQL for data extraction and transformation.