Job Description
Key Responsibilities:
- Assist with data preparation and conduct basic analytical tasks.
- Support the development and validation of analytical models.
- Design and maintain reports and dashboards to present insights.
- Extract, process, and analyze data using structured queries.
- Contribute to generating business insights and documenting findings.
- Continuously learn and apply new analytics and AI tools as required.
Key Requirements:
- Bachelor’s degree in computer science, Data Science, AI/ML, Engineering, or a related field.
- Additional certification or postgraduate qualification in Data Science/Analytics is preferred.
- Proficiency in Python for data analysis (Pandas, NumPy, Matplotlib/Seaborn, scikit-learn).
- Working knowledge of machine learning algorithms (Regression, Decision Trees, Random Forest, SVM, KNN, Clustering).
- Experience with SQL/PostgreSQL for data querying.
- Familiarity with data visualization tools such as Power BI or Tableau.