Data Scientist

Key Responsibilities:

• Analyse datasets, identify data quality issues and prepare data for modelling.
• Perform feature selection, preprocessing and exploratory data analysis.
• Develop, train, validate and evaluate machine learning models.
• Apply classification, regression and ensemble techniques.
• Perform hyperparameter tuning, cross-validation and model performance analysis.
• Integrate models into existing Python applications and maintain documentation.

Required Skills:

• Strong Python programming skills, including pandas, NumPy and scikit-learn.
• Practical knowledge of statistical analysis and machine learning algorithms.
• Experience with logistic regression, decision trees, random forests and ensemble methods.
• Knowledge of feature selection, cross-validation, hyperparameter tuning and class imbalance handling.
• Familiarity with Excel / CSV datasets.
• Strong analytical, problem-solving and communication skills.