Posted on: 12/12/2025
Description :
Responsibilities :
- Collect, clean, and prepare structured/unstructured data for analysis.
- Develop predictive and statistical models using machine learning techniques.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Build, test, and optimise ML models for accuracy and performance.
- Create dashboards, reports, and data visualisations for stakeholders.
- Collaborate with engineering, product, and business teams to implement data-driven solutions.
- Deploy models into production and monitor model performance.
- Ensure data accuracy, security, and quality across all projects.
Requirements :
- Bachelor's/Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
- Strong knowledge of Python, R, SQL, and data manipulation tools.
- Hands-on experience with ML libraries (Scikit-learn, TensorFlow, PyTorch).
- Strong understanding of statistics, probability, and predictive modelling.
- Experience with data visualisation tools (Power BI, Tableau, Matplotlib, Seaborn).
- Familiarity with cloud platforms (AWS, GCP, Azure) is a plus.
- Excellent analytical thinking and problem-solving skills.
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