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Job Description

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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