Responsibilities
Collect, clean, and organise large structured and unstructured datasets
Analyse data to identify trends, patterns, and insights
Build predictive models using machine learning algorithms
Create data visualisations and dashboards to communicate findings
Work with business teams to understand problems and provide data-driven solutions
Develop and test statistical models and experiments (A/B testing)
Improve data quality and ensure data integrity
Use data to support decision-making and strategy
Skills Required
Strong knowledge of Python or R
Understanding of statistics and probability
Data analysis and data manipulation (Pandas, NumPy)
Machine learning basics (regression, classification, clustering)
Data visualisation tools (Matplotlib, Seaborn, Tableau, Power BI)
SQL for database querying
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