Support the Data Science team with the development of advanced analytics/machine learning/artificial intelligence initiatives
Analyze large and complex datasets to uncover trends and insights
Support the development of predictive models and machine learning workflows
Perform exploratory data analysis to guide product and business decisions
Collaborate with cross-functional teams, including product, marketing, and engineering
Assist with the design and maintenance of data pipelines
Clearly document and communicate analytical findings to technical and non-technical stakeholders
Basic Qualifications
Qualification in Data Science, Statistics, Computer Science, Mathematics, or a related field
Proficiency in Python and key data science libraries (e.g., pandas, NumPy, scikit-learn)
Operational understanding of machine learning principles and statistical modelling
Experience with SQL for data querying
Strong communication skills and a collaborative mindset
Preferred Qualifications
Exposure to cloud platforms such as AWS, GCP, or Azure
Familiarity with data visualization tools like Tableau, Power BI, or matplotlib
Participation in personal data science projects or online competitions (e.g., Kaggle)
Understanding of version control systems like Git
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