Description:
Duties:Clean, explore, and analyse large financial datasets (banks, insurers, investments). Use Python, R or SAS to uncover insights and support decision-making. Build and implement predictive models and machine learning solutions. Visualize data insights clearly for both technical and non-technical teams. Collaborate across teams to support financial consulting projects and reports. Keep learning through workshops, training, and a personal development plan.
Job Experience & Skills Required:
Qualifications:
Masters in Data Science or Analytics (PhD in progress is a plus).
Experience:
02 years of experience in data science and machine learning (bonus). Solid Python or R skills; comfort with libraries like pandas, NumPy, scikit-learn. Familiarity with cloud (AWS, Azure), big data (Spark, Hadoop), and BI tools (Tableau, Power BI). Understanding of financial modelling, ML, deep learning, and statistical analysis.
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07 May 2025;
from:
gumtree.co.za