Job Description
I’m looking to connect with Data Scientists who have proven experience applying machine learning, AI, and statistical modelling within banking or financial services environments. By partnering with me, you’ll be considered for multiple high-impact upcoming projects.
Key Responsibilities:
- Analyse large-scale financial datasets to uncover trends, risks, and opportunities.
- Design, develop, and deploy AI and machine learning models for financial use cases.
- Build predictive models for credit risk, fraud detection, customer segmentation, and forecasting.
- Apply statistical modelling and time-series analysis to financial data.
- Work with structured and semi-structured data across multiple financial systems.
- Deploy models into production and monitor performance and model drift.
Job Experience and Skills Required:
Education:
- Degree in Mathematics, Statistics, IT, Data Science, Computer Science, or related quantitative fields.
- AWS Certified Data Analytics or Microsoft Certified: Azure AI Engineer Associate or Databricks Data Scientist Professional Certifications are advantageous.
Experience:
- 3+ years experience as a Data Scientist, preferably within Finance or Banking.
- Strong experience with Python (Pandas, NumPy, Scikit-learn).
- Hands-on experience with Machine Learning and AI techniques.
- Exposure to Deep Learning, NLP, or Generative AI / LLMs (advantageous).
- Strong SQL skills and experience working with large financial datasets.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Experience deploying models via APIs or into production environments.
- Understanding of MLOps, model governance, and regulatory considerations.
Apply now!
For more exciting IT vacancies, visit: .za
I also specialise in recruiting within the following fields:
AI & Machine Learning | Data Science | Advanced Analytics | Cloud & DevOps | Software Engineering
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