Senior Data Scientist | Cape Town

Reference: ITA006466-Mel-1

We are seeking a highly experienced Senior Data Scientist to join a dynamic team based in Cape Town. The ideal candidate will have a strong background in advanced analytics, machine learning, cloud-based data platforms, and business intelligence, with a proven track record of delivering data-driven solutions that create measurable business value. Duties & Responsibilities ey Requirements

• 8+ years' experience in Data Science, Advanced Analytics, Machine Learning, or a related field.
• Strong hands-on experience with:
  • AWS (S3, Redshift, SageMaker, Lambda, Glue, or related services)
  • Snowflake
  • Python
  • SQL
  • Power BI
  • Machine Learning model development and deployment
• Experience building and deploying predictive, classification, clustering, and forecasting models.
• Strong understanding of data engineering concepts, data pipelines, and large-scale data processing.
• Proven experience working with structured and unstructured datasets.
• Experience translating complex business problems into practical analytical solutions.
• Strong stakeholder engagement and business partnering skills.

Responsibilities

• Design, develop, and deploy machine learning models to solve complex business challenges.
• Build scalable data science solutions leveraging AWS and Snowflake platforms.
• Develop and maintain advanced analytics, predictive models, and forecasting solutions.
• Create impactful dashboards and visualisations using Power BI.
• Perform data exploration, feature engineering, model tuning, and performance optimisation.
• Collaborate with cross-functional teams including Data Engineering, Product, and Business stakeholders.
• Ensure best practices around model governance, data quality, and documentation.
• Mentor junior team members and contribute to the overall data strategy.

Preferred Qualifications

• Degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
• Postgraduate qualification advantageous.
• AWS certifications highly beneficial.
• Experience with MLOps and model deployment frameworks advantageous.
• Exposure to AI, Generative AI, or NLP solutions would be beneficial.

Location

• Cape Town (Hybrid/Onsite)

Package & Remuneration Monthly