Introduction Our client is seeking an outcome-driven Senior Data Scientist who transforms business challenges into AI-enabled solutions through rigorous analysis, machine learning expertise, and collaborative platform engineering!
Design and deploy production-ready ML models using Python, distributed data systems, and cloud platforms while building robust data pipelines that support analytics and AI use cases!
The ideal candidate is a pragmatic data scientist who works comfortably close to data pipelines and production constraints, excels at explaining models and uncertainty to business stakeholders, brings strong foundations in statistics and machine learning with Python expertise (pandas, scikit-learn, PyTorch/TensorFlow), collaborates naturally with platform and observability teams, and understands that trust, transparency, and governance are as important as model accuracy!
✅ Senior data science with ML, Python, and distributed data systems
✅ Hybrid and remote working flexibility with 1960 flexible annual hours
✅ AI solutions role with MLOps and data engineering capabilities
Position: Contract: 01 June 2026 to 31 December 2026
Experience: Senior Level With Production Ml Experience
Commencement: 01 June 2026
Location: Hybrid: Midrand/Menlyn/Rosslyn/Home Office Rotation
Duties & Responsibilities Role Requirements
Translate business problems into data-driven and AI-enabled solutions Perform exploratory data analysis to uncover patterns, issues, and opportunities Design, build, and maintain data pipelines to support analytics and modelling use cases Develop, train, evaluate, and iterate on machine learning and AI models Apply appropriate model evaluation techniques and define success metrics Support operational data workflows and resolve day-to-day data processing issues when required Produce clear dashboards, reports, and visualisations for stakeholders Communicate insights, model behaviour, and recommendations to both technical and business audiences Collaborate closely with data engineering, AI platform, and observability teams to productionise solutions Contribute to best practices around data quality, governance, and responsible use of AI
NB:
South African citizens/residents preferred. Valid work permit holders will be considered. By applying, you consent to be added to the database and to receive updates until you unsubscribe. If you do not receive a response within 2 weeks, please consider your application unsuccessful.
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Desired Experience & Qualification Qualifications / Experience
Is outcome-driven, not model-driven Is comfortable working close to data pipelines and production constraints Can explain models and uncertainty to business stakeholders Collaborates naturally with platform, AI engineering, and observability teams Understands that trust, transparency, and governance are as important as accuracy
Essential Skills Requirements
Data analysis, exploration, and feature engineering (EDA) Strong applied statistics and machine learning foundations Python-based data science and ML stack (e.g. pandas, NumPy, scikit-learn, PyTorch / TensorFlow) Data engineering skills: ETL design, batch and streaming data processing Experience with distributed data systems (e.g. Kafka, Spark or equivalent) SQL and structured / semi-structured data querying Experiment design, model evaluation, and validation techniques Dashboarding, reporting, and data visualisation for insights and decision support Business problem translation and requirements understanding Version control and collaborative development (Git)
Advantageous Skills Requirements
MLOps practices (model packaging, deployment pipelines, monitoring awareness) Data governance principles (data quality, lineage, ownership, compliance awareness) Model evaluation, performance tracking, and drift detection concepts Cloud-based data and ML environments (Azure / AWS) Generative AI and LLM-based solution experience (preferred, not essential) AI agent or advanced prompting familiarity Experience collaborating with observability and platform engineering teams Domain-specific knowledge aligned to business use cases
Interested? Feel free to also view our other opportunities > https://www.careers-page.com/isanqa
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