Senior Data Scientist

Recruiter:

Mindworx Consulting

Job Ref:

REC000613/MNS

Date posted:

Tuesday, October 6, 2026

Location:

Johannesburg, South Africa

SUMMARY:
As a Senior Data Scientist, you will design, train, and optimise scalable machine learning and decisioning models while building reusable feature assets on Databricks. You’ll partner closely with Product, Risk, and ML Engineering teams to take complex predictive, prescriptive, and GenAI models from initial EDA to productionized enterprise decision systems.

POSITION INFO:
The Tech Stack Deep-Dive Core Environment & Platforms Databricks (Notebooks, Workflows, Feature Store, Delta Lake) MLflow (Model Tracking, Registry, Governance) Languages & Data Wrangling Python SQL Must-Haves ML & Decision Science: Hands-on experience developing customer propensity, Next Best Action, retention, risk, or fraud models. Feature Engineering: Strong experience building, governing, and documenting enterprise feature pipelines within a Feature Store. Validation & Monitoring: Proven track record in statistical experimentation, hypothesis testing, drift detection, and model calibration. Nice-to-Haves Generative AI & LLMs: Prompt engineering, document intelligence, or knowledge-assistant use cases. Certifications: Databricks Certified ML\/Data Engineer, Azure AI, AWS\/GCP AI\/ML, or SAS Data Scientist. Education: Master's or PhD in a quantitative field (Computer Science, Data Science, Stats, Math, Econometrics). Key Responsibilities (Keep it brief) Architect Models & Feature Stores: Design production-ready ML and decisioning models, defining reusable enterprise feature standards in the Databricks Feature Store. Drive Decisioning & Optimisation: Develop predictive\/prescriptive engines for Next Best Action, cross-sell, and risk management across PPB & Digital. Govern & Productionise: Partner with ML Engineers to deploy models, track experiments via MLflow, and establish automated drift and performance monitoring frameworks. Technical Leadership: Mentor junior data scientists, establish modelling standards, and translate complex business requirements into high-impact AI solutions. Why Join Us? High-Impact Architecture: Build AI models operating at massive transactional and digital scale, seeing your code directly drive real business outcomes. Modern Stack: Leverage a state-of-the-art enterprise ML platform centered around Databricks, MLflow, and Delta Lake. Growth & Mentorship: Lead technical standards and mentor talent in an outcome-focused, highly collaborative engineering culture.

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