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Sabenza IT & Recruitment

Senior Data Scientist

Sabenza IT & Recruitment City of Johannesburg Metropolitan Municipality, Gauteng, South Africa

IT Services and IT Consulting · 11-50 employees

23 h ago
data-scientist Senior (5-10 yrs) Contractor South Africa
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About the role

Design, develop, and optimize machine learning and AI solutions to drive business outcomes across banking and digital channels. Partner with cross-functional teams to deliver scalable analytical assets and mentor junior data scientists.

What they look for

Databricks Python SQL Machine Learning MLflow Feature Engineering Generative AI LLMs Statistical Modelling Predictive Analytics Prescriptive Analytics Decision Science Experimentation Model Validation Data Visualisation Prompt Engineering

Requirements

Requires a degree in a quantitative field and strong hands-on experience with Databricks, Python, and SQL. Candidates must demonstrate expertise in machine learning model development and taking data science solutions from concept to production.

Full description

Job Purpose

To design, develop and optimise machine learning, AI and decisioning solutions that drive customer, risk and operational outcomes across Personal and Private Banking (PPB) and Digital channels.

Purpose

Apply advanced analytics, machine learning and AI techniques to solve business problems, improve customer experiences and support intelligent decisioning. The role focuses on feature engineering, model development, experimentation and decision science while leveraging the Databricks platform to deliver scalable and reusable analytical assets.

Requirements

What You’ll Do

  • Build and optimise ML models using Databricks, MLflow, Python & SQL
  • Develop customer, propensity, retention, risk, fraud and decisioning models
  • Build reusable features using Databricks Feature Store
  • Apply Generative AI & LLMs to innovative business use cases
  • Turn complex data into actionable insights and measurable business value
  • Partner with business, product, risk and technology teams
  • Mentor and inspire junior Data Scientists

What You Bring

  • Degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Actuarial Science, Econometrics or a related field
  • Strong hands-on Databricks + Python + SQL + Machine Learning experience
  • Experience taking data science solutions from concept to production
  • Strong statistical modelling, feature engineering and model validation skills
  • Commercial mindset with excellent stakeholder and communication skills
  • Master’s/PhD and relevant Databricks, Azure, AWS, GCP or SAS certifications are a plus.

​Your Tech Toolkit

You'll ideally bring strong hands-on experience with:

  • Databricks — Notebooks, Workflows, MLflow and distributed compute
  • Databricks Feature Engineering & Feature Store
  • Python & SQL
  • Machine Learning & Statistical Modelling
  • Predictive & Prescriptive Analytics
  • Decision Science & Optimisation
  • Feature Engineering & Feature Selection
  • Experimentation & Model Validation
  • Generative AI, LLMs & Prompt Engineering
  • Data Visualisation & Storytelling

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