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Ovations Technologies

Senior Data Scientist (JP5860)

Ovations Technologies Johannesburg, Gauteng, South Africa

IT Services and IT Consulting · 51-200 employees

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

You will design, train, and optimize machine learning and AI models using the Databricks platform to support banking operations. Additionally, you will build enterprise feature pipelines and ensure model governance, performance monitoring, and stakeholder collaboration.

What they look for

Databricks Python SQL Machine Learning Artificial Intelligence MLflow Feature Engineering Predictive Modelling Decision Science Data Governance Financial Services GenAI Delta Tables Model Monitoring Risk Modelling

Requirements

Candidates must hold a degree in a quantitative field such as Data Science, Computer Science, or Statistics. Proven experience in building customer or operational models within the financial services sector and proficiency in Databricks, Python, and SQL are required.

Full description

Role Overview

We are looking for a Senior Data Scientist,for our client in the banking sector, for a 12-month contract to build and optimize end-to-end machine learning, AI, and decisioning solutions across Personal & Private Banking (PPB) and Digital channels. Leveraging the Databricks platform, you will focus on feature engineering, predictive modelling, experimentation, and decision science to deliver scalable analytical assets.

Key Responsibilities

  • Model Development & GenAI: Design, train, and optimize ML/AI models (customer propensity, next-best-action, risk, fraud, and GenAI use cases) using Databricks and MLflow.
  • Feature Engineering & Governance:

Build and maintain reusable enterprise feature pipelines using Databricks Feature Store and Delta tables with full quality and lineage controls.

  • Decisioning & Optimization: Develop decision science models to enhance customer acquisition, engagement, cross-sell strategies, and operational outcomes.
  • Monitoring & Governance: Monitor model performance, stability, and drift; produce complete model documentation and governance artifacts for risk compliance.
  • Stakeholder Collaboration: Partner with PPB, Digital, Risk, and MLOps teams to translate business needs into production-ready analytical solutions.

Minimum Requirements

  • Education: Degree in Data Science, Computer Science, Engineering, Mathematical Statistics, Actuarial Science, Econometrics, or a quantitative field.
  • Databricks Stack: Hands-on experience using Databricks (Notebooks, Workflows, MLflow, and Feature Store/Delta tables).
  • Technical Skills: Strong proficiency in Python

and SQL for large-scale data manipulation and machine learning.

  • Domain Modelling: Proven experience building customer (propensity, next-best-action, retention) or operational/risk models in financial services.
  • End-to-End Execution: Demonstrated track record of feature engineering, model tuning, validation, governance, and productionizing models alongside engineering teams.

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