Senior Data Scientist: AI & Customer Decisioning Databricks

Indsafri; Johannesburg; On-site; ZAR 900,000 - 1,400,000; Full time

Job summary

Indsafri is seeking a senior data scientist to design and deploy machine learning, AI and decisioning solutions in PPB and Digital channels in South Africa. You will work on feature engineering, model development and governance using Databricks.

You will partner with PPB, Digital, Product and Risk teams to identify high-value opportunities, build reusable feature pipelines, monitor model quality and explore Generative AI use cases.

Qualifications

• Masters or Doctorate in a quantitative field.
• Strong experience on Databricks platform.
• Proficiency in Python and SQL.
• Experience with feature engineering and feature stores.
• Knowledge of Generative AI use cases.

Responsibilities

• Partner with PPB, Digital, Product and Risk teams to identify opportunities.
• Design, develop, train and optimise ML models using Databricks, MLflow and distributed compute environments.
• Develop customer propensity, next best action, next best product, customer value, retention and engagement models.
• Build and maintain reusable feature pipelines and govern enterprise features.
• Monitor model performance and conduct validation and governance artefacts.

Skills

Python

SQL

Machine Learning

Statistical Modelling

Feature Engineering

Experimentation

Generative AI

Stakeholder Management

Data Visualization

Model Validation

Education

Masters or Doctorate in quantitative field

Tools

Databricks Notebooks

Databricks MLflow

Databricks Feature Store

Delta Lake

Job description

Indsafri is seeking a senior data scientist to design and deploy machine learning, AI and decisioning solutions in PPB and Digital channels in South Africa. You will work on feature engineering, model development and governance using Databricks.

You will partner with PPB, Digital, Product and Risk teams to identify high-value opportunities, build reusable feature pipelines, monitor model quality and explore Generative AI use cases.