Job Description
Our client is a powerhouse in South Africas retail and consumer finance sector with a datafirst mindset driving intelligent largescale decisionmaking. They blend retail scale with financial services impact and are building nextgen capabilities to transform customer engagement lending strategies and operational efficiency through advanced analytics and data science.
Join a fastmoving data science team that operates at the intersection of scale innovation and social impact. As Senior Data Scientist youll lead endtoend machine learning initiatives that power smarter credit and marketing decisions across millions of customers.
Youll go beyond building modelsyoull conceptualize solutions shape strategies deploy at scale and mentor others while working in a SQL Pythonbased environment. This is a leadershiptrack role offering visibility ownership and realworld impact in a collaborative and agile setup.
Responsibilities:
- Identify and prioritize business challenges solvable through machine learning with a focus on value creation.
- Evaluate feasibility of predictive prescriptive and cognitive analytics ideas and align them to strategic outcomes.
- Clean transform and structure large datasets using SQL and Python to enable model development.
- Create and manage feature stores and data pipelines for reusable analytics components.
- Develop and validate machine learning models for marketing and credit risk across the customer lifecycle.
- Optimize models for accuracy business relevance and operational efficiency.
- Design champion/challenger frameworks and decision strategies to operationalize models effectively.
- Collaborate with ML Engineers Risk and IT teams to deploy models and track their performance in production.
- Lead campaign performance reviews and automation strategies through advanced analytics.
- Mentor and coach junior data scientists contributing to a culture of knowledgesharing and innovation.
Requirements:
MustHaves:
- Degree in IT Mathematics Engineering Actuarial Science or related quantitative discipline.
- 5 years experience in a data science or decision science role.
- Proven experience building predictive models for credit risk or marketing using machine learning/statistical techniques.
- Proficiency in SQL and Python for data processing and modeling.
- Deep understanding of data visualization analysis and modeling techniques.
NicetoHaves:
- Experience with Microsoft BI tools (SSIS SSAS SQL Server).
- Familiarity with data warehousing best practices.
- Demonstrated leadership in mentoring and knowledgesharing.
- Background in campaign analytics or marketing automation.
Required Experience:
Senior IC