Data Scientist at Telesure Investment Holdings (TIH)

JOB PURPOSE

Collect, analyze, report, and interpret data for use in the development of business strategies, extract quantifiable insights from past trends and current conditions to increase TIH's profitability and improves relationships with client sand stakeholders. Build and maintain predictive and machine learning models with guidance from managers.

RESPONSIBILITIES

Advanced and Predictive Analytics

• Employ machine learning techniques and build predictive, descriptive, and behavioral models to help achieve various business performance indicators and to help identify business opportunities, linking insights to actionable recommendations. Receive manager sign-off for the machine learning analytics.

Data Exploration

• Perform complex statistical analysis and utilize mining, modeling, and testing techniques to enable data analysis.

Information and Business Advice

• Provide specialist guidance on the interpretation and application of policies and procedures, resolving queries and issues and referring very complex or contentious issues to others.

Insights and Reporting

• Prepare and coordinate the completion of various data and analytics reports for top management. For ongoing reporting to business, assist in the automation of the various data and analytic reports.

Business Requirements Identification

• Support collection of business requirements using a variety of methods such as interviews, document analysis, and workflow analysis to express requirements clearly and succinctly

Requirements

General Education

• Grade 12/ SAQA Accredited Equivalent (Essential)
• 3 year degree in Information Technology / Sciences / Informatics / Applied Mathematics / Statistics / Quantitative sciences / Actuarial sciences / Data Mining / Economics (Essential)
• Master’s degree in information technology / sciences / informatics / applied mathematics /Statistics / Quantitative sciences / Actuarial sciences / Data Mining / Economics (Advantageous)

EXPERIENCE

General Experience

• 3 to 5 years working experience within an analytical, data science or computer science environment (Essential)
• Data analytics and optimization using the latest statistical tools and packages (Essential)
• Experience in financial insurance environment (Advantageous)