Enable job alerts via email!

Data Scientist

Telesure Investment Holdings (Tih)

Johannesburg

On-site

ZAR 500 000 - 700 000

Full time

Yesterday

Be an early applicant

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

Job summary

A leading financial services provider in South Africa seeks a Data Scientist to collect, analyze, and interpret data for business strategies. This role involves building predictive models, providing insights, and engaging with stakeholders to enhance profitability and client relationships.

Qualifications

3 to 5 years experience in analytics or data science.
Experience with statistical tools and packages.

Responsibilities

Employ machine learning techniques to achieve business performance indicators.
Prepare and coordinate data and analytics reports for top management.
Implement data analytic projects from start to finish.

Skills

Analytical Skills

Machine Learning

Statistical Analysis

Data Management

Project Management

Education

3-year degree in relevant fields

Master's Degree in relevant fields

Tools

Statistical Tools

Join to apply for the Data Scientist role at Telesure Investment Holdings (TIH)

Get AI-powered advice on this job and more exclusive features.

Join TIH, home to some of South Africa's leading financial service providers, and grow your career while being part of an organisation with purpose.

Job Purpose

Collect, analyse, 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 enhance relationships with clients and 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 identify business opportunities, linking insights to actionable recommendations.
Receive manager sign-off for the machine learning analytics.
Data Exploration: Perform complex statistical analysis and utilise mining, modeling, and testing techniques to enable data analysis.
Information and Business Advice: Provide specialist advice 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.
Assist in automating ongoing data and analytic reports.
Business Requirements Identification: Support collection of business requirements using methods like interviews, document analysis, and workflow analysis to express requirements clearly and succinctly.
Stakeholder Engagement: Assist with stakeholder engagement by arranging actions, meetings, events, and supporting materials to promote understanding and commitment.
Project Management: Work within an established project management plan to achieve goals. Implement data analytic projects from start to finish, manage stakeholders, and communicate project status.
Continuous Improvement: Review existing operations and generate ideas to identify improvements.
Data Management: Support others in data management, ensure data accuracy, and align with policies and procedures.
Personal Capability Building: Develop own skills through training, coaching, and ongoing education. Maintain understanding of relevant technology, regulation, and industry best practices.
Performance Management: Prioritise workflow, ensure standards of productivity, quality, and timeliness, and use performance systems for improvement.