Data Scientist
Telesure Investment Holdings (TIH) Johannesburg, Gauteng, South Africa
Insurance · 1,001-5,000 employees
About the role
The Data Scientist will collect, analyze, and interpret data to develop business strategies and improve profitability. They are responsible for building predictive and machine learning models while managing stakeholder engagement and reporting.
What they look for
Requirements
Candidates must hold at least a 3-year degree in a quantitative field such as Information Technology, Statistics, or Mathematics. A minimum of 3 to 5 years of experience in an analytical or data science environment is essential.
Full description
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 improves relationship's 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 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 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. 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.
Stakeholder Engagement
Assist with stakeholder engagement by arranging actions, meetings, events, and supporting materials to promote stakeholder understanding and commitment.
Project Management
Work within an established project management plan to achieve specific goals. Implement data analytic projects from start to finish and manage stakeholders throughout the project. Communicate the project status back to business or within the team.
Continuous Improvement
Contribute to reviewing existing operations in own area of work and generate new ideas to assist in identifying continuous improvements.
Data Management
Help others get the most out of data management systems by providing support and advice. Ensure that data is accurate and is aligned to policies and procedures set out by TIH.
Personal Capability Building
Develop own capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching; gain or maintain external professional accreditation where relevant to improve performance and fulfill personal potential. Maintain an understanding of relevant technology, external regulation, and industry best practices through ongoing education, attending conferences, and reading specialist media.
Performance Management
Prioritise own workflow and ensure work is completed to the required standards of productivity, quality and timeliness; use performance management systems to improve personal performance.
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
3 to 5 years working experience within an analytical, data science or computer science environment (Essential); Data analytics and optimisation using the latest statistical tools and packages (Essential); Experience in financial insurance environment (Advantageous).
Think you have what it takes to be part of an unstoppable team who constantly finds better ways to give peace of mind? Don't wait, apply now.
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