Junior Data Scientist at Telesure Investment Holdings (TIH)

Job Purpose

• Assist in collecting, analyzing, reporting, and interpreting 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. Assist in building and maintaining predictive and machine learning models with guidance from managers.

Responsibilities

Advanced and Predictive Analytics

• Run advanced and predictive analyses and perform model assessments, validation, and enhancement activities, using predictive analytics' software tools and functionalities. Receive manager sign-off for the machine learning analytics.

Data Exploration

Conduct research and select relevant information to enable analysis of key themes and trends using primary data sources and business intelligence tools to enable data analysis.

Information and Business Advice

• Resolve queries from internal customers by providing information on complex processes and the related policies, referring to others where necessary for interpretation of policy.
• Insights and Reporting
• Contribute to the preparation of various data and analytics reports. 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 assist in managing stakeholders throughout the project. Communicate the project status back to managers 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.

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)

General Experience

• 1 to 3 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)

• SAQA Accredited Equivalent* - It is the onus of the applicant to provide TIH and its subsidiaries with certified evidence that their qualification(s) meet the equivalent NQF level required for this role at time of application.