Data Scientist - Sandton at Sasria

Minimum Qualifications:

• Bachelor’s degree (Quantitative Management/Computer Science/Statistics/Applied Statistics/Applied Mathematics or related).
• Postgraduate degree in the abovementioned fields preferable.

Minimum Experience:

• 5-8 years practical experience in an analytical/quantitative environment.
• Insurance knowledge and experience will be an added advantage.
• Please note that preference will be given to people with disabilities.

Duties and Responsibilities

1. Operational Delivery

• Involvement in engagement with stakeholders to understand their business challenges and advise on practical analytics solutions.
• Collaborate with key stakeholders within the data value chain, external and internal, to ensure that the appropriated data sources and data structures are in place for building analytics solutions.
• Research, develop and implement appropriate statistical / mathematical / machine learning models as needed.
• Keep up to date with latest technology trends.
• Communicate results and ideas to key decision makers.
• To generate and maintain data assets and utilize these to develop descriptive analytics and predictive models.
• Use advanced analytics techniques to solve business problems in cooperation with business.
• Seek out initiatives to enhance Sasria’s capability in the data science field.

2. Business focused collaboration

• Contribute to the successful achievement of Sasria’s vision, strategy and business plan, by assisting with the resolution of problems that pose a threat to the Company of not achieving its vision, strategy and business plan.
• Responsible for considering key risks and broad based solutions for a number of key projects / issues within Sasria.
• Engage and facilitate discussions between claims, underwriting and finance departments providing insight into trends emerging from reserving and capital modelling activities.

3. Strategic Involvement

• Contribute to Sasria’s long term strategy and short-term business plan.
• Contribute to the Business Intelligence strategy and departmental plans.

4. People Focus

• Managing own career by being accountable for one’s behavior, performance and development.
• Managing junior team members (e.g. Interns) performance to achieve individual and organization goals and objectives.