Data Scientist/Actuarial Analyst

SmartRecruiters, Inc.; Centurion; On-site; ZAR 350,000 - 520,000; Full time

Job summary

OUTsurance is looking for a highly analytical data professional to join our analytics team in Gauteng. You will collaborate with Operational Management and multiple stakeholders to drive data-driven decision-making and to support the execution of strategic projects that enhance performance and profitability.

The ideal candidate has a degree in actuarial science, data science or mathematical statistics, plus 2+ years of analytics experience and strong SQL/Excel skills.

Qualifications

• 2+ years of data analytics experience.
• Strong SQL and Excel skills.
• Actuarial, data science or statistics background preferred.
• CT Series completion advantageous.

Responsibilities

• Drive data-driven decision-making with stakeholders across IT, Digital, Actuarial and Operations.
• Build analytical solutions and predictive models to support business objectives.
• Translate analytical results into meaningful insights and actionable recommendations for decision makers.
• Participate in strategic projects aimed at improving operational efficiency and customer outcomes.

Skills

SQL

Excel

Data analytics

Stakeholder engagement

Education

Actuarial science degree

CT Series exams

Data science or statistics degree

Job description

OUTsurance has been propelling the South African insurance industry forward for the last 28 years. As leaders in the field, we’re always looking for innovative ways to create digitally-advanced solutions, without losing sight of our human values.

Our continued success can be attributed to outstanding employees who set the bar high with their energy and expertise. If you’re keen to grow your career in a vibrant environment with lots of ‘fun’, this could be the career opportunity you’ve been looking for.

Job Description

This role offers the opportunity to work closely with Operational Management and various business stakeholders to drive data-driven decision-making and support the successful execution of strategic projects.

The successful candidate will be part of a dynamic analytics team, contributing to high-impact projects aimed at enhancing operational performance, delivering world-class cost ratios, and maximizing profitable premium growth.

Responsibilities:

Passionate about linking our people, processes and systems to deliver awesome value for our staff, clients, shareholders and suppliers.

Building relationships and navigating a diverse range of stakeholders (IT, Digital, Actuarial, Operations) to deliver key results.

Achieve the above using our analytics toolset including:

• Analytics reports and cubes
• PBS & Manager Bonus - Salary structures
• Staff projections
• In depth data analysis of the value chain
• Translate analytical results into meaningful insights and actionable recommendations for decision makers
• Build, maintain and improve predictive models to support business objectives
• Participate in strategic projects aimed at improving operational efficiency and customer outcomes

The ideal candidate is highly analytical, naturally curious, and passionate about using data to solve business problems. They should be comfortable working with building analytical solutions and engaging with stakeholders across multiple business areas to drive meaningful business outcomes

Qualifications

• Actuarial science, Data science or Mathematical Statistics degree
• Completion of CT Series of actuarial board exams (advantageous)
• 2+ years of Data analytics work experience (advantageous)
• Strong SQL and Excel skills

Additional Information

At OUTsurance our value of HUMAN is more than just a poster on the wall. It’s a key part of our culture, we are committed to fostering an inclusive and diverse workplace that reflects the communities we serve. We actively encourage applications from persons with disabilities. In support of our Employment Equity objectives, we strive to create equal opportunities for all and welcome candidates from designated groups who meet the role requirements.