Data Science Manager Job in Randburg
Job Description
Data Science Manager Job. Introducing the Data Science Manager position, a pivotal role at the intersection of data analytics and strategic decision-making within our organization. This role involves leading a team of talented data scientists and analysts to extract insights from complex datasets, driving actionable recommendations to enhance business performance. Leveraging advanced analytical techniques and machine learning algorithms, the Data Science Manager plays a crucial role in shaping the organization’s data-driven approach to problem-solving and innovation. Joining this role presents an opportunity to harness the power of data to unlock new opportunities and drive sustainable growth.
Responsibilities of Data Science Manager Job
- Develop the valuation basis for new product launches while driving/building on the profitability of existing products.
- Drive the business successfully in the required direction while also supporting the long-term vision.
- Lead and grow the team.
- Drive the implementation and maintenance of the IFRS17 standard as well as provide technical support to finance and business on the actuarial assumptions underlying the model.
- Be accountable for the capital requirements on a quarterly and annual basis as required by the Prudential Authority and hence submitted for regulatory purposes.
- Be accountable for the insurance group-wide capital requirements in line with the regulatory requirements and submit the returns on a semi-annual basis.
- Project the actuarial sections of the financial budgets and re-forecasting on a monthly basis based on actuals to date and any revised expectations of future assumptions.
- Monitor reinsurance catastrophe exposures and implied capital requirements based on current reinsurance programs.
- Support of the product heads on actuarial matters related to product development and launches.
- Manage direct reports and provide knowledge support, guide, and serve as the first line of the review.
Requirements
- Have experience in SAS / SQL/ResQ coding (or other actuarial reserving software).
- Have experience in Stakeholder management including the relevant internal committees as well as regulatory and auditor engagements, while also supporting group-wide Projects.
- Have 6+ years of experience.
- Have a degree in Actuarial Science.
- Are a fellow or associate member of ASSA?
Skills
- Proficiency in data analysis tools and programming languages such as Python, R, or SQL.
- Strong understanding of statistical methods and machine learning algorithms.
- Experience in leading and managing a team of data scientists and analysts.
- Excellent communication and presentation skills to convey complex findings to non-technical stakeholders.
- Ability to translate business objectives into data-driven solutions and actionable insights.
- Advanced problem-solving abilities to tackle complex analytical challenges.
- Knowledge of data visualization techniques to effectively communicate findings and insights.
- Familiarity with big data technologies and platforms such as Hadoop, Spark, or AWS.
- Attention to detail and accuracy in data analysis and interpretation.
- Adaptability to evolving data science methodologies and tools.
