An exciting opportunity exists for an Actuarial Data Scientist / Implementation Engineer to contribute to the successful delivery of advanced actuarial and analytics solutions. Our client is looking for an individual who can bridge the gap between technical implementation, data science, and business requirements.
Key Responsibilities
Participate in the deployment and enhancement of actuarial and analytical systems
Translate business requirements into practical technical solutions
Design and optimise data processes, workflows, and reporting structures
Perform data validation, testing, and quality assurance activities
Support project delivery through effective planning and execution
Work closely with cross-functional teams to ensure successful implementation outcomes
Identify opportunities to improve operational efficiency through automation and innovation
Assist with user support, training, and documentation
Requirements
Relevant qualification in Actuarial Science, Data Science, Statistics, Mathematics, Engineering, or a related discipline
Experience working within data analytics, actuarial, or technology-focused environments
Proficiency in SQL and exposure to modern programming languages such as Python or R
Strong understanding of data structures and database concepts
Excellent analytical thinking and attention to detail
Ability to manage multiple priorities and meet project deadlines
Strong interpersonal and communication skills
Only shortlisted candidates will be contacted. Submit your CV to or call XXX-XXXX. Visit our website for more exciting career opportunities: www.mspstaffingza.co Correspondence will only be conducted with short listed candidates. Should you not hear from us within 4 days, please consider your application unsuccessful.
Originally posted on WakandaJobs.com - Source: www.wakandajobs.com
