MiWay is a direct financial services company. We are passionate about service excellence, convenience and offering our clients superior value products. Our Vision is to be a world-class direct financial services business that offers a complete array of services under one convenient umbrella all managed online. We are positive that with the right people on board, we will continue to grow and give our clients the freedom to do things their way free from worry and most importantly at peace with all the what-ifs of the world. Company values that every employee subscribes to are: Energy, Freedom, Accountability and Attitude. The ideal candidate is one who has the courage to be bold and subscribes to MiWays core values! Do you have a positive attitude, love a challenge, treat your colleagues with respect and look for solutions, not problems? If yes, then MiWay is the place for you!
Job Description
We are seeking a highly analytical and technically proficient Actuarial Analyst / Data Scientist to join our Actuarial: Telemetry Solutions team. This role will focus on leveraging Telematics data, AI models, and Actuarial techniques to enhance pricing models, risk assessment, and claims management strategies. The ideal candidate will work with large-scale datasets, build predictive models, and develop cutting-edge AI solutions, including LLMs and computer vision models, to drive innovation in our department.
Key Responsibilities
- Analyse and process Telematics data to extract meaningful insights for pricing, underwriting, and claims optimization.
- Develop and implement machine learning models, including LLMs and computer vision models.
- Build and optimize usage-based insurance (UBI) products by integrating Telematics and AI-driven insights into actuarial pricing models.
- Automate data processing tasks using Python, SQL, and C#, ensuring scalable and efficient systems.
- Design and implement robust software solutions, applying clean code principles and best practices.
- Collaborate with cross-functional teams, including Software Developers, Actuarial, and Product teams, to integrate AI and Telematics-driven insights into strategic decision-making.
- Develop and maintain APIs and containerized applications using Docker for real-time analytics and predictive modelling.
- Assist in monitoring and validating predictive models to ensure optimal performance in production environments.
- Create interactive dashboards and reporting tools using Power BI to track key performance metrics.
- Stay updated with emerging trends in technology and AI to continuously improve methodologies.
- Minimum 2 years experience (3 years or more advantageous)
- Bachelors degree in Actuarial Science, Mathematical Statistics, Data Science, Computer Science, or a related field (Essential)
- Python (Advanced) Experience with machine learning libraries (Scikit-Learn, TensorFlow, PyTorch, XGBoost, Hugging Face, OpenCV). (Essential)
- C# (Advanced) Strong understanding of Object-Oriented Programming (OOP) and clean coding principles. (Essential)
- SQL (Advanced) Experience with data processing, database management, and query optimization. (Essential)
- Git Version Control (Advanced) Experience in managing and collaborating on codebases. (Essential)
- Power BI or similar visualization tools (Intermediate) Experience in building real-time analytics dashboards (Essential)
- LLMs and Computer Vision Models (Intermediate to Advanced) Working knowledge and experience developing and deploying large language models (ChatGPT, Llama, BERT) and image-processing models (Advantageous).
- Docker (Intermediate to Advanced) Experience with containerizing applications for scalable and efficient deployment (Advantageous)
- Strong analytical and problem-solving skills, with the ability to derive actionable insights from extremely large datasets.
- Solid grasp of OOP concepts, software engineering principles, and API development.
- Passion for applying AI-driven solutions, including LLMs and computer vision applications in insurance.
- Self-motivated and capable of working independently while collaborating effectively with cross-functional teams.
- Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Work at the cutting edge of AI and Telematics, shaping the future of insurance.
- Be part of a highly skilled, innovation-driven team that values continuous learning.
- Gain exposure to AI and big data, while applying statistical principles in production systems.
Actuarial Problem Solving
Issues management
Attention to detail and accuracy
Personal Attributes
Self-development - Contributing independently
Interpersonal savvy - Contributing independently
Nimble learning - Contributing independently
Tech savvy - Contributing independently
Build a successful career with us
Were all about building strong, lasting relationships with our employees. We know that you have hopes for your future your career, your personal development and of achieving great things. We pride ourselves in helping our employees to realise their worth. Through its five business clusters Sanlam Fintech, Sanlam Life and Savings, Sanlam Investment Group, Sanlam Allianz, Santam, as well as MiWay and the Group Office the group provides many opportunities for growth and development.
Core Competencies
Cultivates innovation - Contributing independently
Customer focus - Contributing independently
Drives results - Contributing independently
Collaborates - Contributing independently
Being resilient - Contributing independently
Turnaround time
The shortlisting process will only start once the application due date has been reached. The time taken to complete this process will depend on how far you progress and the availability of managers. Deadline to apply: 20 April 2025.
Our commitment to transformation
At MiWay we believe in cultivating a positive and dynamic working environment that gives you freedom and opportunity to succeed. MiWay is committed to transformation and embracing diversity. This is what drives us to achieve a multicultural workplace with employment equity as a key goal to create an inclusive workforce, reflective of the demographics of our society.
