Actuarial Analyst at MiWay Insurance Limited April, 2025

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.

Education and Qualifications

• Minimum 2 years’ experience (3 years or more advantageous)
• Bachelor’s degree in Actuarial Science, Mathematical Statistics, Data Science, Computer Science, or a related field (Essential)

Programming Skills

• 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)

Key Competencies and Attributes

• 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.