Job Details

Data Scientist

About

Description

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 MiWay’s 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!

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

Qualifications

Minimum 3 years experience (4 years or more advantageous) in data science or data engineering roles
Bachelor’s degree in Actuarial Science, Mathematical Statistics, Data Science, Computer Science, or a related field (Essential) (Honours or Masters advantageous)
Python (Advanced) – Experience with machine learning libraries (Scikit-Learn, TensorFlow, PyTorch, XGBoost, Hugging Face, OpenCV)
C# (Advanced) – Strong understanding of Object-Oriented Programming (OOP) and clean coding principles
SQL (Advanced) – Experience with data processing, database management, and query optimization
Git Version Control (Advanced) – Experience in managing and collaborating on codebases
Power BI or similar visualization tools (Intermediate) – Experience in building real-time analytics dashboards 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)