Full-stack Engineer

• Design, develop, test, and deploy internal tools and customer-facing applications using Retool
• Maintain and enhance existing applications
• Collaborate with Product, QA, and Platform Engineering teams
• Work with AWS services to build and deploy cloud-native applications
• Write unit tests, integration tests, and end-to-end tests

Software Engineer

Data Scientist

• Develop, train, and deploy machine learning models for risk scoring, behavioural analytics, fraud detection and extreme event detection.
• Optimise feature engineering, model performance, and real-time inference pipelines for large-scale datasets.
• Work on supervised, unsupervised, and reinforcement learning models to enhance decision-making.
• Leverage telematics, mobility, and insurance data to generate actionable insights and product improvements.
• Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and business opportunities.
• Ensure robustness and scalability of data science pipelines, minimising bias and improving accuracy.
• Work with big data processing frameworks (Spark, AWS, Azure) to scale data pipelines.
• Ensure efficient data wrangling, transformation, and feature selection using Python, SQL, and distributed computing.
• Optimise data workflows and cloud-based machine learning architectures, ensuring efficiency and performance.
• Directly work with customers and partners.
• Prepare and deliver presentations, translating data science capabilities into real-world applications.
• Collaborate with Software Engineers to deploy models via APIs, microservices, or cloud environments.
• Collaborate with the wider Engineering team to integrate machine learning models into production-grade systems.
• Stay ahead of emerging AI, ML, and data science trends, integrating innovative techniques into IMS solutions.

Software Engineer

Senior Data Scientist