Jobs at 500 Global companies

Role Overview As a Data Scientist, you will build and deploy machine learning and computer vision models that power our motor insurance products, from automated damage assessment to claims triage and risk pricing. Based at our Eastern Region office, you'll work closely with cross-functional teams in a HYBRID environment to turn data into production-grade capabilities, improve decision accuracy, and drive analytical excellence within our organization. Responsibilities Develop, train, and deploy computer vision models for motor use cases such as vehicle damage detection, severity estimation, part identification, and image fraud checks. Build predictive models supporting claims triage, loss ratio forecasting, reserving, pricing, and fraud detection. Design and maintain data pipelines for image, telematics, policy, and claims datasets, including labelling workflows and dataset quality controls. Partner with claims, underwriting, and product teams to frame business problems as measurable data science problems. Evaluate model performance in production, monitor for drift, and run experiments and A/B tests to validate impact. Work with engineering to productionize models through APIs, containerized services, and cloud ML tooling. Translate model outputs into clear insights and recommendations for business and management stakeholders. Prepare detailed reports, dashboards, and analytics for management review. Document methodology, assumptions, and model governance artefacts in line with regulatory and internal standards. Must have requirements Proven experience as a Data Scientist delivering models into production, not only research or proof-of-concept work. Hands-on computer vision experience, including deep learning frameworks such as PyTorch or TensorFlow and practical work with image datasets, detection, segmentation, or classification. Experience in the insurance sector, with a solid understanding of claims, underwriting, or pricing data. Demonstrated motor or automotive related project experience, for example vehicle damage assessment, telematics, driver behaviour, repair cost estimation, or accident analysis. Strong Python skills and proficiency with the standard data stack, including pandas, NumPy, scikit-learn, and SQL. Strong analytical, problem-solving, and statistical reasoning skills. Outstanding communication abilities, including the ability to explain technical work to non-technical stakeholders. Nice to have requirements Experience with cloud ML platforms on GCP or Azure, including Vertex AI or Azure ML. Familiarity with MLOps practices, model monitoring, versioning, and CI/CD for models. Experience with vision-language models, OCR, or document intelligence for claims processing. Exposure to model governance, explainability, and regulatory expectations for AI in insurance. Background in geospatial data, telematics, or IoT sensor data. Arabic and English fluency. Perks and Benefits Employee Stock Ownership Plan (ESOP). Flexible hybrid work arrangements. Opportunities for career growth and professional development. Collaborative, innovative work culture.

Role Overview As a Software Engineer, you will design, build, and ship full-stack features across our web and mobile products. Based at our Eastern Region office, you'll work closely with cross-functional teams in a HYBRID environment to deliver reliable, performant software, raise engineering standards, and drive technical excellence within our organization. Responsibilities Build and maintain backend services and APIs in Python, with a focus on reliability, performance, and clean architecture. Develop responsive web interfaces in React and cross-platform mobile features in React Native. Design and evolve data models, database schemas, and integrations with third-party services. Deploy, monitor, and scale applications on GCP or Azure, including CI/CD pipelines and containerized workloads. Write automated tests and participate in code reviews to maintain code quality and system stability. Troubleshoot and resolve production issues, including on-call rotation participation as needed. Collaborate with product, design, and business stakeholders to translate requirements into technical solutions and realistic delivery plans. Identify and implement improvements to architecture, tooling, and development workflows. Document technical decisions, APIs, and system behaviour for the wider team. Must have requirements Proven experience as a full-stack software engineer, with strong capability across both backend and frontend development. Solid production experience with Python and at least one modern backend framework (e.g. Django, FastAPI, Flask). Strong hands-on experience with React, and practical experience building or maintaining React Native applications. Working experience with a major cloud platform, either GCP or Azure, including deployment, networking basics, and managed services. Strong understanding of relational and/or NoSQL databases, API design, and version control with Git. Strong analytical, problem-solving, and debugging skills. Ability to work independently and take ownership of features end to end in a fast-moving environment. Outstanding communication and collaboration abilities. Nice to have requirements Experience with infrastructure-as-code (Terraform, Bicep), Docker, and Kubernetes. Exposure to event-driven architectures, message queues, or serverless patterns. Experience with mobile app store release processes for iOS and Android. Familiarity with observability tooling, performance profiling, and cost optimization in the cloud. Experience in fintech, insurtech, or another regulated domain. Interest in AI/ML integration or working with LLM-based features. Perks and Benefits Employee Stock Ownership Plan (ESOP). Flexible hybrid work arrangements. Opportunities for career growth and professional development. Collaborative, innovative work culture.