Why does MWDN rock? MWDN connects exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. We aim to ensure our employees enjoy a rewarding and secure experience while collaborating with prestigious international clients.
Here’s what you can expect when you get employed by MWDN: * Security first. We vet our clients to eliminate risks, ensuring reliability and timely payments for your hard work—no fraud or unforeseen events here! * Career support. If a match isn’t right, we’re here for you. We actively assist our employees in finding new opportunities that fit their skills and aspirations. * Legal assistance. We provide guidance on legal matters (e.g., opening and administering your private entrepreneur account, taxes, army enrollment, etc.). * Professional development. We offer English courses and other engaging activities, including team-building events.
Why choose us? MWDN is ranked among the top 5 IT employers in our region by DOU, and we pride ourselves on our transparency and commitment to our team. Curious to learn more? Discover what our employees say about us in their DOU reviews. What is your new project? * Domain: Cyber insurance * Location: Israel * Company size: 20+ employees * Founded in: 2017
What makes this project exciting? Our client enables insurers, brokers and agents to cyberprofile and benchmark the cyber insurance risk of small-medium businesses worldwide and to estimate the financial impact of cyber on their business using our unique Cyber Profiling technology. Their solutions for informed cyber underwriting, aggregated risk management, and digital customer enablement are used by leading companies in the US and Europe. What makes you a great fit * Proven experience as a Data Scientist * Strong mathematical background with ability to design and validate risk models * Good Python skills (Pandas & Numpy must have) * Machine learning experience, ideally applied to risk modeling or insurance contexts * Hands-on experience with Amazon SageMaker for building and deploying ML models * Strong English for clear communication and progress updates * Experience with cloud platforms, preferably AWS * Understanding of databases, preferably MongoDB * Experience with git, preferably GitHub
Nice to have: * Knowledge and hands-on experience with AI and Large Language Models (LLM) * Previous experience in insurance or financial risk modeling
Your day-to-day in this position * Build and refine risk models using Amazon SageMaker, applying advanced machine learning techniques * Work independently and solve problems without constant guidance * Communicate progress and issues clearly in English * Be hands-on and focus on practical implementation rather than management
Why work with us? * People-oriented management without bureaucracy * The friendly climate inside the company is confirmed by the frequent comeback of previous employees * Flexible working schedule * 26 paid time off (15 working days per year, plus 11 days — all national holidays) * 9 sick leave days * Full financial and legal support for private entrepreneurs * Free English classes with native speakers or with Ukrainian teachers (for your choice) * Dedicated HR
Our next steps ✅ Intro call with a Recruiter — ✅ Intro interview with the team — ✅ Client interview — ✅ Offer
