Data Science Solutions Engineer

The Data Science Solutions Engineer will work closely with clients to understand business challenges and design custom solutions using PathWise software. The role involves building and presenting proof-of-concept models, partnering with the sales team for technical pre-sales support, analyzing existing actuarial models and guiding optimization, serving as primary point of contact for complex technical issues, leading technical onboarding and training for new clients, and advocating customer feedback internally. The successful candidate will engage closely with business stakeholders to translate analytical requirements into robust, production-ready data solutions that support long-term organizational growth. This position also involves supporting knowledge-sharing sessions, contributing to internal best-practice documentation, and helping to build a culture of continuous learning within the data science team.

Bachelor's in quantitative field with 8+ years in quantitative analysis. Proven expertise in Monte Carlo Simulation and Python programming. Strong communication skills. Master's or PhD preferred. Experience with parallel processing, HPC architecture, and actuarial industry. Graduation Not Required. The ideal candidate will bring a proactive, solutions-oriented approach, strong organizational skills, and a commitment to delivering high-quality outcomes within agreed timelines. A strong customer-first attitude and willingness to travel to client locations as needed will be an added advantage for this role.