Location: Remote

Employment Type: Full Time

Team: Solutions

About One Concern

One Concern brings disaster science together with machine learning for better decision-making. We quantify resilience from catastrophic perils, empowering leaders to measure, mitigate, and transfer risk. We believe that by pioneering cutting-edge science, we can make disasters less disastrous and, ultimately, build planetary-scale resilience.

**The Role **

One Concern is growing rapidly, and we are looking for a passionate, mission- driven Senior Data Scientist, Solutions to join our team. Apply your technology and knowledge to enhance the resilience of businesses, community, and people - on a global scale.

What You’ll Do

• Keep up to date on the latest data engineering architectures and data science models, methods and validation methodologies by interacting routinely with Engineering and Data Science teams
• Support pre-sales and post-sales efforts to deliver analysis to solve client business problems using One Concern technology and explain analyses, methods, validations, and limitations to clients
• Conduct quantitative research and business analysis for new opportunities and markets alongside the Solutions Strategist and Business Team
• Independently drive innovative data science analyses from the ground-up using internal and external data sources and work with Solutions Strategists to create client-ready materials
• Support post-sales efforts to configure One Concern products for clients and deliver additional analysis to satisfy customer needs working closely with Customer Success and the Solutions Strategist

Qualifications & Experience

• MS or PhD in Quantitative fields and +4 years' experience in AI / Machine Learning / Statistical Modeling. Expertise in physics-based/geospatial modeling preferred
• 2-3 years of software or data science experience
• 1-3 years of client-facing consultant/analytical service experience. Experience working with Fortune 500 multinational customers, banking, or insurance customers to independently conceptualize and build analytical solutions
• Strong attention to detail, ownership and accountability in his or her work
• Experience rapidly prototyping interdisciplinary high-fidelity proof-of-concepts
• Proficiency in Python
• Mission driven

Nice to Haves

• Entrepreneurial, creative, and innovative mindset for identifying new opportunities and scrappy approaches to solve open-ended complex problems
• Experience competing and/or winning at startup weekends or hackathons
• Experience of working for/with (re)insurance companies or brokers, asset managers, private sector/public-private partnerships or climate finance companies
• (Re)insurance, catastrophe modeling, and AI/Machine Learning experience.
• Demonstrated experience of working on problems of risk financing options (through enterprise risk management budget, bank loans, blended finance, resilience bonds, or insurance)
• Experience of working with international clients
• Background in natural disasters risk or impact modeling

Compensation will be competitive with the market for this position and will include equity consideration.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, natural origin, gender, sexual orientation, age, marital status, veteran status, or disability status.