Staff Solutions Data Scientist

About One ConcernOne 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 Staff Solutions Data Scientist to join our team.

What You’ll Do

• Develop technical specifications for evolving One Concern’s products and solutions for climate risk adaptation, energy resilience, sustainability, and financing, targeted at enterprises, insurers, banks, asset managers, and cities.
• Work closely with various cross-functional teams at One Concern (Solutions, Data Science, Engineering, Product Management, and Business Development) to design and build innovative and practical solutions and product offerings.
• Drive innovation within One Concern to stay ahead of client needs and to differentiate our offerings in the market.
• Help One Concern evolve its current value proposition for climate adaptation and energy resilience with our target clients across sectors by being active in the market, listening to clients, developing new service offerings, and delivering high-quality and impactful solutions to our clients.
• Keep up-to-date on the latest sustainable and resilient energy technologies and their financing methods, climate and energy risk financing market trends, and public-private partnerships approach.
• Conduct quantitative research, business, and financial analysis for new opportunities in the resilient energy space, climate adaptation, and financing markets, and identify relevant use cases for the applications of the One Concern resilience platform of those markets.
• Support the Solutions Team in presenting new sustainable and resilient energy alternatives and financing solutions to client decision-makers, including (re)insurance managers, asset managers, enterprise CROs and CFOs.
• Interact with customers to understand the requirements, field technical questions, and provide details on our technical solutions.
• Create customer-ready materials to position One Concern solutions to the customers successfully.

Qualifications & Experience

• MS or PhD (would be nice but not necessary) in Engineering with experience in AI / Machine Learning / Statistical Modeling required. Expertise in physics-based/geospatial modeling preferred
• 2-3 years of software or data science and engineering experience
• 1-3 years of client-facing consultant experience. Experience working with Fortune 500 multinational customers, banking, or insurance customers to independently conceptualize and build analytical solutions
• Entrepreneurial, creative, and innovative mindset for identifying new opportunities and scrappy approaches to solve open-ended complex problems
• Strong attention to detail, ownership and accountability in his or her work
• Experience rapidly prototyping interdisciplinary high-fidelity proof-of-concepts.
• Mission driven
• Strong communication, quantitative and analytical skills.
• Creative, innovative mindset for identifying and solving open-ended problems.
• High willingness and flexibility to travel (domestic/international) - potentially >25% travel under normal, post COVID-19 conditions.

Nice to Haves

• Previous entrepreneurial experience starting your own venture
• Experience competing and/or winning at startup weekends or hackathons
• Experience of working for/with (re)insurance companies or brokers, asset managers, or climate finance companies will be a big plus.
• (Re)insurance, catastrophe modeling, and AI/Machine Learning experience is a big plus.
• Good understanding of the problems faced by (re)insurance/financial sector, climate risk and climate finance industry, and private sector/public-private partnerships
• Demonstrated experience of working on problems of risk financing options (through enterprise risk management budget, bank loans, blended finance, resilience bonds, or insurance).
• Work experience with multinational / Japanese customers will be a big plus.

Compensation will be competitive with 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.