Data Scientist, Machine Learning (Risk) at Next Insurance
🇺🇸 United States › California › Palo Alto (Posted Jan 23 2022)
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Job description
Next Insurance is a fast-growing tech company based in Silicon Valley that is led by a team of experienced entrepreneurs with a history of successful outcomes. Our mission is to transform insurance for small businesses by combining world-class technology and phenomenal customer service to offer better insurance at a lower price. As the leading digital insurtech company transforming small business insurance, we are proud to have achieved a company valuation of $4 billion and total funding raised to more than $880 million!
Next Insurance is looking for explorers who are filled with curiosity, have the desire to travel the unbeaten path, and realize new heights in providing small business owners with the peace of mind to run their businesses. If you move fast, and are customer-focused and willing to challenge the status quo, Next Insurance might just be your next journey.
We are looking for a driven Data Scientist to help us bring machine learning to the insurance industry. As a data scientist at Next Insurance, you will work on a wide range of projects, including building predictive risk models, fine-tuning user experience and optimizing internal operations. You will enable us to make the best use of our proprietary data, supplemented with novel data sources which you get to assemble creatively.
What You'll Do:
Research and develop predictive models (we typically start with a POC and then work with Product and Engineering counterparts to transition to production)
Iterate and pivot quickly to deliver MVP solutions. Design quick experiments to maximize learning
Understand the data and dig deep to extract actionable insights
Think creatively and outside the box to answer desired experimental questions
Work cross-functionally with engineering, product, marketing, business intelligence, insurance operations, customer support, senior management, and external partners
What We Need:
3+ years of hands-on experience in data mining, machine learning and/or statistical analysis
BS/MS in Computer Science, Statistics, Applied Math, or related areas
Experience in writing both agile exploratory analyses as well as production-level code in a fast-paced environment
Ability to communicate the results of analyses clearly and effectively
Fluency in Python and the standard numerical packages
Fluency with data extraction/ manipulation tools (preferably SQL & Pandas)
Please mention that you found the job at Jobhunt.ai
Apply now!