Requirements: English
Company: AKUR8
Region: Paris , le-de-France
Akur8 is a young, dynamic, fast growing Insurtech startup that is transforming insurance pricing and reserving with transparent machine learning. Our SaaS platform leverages the power of transparent machine learning and predictive analytics to inject game-changing speed, performance and reliability into insurers pricing and reserving processes. Powered by skilled RD, Product Actuarial teams weve developed unique AI algorithms that automate the insurance pricing and reserving in an unprecedented way. As 3rd best overall (worldwide) in the CodinGame 2022 Software Engineering Fall Challenge With 39 nationalities within our team, and offices in Paris, London, New York, Tokyo, Milan, Cologne, Atlanta and Montral, Akur8's solution is international by design. Servicing more than 320+ clients across 4 continents and targeting all non-life insurance carriers, we focus on more mature markets for faster expansion. Akur8 software strives to increase efficiency, performance and transparency of the pricing workflow, designing flexible modules and processes leveraging our proprietary machine learning algorithms. As optimal machine learning models should be intuitive, easy to test and analyse - in order to identify errors - our Machine Learning Product Managers conceptualize key features, empowering the actuary of the future whilst simultaneously upskilling and eliminating pitfalls for the end user. Driving our innovation, the Machine Learning Product Manager will be directly responsible for decision making regarding one of the modules of our suite of softwares (whether independently or as part of a committee, according to strategic importance). A cross-functional role, providing a wide range of interactions with various internal teams (Design, RD, Sales, Marketing), it requires knowledge of how the different parts of our platform interact (something that youll gain both during your onboarding period and on an ongoing basis). Over time, youll gather market information, extract the relevant elements and schedule the planning of product development to the next level, including: Constantly acquiring a deep understanding of pricing techniques Animating training sessions for clients, prospects and colleagues A Masters degree or PhD in a quantitative discipline ~3+ years experience in the Machine Learning field as ML/Data Science Product Manager, ML Software Engineer or Data Scientist. A sound understanding of machine learning concepts, models, and algorithms Very strong focus on both ML validation techniques (i.E. performance metrics, model selection, PDP, etc.) Fluent English language skills Competitive salary + annual bonus ~ Hybrid office / home office policy ~25 days of paid holidays + RTT ~ Gym membership with Gymlib ~ Excellent health insurance (including possibility of family coverage)~ Public transportation reimbursement + sustainable mobility allowance ~ Relocation support ~ Great office in the heart of the 9th arrondissement of Paris