Actuarial Data Scientist

il y a 6 jours


Paris, Île-de-France AKUR8 Temps plein

About Us

Ak'ur8 is a dynamic and fast-growing Insurtech startup that is transforming insurance pricing and reserving with transparent machine learning.

Our SaaS platform leverages the power of AI and predictive analytics to inject speed, performance, and reliability into insurers' pricing and reserving processes.

We have developed unique algorithms that automate insurance pricing and reserving, allowing insurers to model their risks 10 times faster with higher predictive power than traditional methods.

This results in a pricing solution that incorporates next-generation reserving functionalities, helping to predict and legislate for future claims.

Ak'ur8 has been selected as one of the top Insurtech companies in the world by CB Insights and Insurtech Global.

We have offices in Paris, London, New York, Tokyo, Milan, Cologne, Atlanta, and Montréal.

As a Data Scientist, you will work with our Sales, Product, and R&D teams to find the best use cases for our software and provide the highest value to each client's unique business practices.

You will also work with the Product team to recommend new features and with our R&D team to explore new applications of machine learning in the insurance industry.

Key Responsibilities

  • Act as a subject matter expert for the sales team to find the best use cases for our software.
  • Work with the Product team to recommend new features that benefit our clients.
  • Collaborate with the R&D team to explore new applications of machine learning in the insurance industry.
  • Lead product demonstrations with various audiences and oversee Ak'ur8 proof of concept projects.
  • Contribute to white papers and participate in / present at conferences to establish the leadership of Ak'ur8.

Requirements

  • A minimum of 3 years experience in a P&C / General / Health insurance pricing role as a Pricing Actuary, Actuarial Consultant, or Data Scientist.
  • Ability to understand insurance business imperatives and establish solutions in accordance with them.
  • A strong understanding of Data Science and Machine Learning techniques for predictive modeling.
  • Experience in actuarial data-driven predictive modeling (GLMs / GAMs) & risk analysis in a P&C / General insurance pricing role.
  • Strong communication skills to elaborate on complex technical concepts to both technical and non-technical audiences.
  • Native-level of French and fluent English language skills.

Benefits

  • Competitive salary + annual bonus.
  • Hybrid office / home office policy.
  • 25 days of paid holidays + RTT.
  • Gym membership with Gymlib + corporate sporting activities.
  • Excellent health insurance (including possibility of family coverage).
  • Swile lunch vouchers.
  • Public transportation reimbursement + sustainable mobility allowance.
  • Relocation support.
  • Sponsored cr'eche access.
  • Free cafeteria with fresh fruit, drinks, and snacks.
  • Great office in the heart of the 9th arrondissement of Paris.

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