Data Scientist

**Akur8 is a young, dynamic, fast growing Insurtech startup that is revolutionizing insurance pricing with transparent AI.**

Since 2016 our skilled R&D team of Data Scientists, Software Engineers and Actuaries has developed unique AI algorithms that automate the insurance pricing process in an unprecedented way.

Our solution is a SaaS platform which allows insurance companies to model their risks 10 times faster, with a higher predictive power than traditional methods. constituting a major game changer for the insurance industry.

**Being international by design, targeting all insurance carriers globally, and focusing on more mature markets for faster expansion, in 2020 we were selected**:

- as France's Best Insurtech 2020
- in CBInsights World's Top 100 Private AI Companies for 2021
- in the Top 25 emerging technologies in Oxbow Partners insurtech impact report
- in the Top 20 in both the CodinGame Fall Challenge 2020 & Spring Challenge 2021

**_ Akur8 is, in all senses of the term, an equal opportunities employer._**

**With researchers from ENS-INRIA we created new machine learning algorithms based on innovative statistical and optimization techniques.**

The creation of these proprietary algorithms is influenced by the strong regulations in force in the insurance pricing sector, demanding - amongst other things - fully transparent models (as well as statistical proof for all of the factors driving these predictions), resulting in intense activity for Akur8.

**As a Senior Data Scientist in our R&D team, you’ll contribute to the design of the machine-learning platform to enhance**:

- Risk Modelling (analysis of the risk attached to individual insurance clients or insurance portfolios)
- Demand Modelling (modeling portfolio behaviour and the probability of potential clients to buy our products or renew their contracts)
- Price Optimization (making sure we propose our insurance product at the correct price to every potential client)

**Practically you will begin by**:

- Adding new functionalities on the Akur8 platform to answer clients' needs in terms of modeling capabilities, data or models understanding, data-processing,...
- Designing and implementing pragmatic solutions to real insurance pricing problems, and test their robustness on our data
- Reading, understanding and explaining to the team strengths and weaknesses of research papers in ML, algorithmic and optimization
- Interacting with clients to explain the capabilities of Akur8’s pricing platform and train the new users so they can understand our approach and efficiently use the algorithms you developed
- Understanding the users’ needs and help prioritize the new features that will be integrated into the platform
- Implementing reliable tests, use continuous integration and exploit at best AWS Cloud capabilities with our back-end engineers.

**Y**our work will involve**:

- Designing, building, integrating and maintaining efficient, reusable and reliable code
- Taking into account the business objectives of the models created (in particular: robustness, interpretability and implementation cost), as well as the actual needs of the end users of our solution.
- Involve interaction with end users (Data Scientists & Risk Managers/Actuaries) in order to present our platform and train users
- Relying on a strong understanding of the statistics, machine learning methods and optimization techniques used

**Requirements**:

- **An MSc (with at least 4 years post-graduate professional experience) OR a PhD in either Machine Learning & Optimisation, Statistics, Statistical Physics or Theoretical Physics**
- **A high proficiency in Mathematics, Statistics, Algorithmics, Optimization & Programming**:

- **Are comfortable with Python** (NumPy, Pandas,...)
- **Fluent English communication skills** (for interaction both internally & with our client’s Data Science & Risk Management teams)

**Benefits**

**You'll join a multicultural, highly skilled and motivated team, with a strong Tech DNA, a strive for excellence and a caring mindset. In addition to this we provide**:

- Competitive salary
- Annual bonus
- Company shares / equity
- Hybrid office / home office policy
- 25 days of paid holidays + RTT
- Gym membership with Gymlib
- On-site gym facilities / corporate sporting activities
- Swile lunch vouchers
- Excellent health insurance (including possibility of family coverage)
- Relocation support
- Sponsored crèche access
- Beautiful office in the heart of the 17th arrondissement of Paris
- Free cafeteria with fresh fruit, drinks and snacks
- Ongoing training