Machine Learning Engineer, Akur8
PhD
AI insurance pricing solution
Be an early applicant
AI insurance pricing solution
101-200 employees
Be an early applicant
101-200 employees
Company mission
To revolutionise insurance pricing with transparent AI.
Role
Who you are
- We're looking for an innovative and rigorous mind that has a solid technical background and a track record of helping their team grow
- You have just completed or are finishing your PhD in computer science, applied mathematics or related topic
- You understand client's priorities and have a good sense of urgency to find the right balance between need for fast delivery and code robustness
- You are interested in machine learning and have good knowledge of maths and/or statistics
- You have experience in software engineering standards, testing, code reviews and system design
- Having high-level knowledge of AWS’s main services is a plus (EC2, ECS, RDS, S3, Athena)
What the job involves
- We are looking for a talented Engineer with a strong interest in Software Engineering and Machine Learning to join us and contribute to the development of our actuarial pricing platform
- Your mission will be to build and implement technical features in the software and optimize its data structures
- These features answer clear business purposes for insurance Risk Managers and Product Managers, meaning that a good understanding of modelling, maths and logic are necessary for the accomplishment of the mission
- At Akur8 our Python, Java and Angular stack leverages the AWS cloud in order to solve the machine learning and insurance pricing problems that our users face on a daily basis
- You’ll be fully involved in the heart of our platform, learning every day and seeing the impact of your work in production
- Lead the development of challenging product features
- Interact with the design and product teams to help transform their needs into well-structured tasks that fit into our Agile development framework
- Design, build, integrate and maintain efficient, reusable and reliable code
- Understand our data models and machine learning algorithms to optimise their computation with the different cloud services within AWS
Our take
Putting the correct pricing on insurance has always been a challenge for insurers. Pricing too low can decimate its profits, but pricing too high is a sure-fire way to drive off customers. Despite this importance of pricing, it has generally remained a human task, and therefore prone to errors and biases.
Akur8 wants to change this, delivering an AI-based solution that automates pricing modelling for insurers, while maintaining the transparency and control required by regulators. By leveraging machine learning, the platform enhances insurers’ pricing processes, reducing modelling time whilst increasing predictive power.
Pricing in the insurance industry is changing fast, so keeping on top of such developments will be paramount to Akur8's success. Judging by its early metrics, though, it looks like this should be no problem. The company has already acquired big customers, including the likes of AXA and Generali, and has secured strong funding to support its growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
4% employee growth in 12 months
Company
Company benefits
- Annual bonus
- Company shares/equity
- Hybrid office/home office policy
- 25 days of paid holidays + RTT
- Gym membership with Gymlib + on-site gym facilities/different sporting events
- Swile lunch vouchers
- Alan health insurance (including possibility of family coverage)
- Relocation support
- Sponsored crèche access
- Free cafeteria with fresh fruit, drinks and snacks
- Ongoing training
Company HQ
Plaine-Monceau, Paris, France
Leadership
Samuel Falmagne
(Founder & CEO)Worked at IBM for over 17 years, holding a range of executive roles, and also served as Head of Sales for Shift Technology.
Salary benchmarks
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