Data Scientist, Rooster Insurance

Telematics

£50-75k

+ Generous share options

SQL

Python

Mid, Senior and Expert level

Remote from UK

London, Hampshire, Remote

Car insurance for safe drivers

Job no longer available

Car insurance for safe drivers

1-20 employees

FintechArtificial IntelligenceInsuranceMobile

Job no longer available

£50-75k

+ Generous share options

SQL

Python

Mid, Senior and Expert level

Remote from UK

London, Hampshire, Remote

1-20 employees

FintechArtificial IntelligenceInsuranceMobile

Company mission

Rooster is a new App based insurance company. Founded to offer fairer priced car insurance to safe drivers in their 20’s & early 30’s. Unlike traditional insurers Rooster uses driving behavioural data rather than demographic data, collected pre quote to more accurately predict/price risk. By cherry picking lower risk drivers only, Rooster offers discounts of up to 40% to safe drivers.

Job

Company

Role

Who you are

One of our core data science challenges is understanding driving behavior from smartphone sensor data. Dealing with the flood of sensor data requires us to build large-scale systems that ride the big data wave rather than being submerged by it. There is no shortage of computational and statistical challenges to tackle
We're looking for a Data Scientist to help turn our driving data into new guidance for our pricing and underwriting. As part of our "Telematics Scores" team, you'll uncover new telematics features that may indicate future risk. By identifying and owning research projects, you'll build new models and insights to more accurately score our drivers. Furthermore, you'll have an opportunity to innovate using telematics data outside of pricing and underwriting use cases
PhD in a quantitative discipline and/or 3+ years of applying advanced quantitative techniques in industry
Strong demonstrable knowledge of topics such as statistical inference, numerical linear algebra, machine learning, and numerical optimization
Strong programming skills with experience using modern packages in Python. SQL a plus
Exceptional communicator and storyteller
Demonstrated experience building, validating, and applying statistical machine learning and signal processing methods to real world problems

What the job involves

Improve our telematics pricing and underwriting algorithms through principled data science methods
Develop new ways to extract risk information from granular telematics signals
Pinpoint abnormal user behaviors
Deploy and measure the performance of your models in a production environment

Our take

Rooster's aims to provide an alternative to traditional insurers who base their premiums on demographics rather than driving data. Good drivers are pooled with bad, effectively subsidising the costs of their claims. Rooster is powered by smartphone technology, driving behavioural data and computer science to set prices based on how people actually drive. Users download the app, take a test drive and get a quote based on how they drive.

By not insuring bad drivers, Rooster doesn’t have to rely on large pools and pay out for bad drivers claims, thus good drivers can save up to 40%.

Rooster's assessment of good driving, based on machine learning and artificial intelligence, is crucial to the success of their business model. Its reliability will be tested as more users with different driving experiences (who may consider themselves as ‘good drivers’) try out the product.

Freddie

Company Specialist at Welcome to the Jungle

Insights

25% female employees

Trustpilot (3.9)

Company

Company benefits

28 days holiday (excl. bank holidays)
Work from home opportunities
Health insurance
Car insurance policy (at cost)

Company HQ

London, UK

Leadership

Richard Tucker

(CEO)

Serial tech entrepreneur and CEO in disruptive technology and internet related businesses

Share this job