Lead Data Scientist (Pricing)- (France -Remote Working)
Zego, France
Job Description
Zego is a commercial motor insurance provider that powers opportunities for businesses, from fleets of just two vehicles to global enterprises, and for individual drivers and riders. Its mission is to provide businesses and people with insurance they control, saving them both time and money.
The problem that exists is that in an ever-changing world, traditional insurance holds businesses back. Zego, on the other hand, helps businesses to unlock their full potential by putting them in control. Using smart technology and sophisticated data sources, Zego gives businesses the power to monitor and improve their driving performance over time, enabling them to save money by retaining a great price for their cover. It also helps businesses save time, making the administrative side of things easy and the claims process effortless.
Since its inception in 2016, Zego has grown to support businesses in the UK and across Europe and has forged partnerships with businesses such as BP, Amazon and Uber. Zego has also raised $280 million in funding and was the first UK insurtech to be valued at over $1 billion.
Overview of the Pricing Function
The Pricing function at Zego has recently undergone a transformation. We now have a function that consists of Actuaries and Data Scientists working in Squads. We have two main squads which are Live Pricing Squad and Features amp; Models Squad.
These two squads are responsible for delivering pricing for Zego’s diverse portfolio of products. This role will be working directly with the Pricing Leadership team at Zego.
The Role
Our Pricing Function is looking for a motivated Lead Data Scientist to join their talented team to help influence and play a pivotal role in building out our modelling capabilities.
The Lead Data Scientist will collaborate and work closely with Product Managers, Underwriters, Data Scientists, Machine Learning Engineers and Actuaries to improve Zego’s risk identification and selection capabilities. This role will be a mixture of hands-on delivery of projects mixed with coaching and mentoring junior members of the team.
Reporting to the Head of Pricing Data Science the Lead Data Scientist will help in the development of new insurance pricing models, leveraging novel sources of behavioural data and state-of-the-art machine learning techniques. Therefore deep expertise in data, Python and machine learning is a must along with experience building models in GLM/GAMs.
This is a great opportunity for someone who wants to further their technical knowledge and expertise in a fast paced environment where they will help to set up standards for the team and help nurture and coach members of staff.
Experience working in the Insurance or Insurtech space is desirable and we welcome application from a finance or commercial background. Please note that although this is a Remote first role you need to be residing in France.
What you’ll be working on as a Lead Data Scientist (Pricing):
- You will dive into the heart of Zego pricing efforts and help to build market leading pricing analytics and risk prediction capabilities.
- You will use modern tools, methods and techniques to develop advanced algorithms to take smart and instantaneous decisions and promote automation in different areas.
- You will work with various types and diverse datasets, including claims, driver behaviour, shift and trip information, traffic, weather, telemetry, geospatial data, web and smartphone sensors.
- You will conduct pre- and post-deployment impact analysis to quantify the success of new strategies and pricing implementations.
- You will contribute to improving Zego’s understanding of how driver behaviour relates to actuarial risk and how Zego’s can leverage the insights to disrupt how the industry currently operates.
What you will need to be a successful Lead Data Scientist (Pricing):
- Solid data science experience, preferably in pricing, risk or insurance related roles.
- Experienced in Python and SQL AND modern machine learning tools and libraries such as Scikit-learn and Statsmodel.
- Familiar with common statistical tools and methods employed in insurance analysis, such as generalised linear models (GLMs), classification and regression trees (CARTs), ensembling methods, and clustering approaches as well as demonstrable knowledge in Bayesian statistics.
- You have experience and enthusiasm for reproducible research techniques including version control (geg. Git amp; Github etc.).
What it's like to work @ Zego:
Zego has a truly international and inclusive team, unified by great ideas and collaborative thoughtfulness. Our people are the most important part of our story and everyone plays an essential role in our journey. We look for peop