Data Scientist / Engineer, Shift Technology
$90-100k
+ Company equity
1+ day a week in office
AI-driven insurance fraud solution
Be an early applicant
AI-driven insurance fraud solution
501-1000 employees
Be an early applicant
$90-100k
+ Company equity
1+ day a week in office
501-1000 employees
Company mission
To revolutionise the policyholder experience through wide-ranging products that apply AI and advanced data science to key insurance processes.
Role
Who you are
- Code-savvy, either by having a degree in computer science and/or having developed some apps with actual users- writing scripts for models and notebooks is not enough at Shift, we thrive on people who can write maintainable, production-quality code that will run everyday without breaking
- AI-savvy, either by having a degree in machine learning and/or statistics. Having a clear understanding of statistics and machine learning problems, tasks and common resolutions is important to communicate internally and explain to the client how the product is working
- Client facing. You will need to be comfortable and open to communicating to our clients on a regular basis
- Business smart. We don’t expect candidates to know the insurance sector, but we want applicants who are interested in learning and mastering the business aspects of our products
What the job involves
- This role is part of our Data Science team which is the largest team in our organization consisting of over 200+ Data Scientists throughout the world
- Our Data Scientists work in a full lifecycle role and on a broad range of subjects acquiring extensive technical and professional experience in data science, data engineering, coding, business understanding and client engagement
- Our company is small enough that each person’s achievements has an impact on our overall performance, yet big enough to be a world leader and innovator in our domain
- As a member of the data science team, you will be working alongside our technical experts and your role will be key to rolling out our enterprise level solutions to our clients
- Your role will be to actively contribute to the US- Insurance roadmap and clients, and working on various data types such as structured data, free text, documents and images
- Implementation of the data engineering, usually from client extracts to the insertion of the data in our data stores (SQL, ElasticSearch)
- Developing, testing, tuning models and putting them in production for tasks such as fraud detection and automation detection in complex environments
- Automate key business tasks by implementing them in our production process framework in C#
- Conduct meetings with clients and interact with external stakeholders, whether it is for direct user feedback, presenting business cases or defining the roadmap of evolutions
Our take
The global insurtech market is projected to grow substantially given the increased demand for insurance service digitisation, projected market expansion, and developments in technology that have made it easier to buy and process claims. Insurtech helps create new avenues that large insurance companies have less incentive to pursue, such as offering social insurance and customised policies for clients.
In January 2021, Shift Technology introduced the Shift Insurance Suite to help the insurance industry apply AI-based decision automation and optimisation technology solutions. This addresses critical processes across the insurance policy lifecycle, as well as helps insurers to achieve faster, more accurate claims and policy resolutions.
Shift Technology is focusing on continuous deployment in the UK and the US, whilst exploring opportunities in Singapore, as it attempts to become an international player in the market. However, it must stave off a number of major competitors to do so, including Quantemplate, Slice and Neos.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-1% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
May 2021
$220m
SERIES D
Mar 2019
$61.1m
SERIES C
Total funding: $321m
Company benefits
- Flexible remote and hybrid working options
- Competitive Salary and a variable component tied to personal and company performance
- Company equity
- Generous PTO and paid holidays
- Parental leave opportunities
- Extensive mental health benefits provided via our global Employee Assistance Program
- Paid volunteering time - 16 hours annually
Company HQ
Bercy, Paris, France
Leadership
Jeremy Jawish
(CEO)Experience in fraud detection solution development for AXA in 2011, and as an FICC Strategist for Goldman Sachs in 2012.
Eric Sibony
(CSO)PhD in machine learning from 2012-2016, and has been CSO since 2013.
David Durrleman
(Fellow Engineer)Experience as a Fixed Income Strategist for Goldman Sachs between 2008-2013.
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