EIS Group, Inc. Hiring for Data Scientist at Toronto, ON Full Time

EIS is an insurance software company that enables leading insurers to innovate and operate like a tech company: fast, simple, agile. Founded in 2008, EIS provides an open, flexible platform of core systems and digital solutions allowing insurers to accelerate and scale innovation, launch products faster, deliver new revenue channels, and create experiences the world will love. With thousands of APIs, the platform gives insurers the freedom to connect to a vast ecosystem of insurtech and emerging technologies. EIS powers premium growth for insurers in all lines of business worldwide. For more information visit EISGroup.com

EIS recently launched a new product suite focused in first notice of loss and fraud detection. We are looking for a Data Scientist to join a new team developing and launching cutting-edge ML models solving some of the most challenging problems in the personal and commercial insurance industry. This role will work closely with the Machine Learning and engineering team to deploy and monitor the systems that let our models power business decisions in real time. If you are excited by the opportunity to explore diverse data sources and collaborate with technical and non-technical team members and stakeholders, we’d love to hear from you!

You will:
Play a major role in our mission to enable insurance companies to offer great customer experiences to the average American consumer at the industry’s lowest cost. For example, one of our forays in insurance fraud detection using ML, directly tackles fraud in the US insurance industry. Insurance Fraud is a $40B problem and costs the average U.S. family $400-$700 per year in the form of increased premiums. Our models help solve this problem, along with many other challenges in this industry

Own end-to-end data science projects from discovery and exploration through to implementation of models in production

Partner with Product to bring new machine learning algorithms to clients, integrate products into clients’ existing processes, and ensure client success and satisfaction

Work at all scales, from rapidly developed proof-of-concepts to models powering multi-billion dollar insurance organizations

Maintain the highest standards in code quality, statistical rigor, and fairness-transparency in machine learning

Collaborate with Customer Success to prepare customer-facing materials to help explain the methodology and ROI of model outputs

About you:
3+ years experience modeling high-dimensional data for both regression and classification tasks

Ability to communicate ML concepts without jargon to a variety of audiences

Proficiency with SQL for writing efficient queries on large datasets

Proficiency in Python in both a scientific and software engineering setting

Prior experience with at least one of the following: Time series / telematics, NLP, Survival modeling, Deep learning / reinforcement learning and/ or infrastructure development to support data and/or scoring pipelines

Bonus points:
Prior experience spinning up new ML product / projects from scratch

Prior experience within the fintech, insurtech, or autonomous vehicle space

EIS Group is an equal opportunity employer (EOE), M/F/Disability/Veterans, andstrongly supports diversity in the workforce.