Director of Data Science

Earnix is a leading provider of advanced pricing and rating solutions tailored for the insurance and banking industry. Our software empowers actuaries and data scientists within financial companies to make data-driven decisions and optimize pricing strategies. With a commitment to innovation and a deep understanding of the market, Earnix is at the forefront of revolutionizing how financial companies approach pricing and rating.

The Engineering organization at Earnix is charged with developing state-of-the-art analytical and AI/ML models, solutions & algorithms that are embedded into the Earnix suite of cloud services. We continuously promote analytical and algorithmic innovation that addresses a wider set of business problems & challenges faced by financial Institutions. 

We are seeking an experienced, innovative & business-savvy Analytics professional to join us and help us build the next big analytical thing. 

You will lead a team of data scientists and engineers, build and grow the Earnix Labs program, and have an impact on the Earnix products. 

You’ll do it using: 

Advanced degree (MA/MS.C. or higher) in Computer Science/ Data Science/Statistics/ Engineering/ Economics or any related quantitative field with a focus on data analysis, applied statistics, machine learning/ deep learning 

At least 8 years of practical experience as a researcher with significant business experience 

At least 5 years of experience managing highly qualified Data Scientists/Analytics professionals 

Expertise in a wide range of machine learning/statistical/data analysis and state-of-the-art algorithms & applications 

Experience in working with external data sources, real-time data & processing big data covering both structured and unstructured data 

Practical experience in addressing real-world business problems. (e.g., pricing, product personalization, event detection, etc.) 

Experience building end-to-end analytical solutions in financial services or other relevant industries (e.g., retail, web marketing, cyber, etc.) 

Proficiency in Python and Scala 

Strong technical and technological background with good familiarity with a wide range of ML /AI & Big data tools/solutions/platforms with a particular interest in open-source solutions/tools (e.g., AWS Sagemaker, MLOps tools, etc.) 

Sufficient mathematical background for reading applied academic papers 

Strong verbal & written English communication skills  

You’ll excel by: 

Leadership & managerial skills: the ability to start and lead projects, development of people, collaboration with other departments 

Creative and innovative mind: Fast learner & self-motivated 

Thinking outside of the box while supporting key business and customer-facing functions within the organization 

Track record of successful innovation and its implementation in a managed cloud service 

Experience with AWS cloud services - an advantage

General FinOps, Insurance and/or banking industry experience - an advantage