Machine Learning Research Scientist

We are Earnix

Description

We believe that for Financial Institutions, personalization is key to increased customer satisfaction and loyalty as well as to improved business results. ​

Recognizing the complexities of financial products, Earnix provides an end-to-end Pricing and Product Personalization Software Suite, driven by world-class data science, analytical modeling tools, and integrated machine learning.  

The Earnix 3D Personalization Suite empowers Financial Institutions to offer the RIGHT PRODUCT, at the RIGHT PRICE, at the RIGHT TIME, while maximizing business KPIs, ensuring governance & compliance, and improving the enterprise-wide end-to-end product personalization and pricing process. 

Earnix has been consistently innovating for Banks and Insurers around the globe for over 18 years. We have offices in the Americas, Europe, Asia Pacific, and Israel. 

Job Description:

We are looking for a Machine Learning Research Scientist who will be responsible for exploring, testing and adopting novel Machine Learning methods to enhance Earnix’s products

Requirements

Requirements:

    • M.Sc.in Computer Science/ Statistics/ Engineering or any related field with focus on applied statistics, machine learning, deep learning
    • At least 2 years’ practical experience as a researcher, preferable business experience in applying these concepts to business related problems
    • Expertise in machine learning/statistical/data-analysis algorithms: GLM, decision trees, GBM, clustering
    • Proficiency in R/Python
    • Programming experience in Java

Advantages:

    • Experience in NLP
    • Experience in deep learning
    • Prior experience in the FinTech industry
    • Programming experience in Java

Additional skills:

    • Fast learner & self-motivated
    • Strong analytical capabilities
    • Out of the box thinking
    • Sufficient mathematical background for reading applied statistical/data-analysis papers
    • English proficiency – both verbal & written

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