Professional Services Consultant
We are Earnix
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.
We are looking to hire Professional Services Consultant for customer-facing engagements that combine data science, knowledge and understanding of machine learning and business analytics. The Scientist will work with the largest Insurance and Banks across the globe to implement Earnix solutions.
This position is based in Brazil, preferentially in São Paulo
Manage and design Customer-specific analytical solutions
Deliver projects successfully including statistical models and other advanced techniques
Training & Demo our Earnix solutions to customers
Work with Earnix various teams to ensure seamless high-quality project delivery to the satisfaction of our customers
Write relevant project documentation
Experience in consulting positions, preferably in the FinTech/ Insurance sectors
Project experience in financial software company
Graduate degree in Statistics/ Mathematics/ Physics/Economics or other quantitative field from leading universities
knowledge of a scientific computing language (such as R or Python)
Excellent communication & interpersonal skills; the ability to convey complex analytical concepts & results clearly and confidently to all stakeholder levels
Willingness to travels abroad to customer
Portuguese- a must
Excellent English - both written & verbal
Solid work experience in a quantitative field (Statistics, Mathematics, Physics, Economics, Engineering, Artificial Intelligence, etc.)
Prior hands-on experience in predictive modelling including Machine Learning techniques
Prior consulting or customer facing roles