Machine Learning Scientist (Financial Scoring)

We are looking for a talented Machine Learning Scientist who is passionate about delivering impactful solutions and thrives in a dynamic, collaborative environment. The ideal candidate will possess a strong background in software development, excellent data analysis and communication skills, and a deep understanding of machine learning and statistics.

Responsibilities

Build machine learning and deep learning models based on financial and other modalities like images and text

Collaborate closely with cross-functional teams to integrate machine learning models seamlessly into production systems

Conduct extensive analysis to better understand our continually evolving datasets and validate model performance

Design and develop robust, scalable pipelines and services using software engineering best practices

Implement end-to-end solutions, including architecture design, business logic, and deployment

Drive the adoption of rigorous testing practices, ensuring high-quality, reliable ML model releases

Stay updated with advancements in machine learning and related technologies to continuously improve our solutions

Requirements

Ph.D in Computer Science, Statistics, Mathematics or a related field

2+ years of relevant industry or postdoc experience

Solid understanding of computer science fundamentals, including data structures and algorithms and object oriented programming

Deep understanding of machine learning models and algorithms

Deep understanding of probability and statistics

Strong data analysis skills and experience working with messy real world data

Proficiency in python and familiarity with commonly used machine learning libraries such as numpy, pandas, torch, and scikit-learn

Excellent communication skills

We’ve been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @lendbuzzcareers.com). Please note that all legitimate emails from our team come from @lendbuzz.com. We will never ask for sensitive information or conduct interviews via messaging apps.