
About Prodigal
Revolutionizing consumer finance with AI technology
Key Highlights
- Raised over $20 million from Accel and Founders Fund
- Headquartered in San Francisco, CA
- Serves clients like Credit Karma and Upstart
- Focus on automating collections and customer engagement
Prodigal is an AI-driven fintech company specializing in automating consumer finance workflows. Founded in 2018 and headquartered in San Francisco, Prodigal has raised over $20 million in funding from investors like Accel and Founders Fund. The platform is designed to enhance collections and custome...
🎁 Benefits
Prodigal offers competitive salaries, equity options, unlimited PTO, and a flexible remote work policy to support work-life balance....
🌟 Culture
Prodigal fosters a culture of innovation and agility, prioritizing data-driven decision-making and a strong focus on AI technology to transform the co...
Skills & Technologies
Overview
Prodigal is hiring a Data Scientist to build recommendation systems that enhance consumer engagement and improve debt collection performance metrics. You'll leverage your skills in Python and machine learning to analyze data patterns and develop effective models.
Job Description
Who you are
You have a strong background in data science, particularly in building recommendation systems that drive user engagement. Your experience includes analyzing complex datasets and converting insights into actionable model weights that enhance performance metrics. You are comfortable working with AI technologies and have a passion for transforming industries through data-driven solutions. You thrive in environments that challenge you to grow and innovate, and you are eager to contribute to a mission-driven company like Prodigal.
Desirable
Experience with consumer finance or collections is a plus, as is familiarity with AI applications in these fields. You are also encouraged to bring any additional skills in programming languages or data visualization tools that can enhance your contributions to the team.
What you'll do
In this role, you will focus on developing recommendation systems that improve consumer engagement in debt collection campaigns. You will analyze patterns in data to inform model development and ensure that the systems you build are effective and efficient. Collaborating with cross-functional teams, you will contribute to the design and implementation of AI-driven solutions that address real-world challenges in the lending industry. Your work will directly impact how Prodigal's AI Agents operate, helping to create a more streamlined and effective approach to loan servicing and collections.
You will also be responsible for monitoring the performance of the models you develop, making adjustments as necessary to optimize outcomes. This includes conducting experiments to test the effectiveness of different algorithms and approaches, as well as communicating your findings to stakeholders to inform strategic decisions. Your insights will play a crucial role in shaping the future of Prodigal's offerings and ensuring that the company remains at the forefront of innovation in consumer finance.
What we offer
At Prodigal, you will be part of a dynamic team that is dedicated to transforming the lending and collections industry. We offer a collaborative work environment where your ideas and contributions are valued. You will have the opportunity to work with cutting-edge technology and be part of a mission that aims to eradicate inefficiencies in consumer finance. We encourage you to apply even if your experience doesn't match every requirement, as we believe in the potential of diverse backgrounds and perspectives to drive innovation.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Prodigal.
Similar Jobs You Might Like
Based on your interests and this role

Machine Learning Engineer
Nielsen is hiring a Machine Learning Engineer to develop and deliver technology solutions within their Audience Measurement Engineering platforms. You'll work in Bangalore, India, contributing to insights that drive client decisions.

Machine Learning Engineer
Nielsen is hiring a Machine Learning Engineer to develop and deliver technology solutions within their Audience Measurement Engineering platforms. This role is based in Mumbai and requires expertise in machine learning methodologies.

Machine Learning Engineer
Kaluza is hiring a Machine Learning Engineer to work on their Energy Intelligence Platform. You'll be involved in turning energy complexity into seamless coordination. This role requires existing right to work in the UK.

Machine Learning Engineer
Sanctuary AI is hiring a Machine Learning Engineer to build robust systems for training and running ML policies on robots. You'll work with Python, TensorFlow, and Keras to implement and deploy novel ML techniques. This position requires experience in machine learning and robotics.

Machine Learning Engineer
Tekion is hiring a Machine Learning Engineer I to accelerate the rollout of LLM-powered features across their cloud-native automotive platform. You'll work with cutting-edge technologies including machine learning and AI in Bangalore.