
About Teya
Empowering small businesses with seamless financial solutions
Key Highlights
- Over 300,000 business owners served
- Headquartered in London, UK
- 1,000-5,000 employees dedicated to fintech solutions
- Comprehensive services including payments and cash advances
Teya is a comprehensive financial platform designed specifically for small and growing businesses, offering services such as payment processing, loyalty programs, and cash advances. Based in London, Teya has successfully assisted over 300,000 business owners in enhancing their operations and custome...
🎁 Benefits
Employees enjoy competitive salaries, equity options, generous PTO, and a flexible remote work policy, fostering a healthy work-life balance....
🌟 Culture
Teya promotes a culture of innovation and customer-centricity, encouraging employees to contribute ideas that directly impact small businesses. The co...
Skills & Technologies
Overview
Teya is hiring a Data Scientist to support the development of credit risk and pricing models for their lending products. You'll work with Python and SQL to analyze data and build models that impact small businesses across Europe.
Job Description
Who you are
You have a strong background in data science, particularly in developing credit risk and pricing models — your experience includes working with various data sources and applying statistical techniques to derive insights. You are proficient in Python and SQL, enabling you to manipulate and analyze large datasets effectively. Your understanding of machine learning algorithms allows you to build predictive models that enhance decision-making processes. You are detail-oriented and possess strong analytical skills, which help you identify trends and patterns in data. You thrive in collaborative environments and enjoy working with cross-functional teams to deliver impactful solutions. You are committed to continuous learning and staying updated with the latest advancements in data science and analytics.
What you'll do
As a Data Scientist at Teya, you will contribute to the development of credit risk models that support our lending products — your role will involve the full model lifecycle, from data exploration and feature engineering to model validation and deployment. You will collaborate closely with the credit team to understand business requirements and translate them into analytical solutions. Your responsibilities will include conducting data analysis to identify key risk factors and developing statistical models to predict creditworthiness. You will also be involved in monitoring model performance and making necessary adjustments to improve accuracy. Additionally, you will present your findings and insights to stakeholders, helping to drive data-informed decisions within the organization.
What we offer
At Teya, you will be part of a mission-driven company that values small businesses and strives to provide them with the best tools and services. We offer a supportive work environment that encourages professional growth and development. You will have access to continuous learning opportunities and be part of a diverse team that fosters innovation and creativity. Our comprehensive benefits package includes health insurance, flexible working arrangements, and a commitment to work-life balance. Join us in making a difference for small businesses across Europe.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Teya.
Similar Jobs You Might Like
Based on your interests and this role

Data Scientist
Teya is hiring a Senior Data Scientist to develop credit risk and pricing models for their lending products. You'll work with Python and SQL to lead complex modeling initiatives. This position requires significant experience in data science and machine learning.

Data Analyst
Teya is hiring a Data Analyst focused on credit risk to analyze and improve the performance of credit decisioning and pricing systems. You'll work closely with strategy analysts and data scientists to enhance lending product performance. This role requires strong analytical skills and experience in data analysis.

Data Scientist
Lendable is hiring a Data Scientist to help build innovative technology for credit and savings solutions. You'll work on real rate risk-based pricing and leverage data science to enhance customer experience. This role is ideal for those looking to make a significant impact in a fast-growing fintech company.

Data Scientist
KOHO is hiring a Data Scientist specializing in Credit Risk to enhance their data operations. You'll design and develop statistical and machine learning models to support data-driven decision-making. This role requires expertise in Python, SQL, and machine learning techniques.

Data Scientist
StackAdapt is hiring a Data Scientist to enhance their data science efforts. You'll work with machine learning and data analysis to drive impactful marketing solutions. This position requires experience in Python and SQL.