Build models based on data to predict customers’ payment behavior.
Design A/B experiments, analyze the results, and provide decision recommendations.
Work in tight cooperation with stakeholders to analyze complex data and provide data-driven insights for business-critical decisions.
Review the work and provide feedback to data analysts and data scientists.
Share your knowledge and provide training on best practices in data processing and analytics methodologies.
Define data science strategy, communicate and align it with the management and other teams.
Propose, assess, prioritize, and lead data science projects.
Work closely with data engineers to ensure the best possible data infrastructure across products.
Research and implement best practices and standards in Data Science across product teams.
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About Creditstar
Creditstar pioneers digital consumer finance across Europe, enabling customers to achieve their best financial lives. You will contribute to products that serve hundreds of thousands of people across 8 countries. Our loan portfolio grew to 406.8 million euros by June 2025, a 30.6% year-on-year increase. We have been profitable for over 19 years, showing consistent growth and stability. We craft accessible credit and investment solutions, offering everything from flexible credit lines to high-yield investment products.
How We Work
You will join a truly international team, collaborating with colleagues working across ten different countries. We foster a supportive atmosphere that prioritizes continuous learning and mental well-being. Our culture is dynamic, growth-driven, and intensely customer-focused. Expect challenging projects within an ambitious and collaborative environment. Decisions are made thoughtfully, balancing speed with quality.
Engineering at Creditstar
Our engineering team builds data-driven financial products designed for millions of people. We use automated processes, sophisticated algorithms, and advanced data analysis for credit assessment and risk management. You will work with a modern data stack, including SQL, Power BI, DAX, and Snowflake. Engineers contribute to robust data models and transformation logic using dbt. We rely on PHP, Yii2, React, Node.js, and PostgreSQL to power our platforms. You will solve complex problems, ensuring data accuracy and system performance at scale.
Why Join Us
Directly influence data-driven products reaching millions of people across Europe.
Collaborate with a talented international team operating across multiple countries.
Engage in a dynamic, challenging, and rewarding role within a rapidly expanding company.
Work in an environment that prioritizes learning, growth, and mental well-being.
Benefits & Perks
Health Insurance, Life Insurance, and Provident Fund (PF).
Home office equipment to support your remote setup.
Competitive compensation packages.
Learning and development initiatives to grow your skills.