DATA SCIENTIST

Eleving Consumer Finance is a dynamic and international FinTech company dedicated to empowering diverse communities worldwide. Our mission is to create access to innovative and sustainable financial solutions, driving upward social mobility.

We are at the forefront of financial inclusion, serving markets where traditional banking falls short. Our reach extends across 7 countries, encompassing the Balkan Europe region, including Moldova, North Macedonia, Albania, and the Southern Africa region, covering Namibia, Botswana, Zambia, and Lesotho.

In most of the markets we enter, cash economy conditions are prevalent, making our comprehensive online and offline customer service experiences a unique offering. With a presence spanning multiple continents, our international team of over 1000 dedicated professionals forms our greatest asset.

From more than 180+ branches, we offer a diverse array of flexible financial products, providing the means for individuals and communities to thrive, and we are constantly expanding our footprint. 

Join our team, and be part of our mission to transform the financial landscape for the better.

As a Data Scientist at Eleving Consumer Finance, you will play a pivotal role in turning raw data into actionable insights and scalable models. You will work across departments to design, build, and improve data-driven solutions, contributing directly to our risk evaluation systems, credit models, and customer experience strategies.

• Extract, process, and analyze large volumes of structured and unstructured data from diverse sources to generate insights
• Develop, implement, and maintain predictive models and algorithms, especially for credit scoring, fraud detection, and other risk-related purposes
• Monitor and assess the performance of existing models, continuously enhancing them to improve accuracy and relevance
• Collaborate closely with risk, legal, and customer service teams to align analytical initiatives with business goals
• Explore and implement new methodologies in machine learning and data science to solve real-world financial challenges

• Higher education in Mathematics, Statistics, Data Science, or a related STEM field
• 2+ years of hands-on experience in data science or advanced analytics, preferably within the financial or risk domain
• Proficiency in data retrieval and manipulation using SQL, and strong programming skills in R and/or Python
• Solid foundation in statistics, modeling, and algorithm development
• Excellent problem-solving abilities and a proactive, ownership-driven attitude
• Effective communication skills in English, with the ability to explain complex insights to non-technical stakeholders
• Advantage: Experience in credit risk modeling and scorecard development.

• Shared Success, 'We Win Together' – Join a culture that celebrates collaboration and collective achievement
• Be part of an international, vibrant, and professional team that values deep expertise, mentorship, and knowledge-sharing
• A stimulating environment where your curiosity is encouraged, and your ideas have real impact
• At our company, your talents transform into tangible value—both for the business and your career
• Tailored professional development opportunities to support your continuous growth
• Enjoy competitive benefits, including health insurance, lunch allowance, special day off package, and paid mobile calls and parking
• A flexible work-life balance that empowers you to thrive personally and professionally
• Competitive salary from 3000 EUR- 4000EUR, complemented by result-oriented bonus.