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, South Africa 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 1200 dedicated professionals forms our greatest asset.

From more than 200+ 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, you will play a key role in developing data-driven solutions that support credit decisioning, risk management, and business growth across our international markets. You will take ownership of analytical initiatives from concept to implementation, transforming complex data into practical solutions that drive better business outcomes.

Your responsibilities will include:

• Taking ownership of credit decisioning initiatives end-to-end, designing and developing technical implementations of risk assessment logic, rules, and algorithms, both for existing products and new market launches
• Performing ad-hoc analyses to support business decision-making and translating complex findings into clear, actionable recommendations for credit, operations, and product teams
• Supporting the development of forecasting tools and strategies to mitigate credit and operational risk
• Identifying opportunities to improve existing processes and workflows through automation and data-driven solutions
• Collaborating with cross-functional teams, including Risk, Legal, Operations, and Customer Service, to deliver data-driven outcomes
• Contributing to data quality initiatives and ensuring the reliability and accuracy of analytical outputs

• Higher education in Mathematics, Statistics, Computer Science, Data Science, or a related STEM field
• 2-4 years of hands-on experience in data science, analytics engineering, or a related role; experience in fintech, credit risk, or lending will be considered an advantage
• Proficiency in Python and SQL; experience with R is an advantage
• Solid understanding of statistical techniques, machine learning algorithms, and data modelling
• Experience with software engineering practices, including writing production-ready code, version control (Git), and working within deployment workflows
• Ability to translate business requirements into technical solutions and communicate findings clearly to non-technical stakeholders
• Experience working in agile, cross-functional teams
• Fluent English, both written and spoken
• Proactive, ownership-driven mindset with strong attention to detail

• Opportunity to drive strategic decisions and shape the future of an international FinTech organization
• Influence across diverse markets, delivering meaningful impact on financial inclusion and social mobility
• Collaborative and ambitious executive team with a culture of shared success, 'We Win Together'
• International environment with exposure to emerging markets across Europe and Africa
• Tailored professional development and executive coaching opportunities to strengthen your leadership journey
• Comprehensive benefits, including health insurance, lunch allowance, special day off package, and paid mobile calls and parking
• Work-life balance arrangements that suit your lifestyle and executive commitments
• Competitive compensation from 3500- 4300 complemented by significant performance-based bi- annual bonuses and long-term incentives