Our client is a Riga-based, globally operating fintech building an AI-driven financial marketplace for the next billion consumers. The company connects underbanked users with leading lenders through alternative data and proprietary credit scoring, making financial services more accessible across some of the world's largest and fastest-growing markets.
Operating in massive markets requires bold thinking, ambitious solutions, and a willingness to solve complex challenges at scale. The company empowers small, high-impact team with significant ownership, autonomy, and decision-making authority, so every member of the team can shape and influence all the big decisions.
Recognized as one of Europe's fastest-growing startups, the company has been ranked in the Financial Times FT1000 (#27) and Deloitte Fast 50 (#3 in Central Europe).
Join a fintech where latest AI tools, finance, and global growth come together to serve over 10 million users, and operates across multiple international markets continuing to scale rapidly, combining startup agility and proven traction to create lasting impact on a global scale.
About the role
As a member of the Data Team, you will be part of the team supporting sales, customer engagement, and development of various data services and data products in Asia and Latin America. You have a central role in expanding the data science models portfolio by leveraging machine learning and other advanced methods. You will also be driving MLOps technologies and practices development. You will work closely with the data engineer and DevOps team to support the deployment of machine learning models by using robust MLOps, DevOps technologies, and practices.
In the coming year, they will focus on continuing to scale up and expand the development and operationalization of a variety of real-time models. Their focus in on further upgrading MLOps and the associated tech stack using various technologies and tooling in the cloud.
Tech competences
• Experience in solving complex statistical and data problems, ability to translate business problems in data science
• Good understanding of appropriate analytical algorithms, models, and experience in leveraging relevant tools and methods (especially, machine learning)
• Good knowledge and experience with core programming languages (Python, PySpark, etc) and OOP
• Knowledge and experience with MLOps, DevOps processes, techniques, and tools
• Knowledge and experience with databases, data search, and extraction
• Experience with deployment, monitoring, and maintaining ML models in production, including CI/CD, retraining pipelines, and model observability (drift, performance, reliability)
• Experience designing and optimizing ML pipelines (focus on feature store, model serving frameworks)
• 5+ years of experience in roles such as Data Scientist or ML Engineer
• Successful track record in delivering end-to-end machine learning projects
Soft skills
• You have a strong innovation drive and can-do attitude
• Communication skills
• You are expected to actively support and knowledge-share with others in the area of advanced analytics and data science, and be able to work across the data, business, and IT functions with various subject matter experts
What we offer:
• Equipment of your preference
• Vacation policy that fully covers annual leave and National holidays in line with your residence country’s standards
• Hybrid work mode (3 days onsite)
• Salary starting from 5500 EUR (higher for more experienced candidates)
• Bonuses via good performance (cash or stock – you choose!)
• Work with paid AI tools (Claude Code); agents ensure correct, automated workflows
• Early-stage startup hunger and ambition, combined with stability, as we have reached profitability
• Unlimited growth – as the company grows, you grow with us!
Hiring process:
1. Screening call with Tech Recruitment
2. First interview with the company
3. Technical task
4. Final interview with CEO
