Analyze and preprocess data (cleaning, structuring, validation)

Design and implement scalable predictive models

Lead and execute data science experiments (A/B testing, validation)

Translate business problems into machine learning solutions

Build and optimize models (classification, clustering, regression)

Deliver actionable insights to internal stakeholders

Contribute to data science and analytics pipelines

Collaborate with product, engineering, and business teams

Minimum 10 years of experience in Data Science / Machine Learning

Degree in Statistics, Mathematics, Computer Science or Engineering

Solid experience with Python and SQL

Deep understanding of machine learning and predictive modeling

Practical experience in implementing models in production

Experience working with large data sets (structured and unstructured)

Strong analytical and communication skills
Nice to have:

• Experience with MLOps, cloud platforms (AWS, GCP, Azure), Big Data tools (Spark)

• Experience in fintech or data-driven products

Modern fintech product

Freedom in choosing technologies and architecture

No legacy systems

Senior-level team

Culture focused on ownership, autonomy, and innovation