Assistant Data Scientist (Fintech)

TL;DR

Assistant Data Scientist (Fintech): Developing and validating credit risk models for North American business with an accent on machine learning techniques and statistical modeling. Focus on enhancing predictive accuracy, building risk assessment frameworks, and delivering insights to senior stakeholders.

Location: Hybrid in Sofia, Bulgaria

Company

Global data and technology company specializing in lending practices, fraud prevention, and financial analytics.

What you will do

• Develop and maintain credit risk models, including application, behavioral, and collection scoring.
• Apply machine learning techniques to enhance traditional risk models and improve predictive accuracy.
• Analyze large, complex datasets to build robust risk assessment frameworks.
• Present performance results and business analysis to internal and external senior stakeholders.
• Develop proof-of-concept projects and improve existing model development pipelines.
• Conduct ad-hoc data analysis to support specific client needs.

Requirements

• 1+ years of experience in a Data Science role.
• Degree (BSc level) in a numerical discipline such as Computer Science, Mathematics, Statistics, or Physics.
• Strong grasp of probability, statistical inference, optimization algorithms, linear algebra, and calculus.
• Ability to write near-production-level code in Python or another general-purpose language.
• Understanding of regression analysis and machine learning applications.

Nice to have

• Experience with BI tools such as Tableau.

Culture & Benefits

• Comprehensive social package: life and health insurance, food vouchers, and Multisport card.
• Generous time off: 25 days paid vacation, plus additional days for birthdays and social responsibility events.
• Professional growth through learning and development programs and unlimited access to educational courses.
• Flexible working hours and home office options.
• Financial perks including a Sharesave plan and monthly flex allowance covering internet bills.