ML/Data Scientist @ Mindbox S.A.

2 days ago

Kraków, Czech Republic Mindbox S.A. Full time

• 3+ years of experience as an ML Engineer / Data Scientist in a financial or regulated environment.
• Strong understanding of traditional risk modeling techniques: logistic regression, scorecard models, survival analysis, Markov chains.
• Hands-on experience with ML algorithms such as XGBoost, LightGBM, Random Forest, or deep tabular models.
• Proficiency in Python (e.g., scikit-learn, xgboost, lifelines, SHAP, pandas) and SQL.
• Familiarity with regulatory requirements in credit risk (e.g., ECL, IFRS 9, Basel III).
• Strong communication skills and ability to explain model logic to non-technical stakeholders (e.g., risk, compliance, audit).

Creating an inspiring place to thrive for the talented, we use their expertise and courage to introduce the technology of the future into your business. - This is the foundation of Mindbox and the goal of our business and technology journey. We operate and develop in four areas:

🤖 Autonomous Enterprise - automation of business processes using RPA, OCR, and AI.

🌐Business Managment Systems ERP - we implement, adapt, optimize, and maintain flexible, safe, and open ERP of production and distribution companies worldwide.

🤝Talent Network - we provide access to the best specialists.

☁️ Modern Architecture - we build integrated, sustainable, and open CI / CD environments based on containers enabling safe and more frequent delivery of proven changes in the application code.

We treat technology as a tool to achieve a goal. Thanks to our consultants' reliability and proactive approach, initial projects usually become long-term cooperation. For over 16 years, it has provided various services to support clients in digital transformation.

#LI-Hybrid

We offer:

  • We are open to the employment form according to your preferences
  • Work with experienced and engaged team, willing to learn, share knowledge and open for growth and new ideas
  • Hybrid working system 
  • Mindbox is a dynamically growing IT company, but still not a large one – everybody can have a real impact on where we are going next
  • We invest in developing skills and abilities of our employees
  • We have attractive benefits and provide all the tools required for work f.e. computer
  • Interpolska Health Care, Multisport, Warta Insurance, training platform (Sages)
,[Develop predictive models for credit scoring, loan deterioration, and time-to-default (e.g., logistic regression, scorecards, survival models, Markov chains). Perform data exploration and feature engineering using behavioral and transactional credit data (payments, delinquencies, account activity). , Ensure model performance, robustness, and interpretability (e.g., PSI, SHAP, monitoring). , Collaborate with Data Engineering teams to deploy models into production pipelines (batch or real-time scoring). , Contribute to model audit, validation, and documentation processes.] Requirements: ML algorithms, Python, scikit-learn, pandas, SQL, IFRS Additionally: Sport subscription, Private healthcare, International projects, Free coffee.

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