Data Scientist in Fintech | Join a Leading Company!
We would like to hear from you! 😊
About the company
A leading technology solutions company for the financial sector, currently expanding across Europe, is looking for a Data Scientist to enhance strategic decision-making through advanced data analysis and predictive modeling.
Responsibilities
- Develop machine learning models and predictive analytics to improve the efficiency of financial products.
- Analyze large datasets to extract valuable insights and support decision-making.
- Design and implement algorithms to optimize payment processes and fraud detection.
- Collaborate with development, product, and business teams to integrate data-driven solutions.
- Evaluate new technologies and methodologies to enhance the data strategy.
Requirements
- More than 5 years of experience in data science, machine learning, or data analytics within fintech, SaaS, or digital banking.
- Experience with predictive models, time series analysis, and real-time data processing.
- Proficiency in Python, R, or SQL, and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience with big data technologies like Spark, Hadoop, or Snowflake.
- Advanced English (C1).
What we offer
- Competitive salary and performance-based bonuses.
- Growth opportunities in an expanding company.
- Dynamic environment and international team.
- Flexibility for remote or on-site work in Warsaw.
If you want to be part of a company where data drives financial innovation, we are looking for you. Apply now and join the data revolution in fintech! 🚀
- Department
- Administration & Finance
- Locations
- Warsaw
- Remote status
- Hybrid

Colleagues
About INHAUS
We are INHAUS!
Experts in recruiting and hiring talent, but not just that, we also offer you a set of services that will give an exciting twist to your HR management.
INHAUS has the key to take you beyond the traditional!
Be part of the change - we are waiting for you!
Data Scientist in Fintech | Join a Leading Company!
We would like to hear from you! 😊
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