Data Scientist in Fintech | Join a Leading Company!
Warsaw, Poland
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! 🚀
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Big Data Data analysis Data Analytics Data strategy FinTech Hadoop Machine Learning ML models Predictive modeling Python PyTorch R Scikit-learn Snowflake Spark SQL TensorFlow
Perks/benefits: Career development Competitive pay
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.