About the Role
Senior Data Scientist – Financial AI & Analytics
Poland
Hybrid
AWS
Azure
GCP
Hadoop
Pandas
Python
PyTorch
Scikit-Learn
Spark
SQL
TensorFlow
English, Polish
Medior, Senior
Banking
AI Data Scientist
Unleash the future of finance with AI-driven insights — shape smarter decisions today!
Poland-based opportunity with hybrid work model.
As a Senior Data Scientist – Financial AI & Analytics, you will be working for our client, a global leader in the financial services industry. In this role, you will drive innovation by developing advanced analytics and AI solutions that transform financial decisions. Your work will empower data-driven strategies across key business areas, leveraging cutting-edge methodologies to deliver actionable insights and optimize processes in a highly regulated environment. Join us and be part of a team shaping the future of financial technology!
Your main responsibilities:
Analyze large, complex datasets to identify patterns and generate actionable insights
Design, develop, and validate predictive and prescriptive models to support financial decision-making
Conduct research experiments combining statistical methods with AI algorithms
Collaborate with stakeholders to translate business needs into effective data-driven solutions
Implement machine learning models in production environments and monitor their performance
Document methodologies, results, and recommendations clearly and comprehensively
Work alongside cross-functional teams including analysts, engineers, and business managers
Ensure compliance with financial regulations and data privacy standards
Stay updated with emerging AI and data science techniques and apply them practically
You're ideal for this role if you have:
Minimum 4 years of experience as a Data Scientist, AI Scientist, or similar role
Proven expertise working with large datasets in financial or banking sectors
Strong programming skills in Python, with experience using Pandas, Scikit-learn, TensorFlow, or PyTorch
Solid understanding of statistics, probability, and mathematical modeling
Hands-on experience deploying machine learning models in production
Knowledge of SQL and working with relational databases
Familiarity with big data tools and platforms such as Spark, Hadoop, or cloud services
Ability to design experiments and employ advanced analytical techniques
Excellent communication skills to present insights clearly to both technical and non-technical audiences
Fluent command of English (both written and spoken)
It is a strong plus if you have: (optional)
Certifications related to data science or AI
Experience with financial regulation compliance in analytics projects
Eligibility to work in Europe:
Only candidates with an existing legal right to work in the European Union will be considered for this role.
#MAKEYourCareerBETTER
Interested? Apply now and include your CV in English or Polish, along with a statement confirming your consent to the processing and storage of your personal data.
Tech Stack
PythonPandasScikit-learnTensorFlowPyTorchSQLstatisticsmachine learningSparkHadoopcloud platforms