Join Our Dynamic Team and Shape the Future of Digital Banking!
Warsaw-based opportunity with hybrid work model (2 days in the office/month).
As a Data Scientist/Analyst you will be working for our client, one of the leaders in online banking, on cutting-edge data-driven projects focused on areas such as process mining, churn analysis, fraud prevention, and NLP. You will play a key role in translating business problems into data models, uncovering insights, and developing impactful solutions. This role demands not only strong statistical and machine learning skills, but also the ability to understand business needs, communicate product vision, and collaborate with various stakeholders to drive data initiatives forward.
You''re ideal for this role if you have:
Nice to have:
Join Our Dynamic Team and Shape the Future of Digital Banking!
Warsaw-based opportunity with hybrid work model (2 days in the office/month).
As a Data Scientist/Analyst you will be working for our client, one of the leaders in online banking, on cutting-edge data-driven projects focused on areas such as process mining, churn analysis, fraud prevention, and NLP. You will play a key role in translating business problems into data models, uncovering insights, and developing impactful solutions. This role demands not only strong statistical and machine learning skills, but also the ability to understand business needs, communicate product vision, and collaborate with various stakeholders to drive data initiatives forward.
,[Build and validate machine learning models tailored to business needs, Analyze and interpret complex data to extract actionable insights, Collaborate with business stakeholders to define product vision and data strategy, Identify, collect, and prepare internal and external data sources, Engage in cross-functional teams to integrate data solutions into products, Visualize and present findings to both technical and non-technical audiences, Design scalable data workflows and pipelines using appropriate technologies, Leverage statistical methods to support decision-making processes, Participate in the continuous improvement of data infrastructure and tools, Contribute to a culture of data-driven product development] Requirements: Python, SQL, NumPy, pandas, Matplotlib, SciPy, Hadoop, Spark, Stakeholder management, DevOps, Linux, Java, Scala Additionally: Private healthcare, Sport subscription, International projects.