Data Scientist

Quick Facts

• Role: Data Scientist

• Focus: Banking projects (process mining, churn analysis, fraud prevention, NLP)

• Work model: Hybrid; 2–3 meetings per month in Warsaw

Description

You will design, develop, deploy, and support Machine Learning models for data-driven business use cases. The work includes data exploration and preparation from multiple sources, collaborating with business stakeholders to define analytical solutions, and presenting recommendations based on results. You will also help build and maintain ML environments and ensure quality, scalability, and efficiency.

Responsibilities

• Build and implement Machine Learning models for different business areas

• Analyze and explore data to identify trends, dependencies, and business opportunities

• Acquire, integrate, and prepare data from multiple sources for analytics and modeling

• Work closely with business stakeholders to identify problems and define data-driven solutions

• Translate business needs into analytics products and ML solutions with real organizational value

• Present analysis results and recommend solution concepts to business partners

• Develop and maintain environments and processes that support ML model building and deployment

• Collaborate with technical teams to implement solutions in production environments

• Ensure quality, scalability, and efficiency of analytics solutions

Requirements

• Minimum 4 years of experience as a Data Scientist or similar role

• Very good knowledge of Machine Learning and statistics

• Strong analytical, business, and technical competencies (T-shaped Data Scientist approach)

• Fluent SQL for data analysis and processing

• Practical Python programming experience (NumPy, SciPy, Pandas, Matplotlib)

• Knowledge of popular Machine Learning libraries; Java or Scala experience

• Experience with Hadoop and Apache Spark

• Basic DevOps knowledge and Linux system administration

• Ability to convert business problems into analytical solutions or ML models

• Experience with data acquisition, exploration, and preparation from various sources

• Experience working with business stakeholders and communicating the value of proposed solutions

• Ability to present a data-driven product vision and engage business partners in its development

Benefits

• Opportunity to work on diverse projects across Software, Embedded, Data, and Cloud Services

• Participation in additional pre-sales and expert initiatives

• Access to medical care, a sports card, and a cafeteria platform according to cooperation rules