Data Scientist

Linuxcareers; Warszawa; On-site; PLN 120,000 - 160,000; Full time

Job summary

Linuxcareers is looking for a Data Scientist in Warsaw, Poland. The role involves building analytical models and translating data insights into actionable business solutions. Candidates will work on process mining, churn analysis, fraud prevention, and NLP.

Applicants should possess strong machine learning and statistics knowledge, practical experience with SQL and Python, and effective communication skills. Additional experience with tools like Java, Hadoop, and Apache Spark is beneficial.

Qualifications

• Strong knowledge of machine learning and statistics.
• Practical experience with SQL and Python, including data analysis libraries.
• Ability to define business problems and translate them into analytical solutions.
• Strong communication and collaboration skills.

Responsibilities

• Create and develop analytical models for various data insights.
• Identify, acquire, and prepare data from different sources.
• Collaborate with business stakeholders to gather requirements.
• Deploy analytical solutions and co-create product strategies.
• Promote a T-shaped Data Scientist approach.

Skills

Machine Learning

Statistics

SQL

Python

Data Analysis

Communication

Collaboration

Tools

Numpy

Scipy

Pandas

Matplotlib

Scikit-learn

Job description

A financial services company is seeking a Data Scientist to build analytical models and translate data insights into business solutions. The role focuses on process mining, churn analysis, fraud prevention, and NLP while collaborating closely with business stakeholders to develop and deploy analytical products.

What You'll Do

• Create and develop analytical models for process mining, churn analysis, fraud prevention, and natural language processing
• Identify, acquire, and prepare data from internal and external sources
• Collaborate closely with business stakeholders to gather requirements, build product vision, and engage partners in project execution
• Deploy finished solutions and co-create strategy for analytical product development
• Promote a T-shaped Data Scientist approach combining deep technical expertise with broad product and engineering perspective

What You Need

• Strong knowledge of machine learning and statistics
• Practical experience with SQL and Python (numpy, scipy, pandas, matplotlib, scikit-learn and similar libraries)
• Ability to define business problems and translate them into analytical solutions
• Communication and collaboration skills with business partners

Nice to Have

• Experience working with Java or Scala
• Knowledge of Hadoop and Apache Spark
• Basic DevOps and Linux administration skills
• Interest in banking and financial services industry