Junior Data Scientist - Client-Facing Analytics & Dashboards

Kearney Italia, Inc.; Województwo mazowieckie; Hybrid; PLN 40,000 - 60,000; Full time

Benefits offered by this job

Global Exposure

Team Culture

Mental Health Support

Expert Community

Modern Workspace

Occasional additional days off

Sharing the costs of sports activities

Private medical care

Sharing the costs of professional training & courses

Life insurance

Corporate credit card

Parking space for employees

Employee referral program

Opportunity to obtain permits and licenses

Job summary

Kearney Italia, Inc. is seeking a Data Scientist in Warsaw, Poland. The role includes developing machine learning models, creating analytical solutions using Python, and building dashboards in Power BI. Ideal candidates should have at least basic SQL skills and want to work in a collaborative team. Benefits include access to mental health support, a modern workspace, and opportunities for professional training. The position offers a hybrid work model, allowing flexibility throughout the week.

Qualifications

• At least basic proficiency in SQL.
• Familiarity with Python and data science libraries.
• Experience in data analysis and machine learning is a plus.

Responsibilities

• Support senior data scientists in developing and deploying models.
• Contribute to scalable analytical solutions using Python.
• Apply statistical techniques to extract insights.
• Assist in preparing large datasets for analysis.
• Collaborate with teams to integrate data-driven solutions.
• Maintain interactive dashboards and reporting tools.

Skills

SQL

Tools

Python

Power BI

Tableau

Job description

Kearney Italia, Inc. is seeking a Data Scientist in Warsaw, Poland. The role includes developing machine learning models, creating analytical solutions using Python, and building dashboards in Power BI. Ideal candidates should have at least basic SQL skills and want to work in a collaborative team. Benefits include access to mental health support, a modern workspace, and opportunities for professional training. The position offers a hybrid work model, allowing flexibility throughout the week.