Kearney Junior Data Scientist 2026

Kearney Italia, Inc.; Województwo mazowieckie; On-site; 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

A global partnership in more than 40 countries, our people make us who we are. We’re individuals with different passions and strengths who take as much joy in the work we do as from those we work with.

Together, we know our people are our difference — for our clients, our colleagues, and our communities. That’s why we take pride in being individual and inclusive and create a place where everyone can bring their full self to work.

About the Project

As a client-facing team member, you’ll collaborate within international project teams composed of consultants and data scientists. Your core responsibilities will include delivering analysis using Python (focusing on “what is the business impact”), developing dashboards in Power BI, and translating complex technical concepts into clear, accessible language for non-technical stakeholders.

Team

Join a dynamic team of ~30 data scientists and developers who work closely with consulting teams and clients to provide analytics tools and insights. The team offers a rich learning environment with expertise in AI, machine learning, business intelligence, and strategy. Beyond professional growth, you’ll find a friendly and collaborative atmosphere, all within the broader global Data & AI community.

Job Responsibilities

• Support senior data scientists in developing and deploying machine learning models
• Contribute to building scalable analytical solutions using Python and related data science libraries
• Apply statistical and machine learning techniques to extract insights and solve business problems
• Assist in preparing and processing large datasets for analysis and modeling
• Collaborate with cross-functional teams to integrate data-driven solutions into business workflows
• Contribute to the creation and maintenance of interactive dashboards and reporting tools (e.g., Power BI, Tableau, or Python-based solutions)

Key Requirements

The candidate needs to have at least 2 of the skills below:

• SQL (Basic)

Availability

Possible to be a student, but availability needs to be Monday - Friday, flexible time during day.

Location

Warsaw (to meet the team in the office 1-2/week).

What we offer

• Global Exposure: Work on remote or on-site projects across the US, Middle East, and Western Europe
• Team Culture: Monthly Friday afternoon social events and team/office outings each year
• Mental Health Support: Access to an external online platform for confidential mental health assistance
• Expert Community: Collaborate and learn from a global network of industry-leading professionals in Data & AI
• Modern Workspace: Work from our 34th-floor office near Rondo ONZ, featuring panoramic views and a well-stocked kitchen with healthy snacks
• Occasional additional days off
• Sharing the costs of sports activities
• Private medical care
• Sharing the costs of professional training & courses
• Life insurance
• Hybrid work opportunities
• Corporate credit card
• Parking space for employees
• Employee referral program
• Opportunity to obtain permits and licenses