Data Scientist

TechTree; Warszawa; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Learning culture and development

International, multicultural team

Competitive salary and family benefits

Job summary

TechTree in Warsaw is seeking a data science professional to build high-quality data science products and models, collaborating with data scientists, engineers, designers, and business experts. The role emphasizes modelling, production-ready analytics, and reusable internal assets.

You will present findings to external and internal stakeholders, drive solutions from data prep to production, and grow by adopting best practices in data and analytics, including security and scalability, while

Qualifications

• Master's degree required in a quantitative field (math/stats/econometrics/ML/data science/engineering or CS).
• Up to 2 years of practical experience applying advanced data science methods and building technical data solutions.
• Strong grasp of analytics landscape: BI, ML, AI and generative AI, with applications across scenarios.
• Proficiency in Python and SQL for data/analytics applications.
• Experience with cloud-based analytic tools (AWS/Azure/GCP).
• Excellent communication and presentation skills for non-technical audiences.
• Business-level fluency in English and Polish (written and spoken).
• Willingness to travel frequently for client work.

Responsibilities

• Model: develop ML and analytical models to solve business problems.
• Deliver: build large-scale data and analytics solutions from data prep to production.
• Advise: present findings to stakeholders and enable data-driven actions.
• Grow: adopt best practices in data/analytics, including code quality, security, scalability, and staying current with AI.

Skills

Communication skills

Travel readiness

Public speaking

English/Polish fluency

Education

Master's degree in mathematics, statistics, economics or econometrics, ML, data science, physics, CS or engineering

Tools

Python

SQL

Databricks

PySpark

Docker

Kubernetes

AWS

Azure

Google Cloud

Job description

Join a multidisciplinary data and AI team that builds solutions for organisations across many industries. You'll work with data scientists, data and software engineers, designers and business experts to help organisations make better decisions and improve performance. This role is based in Warsaw, hybrid, and involves frequent business travel.

The role

You'll work on complex and varied datasets. You'll build high-quality data science products and solutions, focusing on modelling, and you'll present your findings and recommendations to both external and internal stakeholders. You’ll also build reusable assets for internal data teams.

What you'll do

Model: develop machine learning and analytical models that solve real business problems.

Deliver: build large-scale data and analytics solutions, from data preparation to production.

Advise: present findings and recommendations to stakeholders and help them act on the results.

Grow: learn best practices in data and analytics development, including code quality, data security, scalability and sustainability, and keep up with generative and agentic AI.

What you bring

Must-haves

Master's degree in mathematics, statistics, economics or econometrics, machine learning, data science, physics, computer science or engineering

Up to 2 years of professional, hands-on experience applying advanced data science methods and building technical data solutions, such as machine learning models

A strong grasp of the analytics landscape, including business intelligence, machine learning, AI and generative AI, and how to apply each in different scenarios

Proficiency in Python and SQL for data and analytics applications

Professional experience with cloud-based analytical tools from providers such as AWS, Azure or Google Cloud

Effective communication and presentation skills, including explaining complex analytical concepts to non-technical audiences such as business managers and product or marketing leads

Business-level fluency in English and Polish, both written and spoken

Willingness to travel frequently for client work

Nice to have

Practical experience developing generative or agentic AI applications

Experience with advisory work

A track record of leadership, at work or through extracurricular activities

Our toolkit: We choose the right tools for each task and each project's landscape. Often we use Python, PySpark, Databricks, SQL, Docker and Kubernetes, and we work regularly with AWS, GCP and Azure.

What we offer

A learning culture with structured development programmes, coaching and clear, actionable feedback

Real ownership from day one: your ideas and contributions will shape what gets built

An international, multicultural team

A competitive salary based on your location, experience and skills, plus a comprehensive benefits package for you and your family