This article provides a comprehensive analysis of Data Scientist salaries in Poland, exploring salary variations across the country’s major tech hubs. Additionally, it offers a global comparison, highlighting Poland’s increasing prominence as a key player in the data science and AI landscape within Europe.
Introduction: Data Scientist Salary in Poland
With the rising demand for data-driven decision-making, Poland has become an attractive destination for companies seeking skilled Data Scientists at competitive rates. The country’s thriving tech ecosystem and highly skilled workforce create excellent career opportunities for professionals specializing in machine learning, statistical modeling, natural language processing (NLP), and big data analytics.
Key Topics Covered in This Guide:
- Average Salary Ranges – Explore the latest salary expectations for Data Scientists in Poland, segmented by experience levels.
- Regional Salary Differences – Understand how salaries vary across Poland’s major tech cities, including Warsaw, Kraków, Wrocław, Gdańsk, and Poznań, influenced by industry demand and local cost of living.
- Global Salary Comparison – See how Polish Data Scientist salaries compare to those in top international markets such as the USA, Canada, Switzerland, Israel, Australia, the UK, Germany, the Netherlands, Norway, and Sweden.
Whether you’re an employer setting competitive salary benchmarks or a Data Scientist planning your next career move, staying informed about salary trends in Poland is crucial for making strategic career and hiring decisions.
Data Scientist Salaries in Poland
As the role of Data Scientists becomes increasingly integral to business intelligence, predictive analytics, and AI-powered solutions, salaries in Poland reflect the growing demand for expertise in data science and machine learning. This guide provides a detailed breakdown of Data Scientist salaries in Poland, categorized by experience level and key responsibilities.
Methodology
In Poland, various reports and market analytics provide valuable insights into Data Science salary trends. Our methodology at Itentio IT Recruitment is based on a thorough analysis of salary data from local tech job boards such as JustJoinIT, NoFluffJobs, Pracuj.pl, BulldogJobs, the:protocol, inhire.io, RocketJobs and Solid.jobs. We analysed 552 available on the market job listings with clearly stated salary ranges across Poland. Additionally, we cross-referenced this data with information from our recruitment partners, candidate salary expectations gathered during interviews, and the actual offers extended and accepted in recruitment processes. The salaries discussed in this article can be considered gross amounts for permanent contracts (UoP) or net on B2B contract. However, the vast majority of opportunities for Data Scientists have been offered through B2B arrangements. When we refer to “max” salary, we mean average market maximum salaries in brackets, not the extremum or the market’s peak.
A. Junior (Entry-Level) Data Scientist Salary in Poland (0-2 Years of Experience)
Entry-level Data Scientists primarily focus on foundational tasks such as data preprocessing, exploratory data analysis (EDA), feature engineering, and building basic machine learning models. They often work under the guidance of senior professionals to develop expertise in Python, R, SQL, TensorFlow, and cloud-based data platforms. Representing only 2% of the data science job market, entry-level professionals use this stage to refine their technical skills and gain practical industry experience.
- Average Salary Range: 7,000 – 11,500 PLN/month
- Median Salary: 8,500 PLN/month
B. Mid (Regular) Data Scientist Salary in Poland (2-5 Years of Experience)
Mid-level Data Scientists take on more advanced responsibilities, including developing predictive models, optimizing algorithms, automating data pipelines, and deploying machine learning solutions into production. They frequently collaborate with software engineers, analysts, and business teams to translate data insights into strategic decisions. This group makes up 32% of the job market, playing a crucial role in building scalable data-driven applications.
- Average Salary Range: 14,000 – 20,000 PLN/month
- Median Salary: 17,500 PLN/month
C. Senior Data Scientist Salary in Poland (5+ Years of Experience)
Senior Data Scientists lead complex projects involving deep learning, NLP, big data analytics, and AI-driven business intelligence. They focus on optimizing models, ensuring scalability, and integrating advanced analytics into enterprise systems. As the largest segment of the data science workforce (57%), senior professionals are in high demand for their ability to drive business impact through data-driven strategies.
- Average Salary Range: 21,000 – 27,000 PLN/month
- Median Salary: 24,500 PLN/month
D. Lead Data Scientist Salary in Poland (5-7+ Years of Experience)
Lead Data Scientists oversee entire data science initiatives, mentor junior team members, and define long-term AI and analytics strategies. They work closely with executives and stakeholders to align data science solutions with business objectives. Although they represent only 9% of the job market, their technical leadership and strategic influence place them among the highest-paid professionals in the field.
- Average Salary Range: 28,000 – 38,000 PLN/month
- Median Salary: 34,000 PLN/month
Summary: Data Scientist Salary in Poland by Experience Level
| Experience Level | Average Salary Range (PLN) | Media Salary (PLN) |
|---|---|---|
| Junior (0-2 years) | 7,000 – 11,500 | 8,500 |
| Mid/Regular (2-5 years) | 14,000 – 20,000 | 17,500 |
| Senior (5+ years) | 21,000 – 27,000 | 24,500 |
| Lead (5-7+ years) | 28,000 – 38,000 | 32,000 |
Data Scientist Remuneration in Poland Trends Across Key Tech Hubs
Data Scientist salaries in Poland vary significantly depending on location, with cities like Warsaw and Kraków offering the most competitive compensation due to high demand for data science expertise, the presence of multinational companies, and cost-of-living factors. Below is an overview of salary trends across Poland’s major tech hubs.
A. Warsaw
As Poland’s capital and largest technology center, Warsaw offers the highest salaries for Data Scientists. The city’s concentration of global corporations, AI-driven startups, and financial institutions creates strong demand for professionals specializing in predictive analytics, machine learning, and big data processing. Industries such as fintech, healthcare, and e-commerce drive salaries higher, making Warsaw the top-paying city for data professionals.
- Junior Data Scientist Salary: 7,000 – 11,500 PLN/month
- Mid/Regular Data Scientist Salary: 14,400 – 20,400 PLN/month
- Senior Data Scientist Salary: 20,800 – 26,600 PLN/month
- Lead Data Scientist Salary: 28,000 – 38,000 PLN/month
B. Kraków
Kraków, home to numerous international IT firms and research & development centers, provides salaries slightly below Warsaw but remains a highly attractive destination for Data Scientists. With a strong AI research community, deep-tech startups, and corporate innovation hubs, Kraków offers significant opportunities for professionals skilled in deep learning, NLP, and data-driven decision-making.
- Junior/Entry Data Scientist Salary: 7,000 – 11,500 PLN/month
- Mid/Regular Data Scientist Salary: 14,800 – 20,200 PLN/month
- Senior Data Scientist Salary: 20,900 – 27,200 PLN/month
- Lead Data Scientist Salary: 28,000 – 38,000 PLN/month
C. Wrocław
Wrocław has developed into an emerging data science hub, with a growing number of companies leveraging AI-powered automation, cybersecurity analytics, and enterprise data solutions. Salaries here are competitive with those in Kraków, making it a prime location for Data Scientists working in industrial AI, IoT analytics, and machine learning applications.
- Junior/Entry level Data Scientist Salary: 7,000 – 11,500 PLN/month
- Mid/Regular Data Scientist Salary: 14,900 – 19,900 PLN/month
- Senior Data Scientist Salary: 21,000 – 27,100 PLN/month
- Lead Data Scientist Salary: 28,000 – 38,000 PLN/month
D. Gdańsk
Gdańsk is quickly becoming a center for cloud-based AI solutions, smart city projects, and AI-driven business intelligence. While salaries here are slightly lower than in Warsaw or Kraków, the increasing demand for data-driven optimization in logistics, finance, and enterprise AI applications makes it an excellent city for data professionals looking to advance their careers.
- Junior/Entry Level Data Scientist Salary: 7,000 – 11,500 PLN/month
- Mid/Regular Data Scientist Salary: 14,500 – 19,700 PLN/month
- Senior Data Scientist Salary: 20,600 – 26,600 PLN/month
- Lead Data Scientist Salary: 28,000 – 38,000 PLN/month
E. Poznań
Poznań is establishing itself as an emerging data analytics center, fueled by the rise in remote work and the growing adoption of AI-driven business solutions. Salaries here reflect the city’s evolving role in automation, predictive modeling, and AI-powered decision support systems, making it an appealing destination for Data Scientists seeking career growth.
- Junior/Entry Level Data Scientist Salary: 7,000 – 11,500 PLN/month
- Mid/Regular Data Scientist Salary: 14,300 – 19,600 PLN/month
- Senior Data Scientist Salary: 20,800 – 26,700 PLN/month
- Lead Data Scientist Salary: 28,000 – 38,000 PLN/month
Summary: Data Scientist Salary in Poland by City
| City | Junior (PLN) | Mid/Regular (PLN) | Senior (PLN) | Lead (PLN) |
|---|---|---|---|---|
| Warsaw | 7,000 – 11,500 | 14,400 – 20,400 | 20,800 – 26,600 | 28,000 – 38,000 |
| Kraków | 7,000 – 11,500 | 14,800 – 20,200 | 20,900 – 27,200 | 28,000 – 38,000 |
| Wrocław | 7,000 – 11,500 | 14,900 – 19,900 | 21,000 – 27,100 | 28,000 – 38,000 |
| Gdańsk | 7,000 – 11,500 | 14,500 – 19,700 | 20,600 – 26,600 | 28,000 – 38,000 |
| Poznań | 7,000 – 11,500 | 14,300 – 19,600 | 20,800 – 26,700 | 28,000 – 38,000 |
Senior Data Scientist Remuneration in Poland vs. Other Developed Countries
Senior Data Scientists in Poland earn competitive local salaries, but compensation often trails behind that of leading global tech hubs. Below is a comparative analysis of Data Scientist salaries in Poland versus top international markets.
A. Senior Data Scientist salary in the USA vs Poland
The United States leads in Data Science salaries, driven by strong demand in AI research, cloud computing, and big data analytics. Companies in finance, healthcare, and autonomous systems offer lucrative salaries to attract top talent capable of building advanced machine learning models and deploying large-scale AI solutions.
- Poland: 21,000 – 27,000 PLN/month (~5,500 – 7,000 USD/month)
- USA (Average): 13,800 – 25,700 USD/month (Source: Glassdoor, Levels.fyi)
B. Senior Data Scientist salary in Canada vs Poland
Canada has a rapidly expanding tech industry, with Toronto, Vancouver, and Montreal emerging as major AI hubs. While salaries are lower than in the U.S., they remain significantly higher than in Poland, particularly for specialists in deep learning, NLP, and AI-driven automation.
- Poland: 21,000 – 27,000 PLN/month (~5,500 – 7,000 USD/month)
- Canada: 8,500 – 17,500 USD/month (Source: Glassdoor, Jobicy)
C. Senior Data Scientist salary in Switzerland vs Poland
Switzerland offers some of Europe’s highest salaries for Data Scientists, driven by its finance, pharmaceuticals, and robotics industries. However, the high cost of living offsets earnings, making it essential to consider overall purchasing power.
- Poland: 21,000 – 27,000 PLN/month (~5,500 – 7,000 USD/month)
- Switzerland: 9,600 – 21,500 USD/month (Source: Jobicy, Levels.fyi)
D. Senior Data Scientist salary in Israel vs Poland
Israel, particularly Tel Aviv, provides salaries well above Polish levels, thanks to the country’s leadership in cybersecurity, AI-powered analytics, and fintech. With significant government and private-sector investment in AI research and deep-tech startups, experienced Data Scientists are in high demand.
- Poland: 21,000 – 27,000 PLN/month (~5,500 – 7,000 USD/month)
- Israel: 11,100 – 18,400 USD/month (Source: Levels.fyi)
E. Senior Data Scientist salary in Australia vs Poland
Australia, with tech centers in Sydney and Melbourne, offers highly competitive salaries due to the country’s focus on digital transformation, AI-driven healthcare solutions, and predictive analytics in finance and retail.
- Poland: 21,000 – 27,000 PLN/month (~5,500 – 7,000 USD/month)
- Australia: 7,500 – 17,300 USD/month (Source: Jobicy, Levels.fyi)
F. Senior Data Scientist salary in The United Kingdom vs Poland
The United Kingdom, especially London, provides substantially higher salaries than Poland, fueled by growing demand in fintech, consulting, and AI ethics. While compensation does not match the U.S. or Switzerland, the UK remains a prime location for Data Scientists, especially those specializing in explainable AI, fraud detection, and risk modeling.
- Poland: 21,000 – 27,000 PLN/month (~5,500 – 7,000 USD/month)
- The UK: 7,600 – 18,100 USD/month (Source: Jobicy, Levels.fyi)
G. Senior Data Scientist salary in Germany vs Poland
Germany, with hubs in Berlin and Munich, offers attractive salaries for Data Scientists, particularly in automotive AI, industrial automation, and enterprise analytics. While earnings exceed those in Poland, they remain below those in top-paying global markets.
- Poland: 21,000 – 27,000 PLN/month (~5,500 – 7,000 USD/month)
- Germany: 7,200 – 16,500 USD/month (Source: Jobicy, Levels.fyi)
H. Senior Data Scientist salary in The Netherlands vs Poland
The Netherlands, especially Amsterdam, is home to multinational tech companies, AI-driven startups, and strong academic institutions, making it a lucrative market for Data Scientists specializing in machine learning, cloud AI, and big data analytics.
- Poland: 21,000 – 27,000 PLN/month (~5,500 – 7,000 USD/month)
- The Netherlands: 7,600 – 16,300 USD/month (Source: Jobicy, Levels.fyi)
I. Senior Data Scientist salary in Norway vs Poland
Norway, with AI-driven advancements in finance, energy, and automation, provides strong salaries for Data Scientists, though the high cost of living offsets some financial benefits.
- Poland: 21,000 – 27,000 PLN/month (~5,500 – 7,000 USD/month)
- Norway: 11,400 – 17,100 USD/month (Source: Jobicy)
J. Senior Data Scientist salary in Sweden vs Poland
While earnings in Sweden remain below the U.S. or Switzerland, Sweden’s focus on ethical AI and data-driven innovation makes it an appealing market for Data Scientists.
- Poland: 21,000 – 27,000 PLN/month (~5,500 – 7,000 USD/month)
- Sweden: 10,800 – 16,300 USD/month (Source: Jobicy)
Summary: Senior Data Scientist Salaries in Poland vs. Other Countries
| Country | Average Salary (USD/month) |
|---|---|
| USA | 13,800 – 25,700 USD |
| Canada | 8,500 – 17,500 USD |
| Switzerland | 9,600 – 21,500 USD |
| Israel | 11,100 – 18,400 USD |
| Australia | 7,500 – 17,300 USD |
| The UK | 7,600 – 18,100 USD |
| Germany | 7,200 – 16,500 USD |
| The Netherlands | 7,600 – 16,300 USD |
| Norway | 11,400 – 17,100 USD |
| Sweden | 10,800 – 16,300 USD |
| Poland | 5,500 – 7,000 USD |
While Data Scientists in Poland earn competitive local salaries, professionals seeking higher earnings may explore remote work opportunities or international relocation. Specializing in deep learning, NLP, MLOps, and AI infrastructure can significantly increase earning potential in both Poland and global markets.
Maximizing Your Remuneration as a Data Scientists in Poland
Poland’s data science industry offers exciting career opportunities, but securing a competitive salary requires a strategic approach. By enhancing your technical expertise, choosing the right employment terms, and expanding your professional network, you can increase your earning potential. Here’s how to thrive in Poland’s growing data science job market.
1. Develop Expertise in High-Demand Data Science Technologies
To maximize earning potential, Data Scientists should focus on mastering cutting-edge tools and technologies that are in high demand across industries. Key areas of expertise include:
- Programming & Data Manipulation – Proficiency in Python (Pandas, NumPy, SciPy) and R is essential for data analysis, modeling, and statistical computing. SQL remains a critical skill for querying and managing structured data.
- Machine Learning & Deep Learning – Experience with frameworks like Scikit-learn, TensorFlow, PyTorch, and XGBoost enables Data Scientists to build, train, and optimize models for predictive analytics, NLP, and computer vision.
- Big Data & Distributed Computing – Knowledge of Apache Spark, Hadoop, Dask, and Google BigQuery is increasingly valuable for handling large-scale datasets and performing parallelized computations.
- Data Engineering & MLOps – Familiarity with Airflow, Prefect, Kubernetes, Docker, and CI/CD pipelines helps streamline data workflows and deploy machine learning models efficiently.
- Data Visualization & Business Intelligence – Skills in Tableau, Power BI, Matplotlib, and Seaborn are crucial for translating complex data insights into actionable business decisions.
- Cloud & AI Services – Experience with AWS (SageMaker, Redshift), Google Cloud (Vertex AI, BigQuery), and Microsoft Azure (Azure ML, Synapse Analytics) is highly sought after, as businesses increasingly leverage cloud-based AI and data infrastructure.
Earning industry-recognized certifications, such as Google Professional Data Engineer, AWS Certified Machine Learning – Specialty, or Microsoft Azure Data Scientist Associate, can significantly boost career prospects. Additionally, expertise in data pipelines, feature engineering, and automated model deployment will make Data Scientists more competitive in the job market.
2. Choose the Right Employment Type
Your employment type in Poland impacts your salary and benefits. A traditional employment contract (UoP – Umowa o Pracę) job security, healthcare, paid leave, and employer-managed taxes, making it ideal for long-term stability. A B2B contract (self-employment), provides higher net earnings, but requires managing your own taxes, insurance, and retirement savings. This model is common for senior data scientists or those working remotely for international companies. Choosing the right contract depends on your risk tolerance and financial goals.
3. Build a Strong Portfolio of Data Science Achievements
A well-crafted portfolio is essential for demonstrating your impact and expertise. Include deployed models that drive efficiency or automation, contributions to open-source data science projects, published research papers or Kaggle competition results or end-to-end AI solutions with measurable business outcomes. Keeping an updated portfolio on GitHub, LinkedIn, or a personal website increases your visibility to recruiters and hiring managers.
4. Expand Your Professional Network
Networking is key to unlocking high-paying job opportunities. Engage with data science conferences & meetups in Poland and Europe, LinkedIn groups & Slack communities focused on AI, ML, and Data Science, local and international data science networking events. Building strong industry connections can help you discover exclusive job openings not listed publicly.
5. Leverage Remote Work for Higher Salaries
Remote work has opened global job markets to Polish data scientists. Companies in North America, Western Europe, and Australia actively seek skilled professionals, often offering higher salaries than local employers.
To stand out for remote roles, highlight experience with distributed teams and collaboration tools (Jira, Notion, Confluence), showcase time zone flexibility & strong remote communication skills and gain credibility by contributing to open-source AI/data science projects.
6. Stay Updated with Industry Trends
Data science is constantly evolving, and staying ahead of trends is crucial for career growth. Keep up by following top AI/Data Science thought leaders, attending webinars & online courses (Coursera, DeepLearning.AI, Udacity), subscribing to industry newsletters and experimenting with emerging AI tools (LLMs, AutoML, generative AI). Keeping your technical skills sharp and adapting to emerging technologies will increase your marketability and salary potential.
By implementing these strategies, Data Scientists in Poland can enhance their earning potential, access high-paying jobs, and achieve long-term career growth. Whether you’re aiming for a higher salary locally or remote opportunities with global firms, continuous learning, networking, and specialization in high-demand data science technologies will set you apart.
Conclusion
The demand for Data Scientists in Poland is steadily increasing, driven by advancements in machine learning, cloud computing, fintech, and AI-powered automation. Salaries vary based on experience, location, and specialization in high-demand areas such as Deep Learning, MLOps, NLP, and Computer Vision.
Poland’s key tech hubs offer competitive salaries relative to the cost of living, making the country an attractive destination for data science professionals. While salaries may not reach the levels of top-paying markets like the USA, Canada, Switzerland, or Australia, Poland provides strong career growth potential within its rapidly expanding AI and data science ecosystem.
To maximize earning potential, data scientists should develop expertise in high-demand technologies, earn industry-recognized certifications, build a strong portfolio with real-world machine learning projects on GitHub, expand their professional network & engage with global data science communities and explore remote & international job opportunities
With Poland’s growing AI landscape and increasing global demand for data science talent, professionals have significant opportunities to secure high-paying roles, both locally and internationally. The rise of remote work further expands career possibilities, enabling data scientists in Poland to work with leading global AI companies while remaining based in the country.
At Itentio IT Recruitment, we specialize in connecting top data science talent with leading companies across Poland and Europe. Whether you’re a professional exploring new career opportunities or a company seeking top-tier data scientists, reach out to us today to achieve your recruitment objectives!
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