Data Scientist Salary in Berlin (2026)
In 2026, Data Scientists in Berlin earn between €43,000 and €79,000 annually, with a median salary of €57,219. Salaries vary based on experience, skills, and company size.
Key Facts
- Median salary for Data Scientists in Berlin is €57,219.
- Entry-level positions start at €43,000 annually.
- Senior roles can earn up to €99,000 per year.
- Top hiring companies include Zalando and Delivery Hero.
- Cost of living index in Berlin is 65.7.
Salary by Experience Level
- Junior Data Scientist (0-2 years): €43,000 - €60,000
- Mid-Level Data Scientist (2-5 years): €60,000 - €79,000
- Senior Data Scientist (5+ years): €79,000 - €99,000
How Berlin Compares
Berlin's median salary for Data Scientists is €57,219, which is competitive within Germany. For instance, Munich offers higher average salaries around €69,900, while cities like Cologne and Hamburg offer approximately €67,900 and €67,500 respectively. (stackfuel.com)
Skills That Command Premium
Proficiency in Machine Learning, Python, Data Analysis, Statistics, and SQL can significantly enhance earning potential. (payscale.com)
Work Culture & Benefits
Berlin's tech scene offers a dynamic work environment with opportunities for growth. Companies often provide benefits like flexible working hours, remote work options, and professional development programs.
Top Hiring Companies
Career Advice
To maximize earning potential, focus on developing in-demand skills like Machine Learning and Python. Networking within Berlin's tech community can also open doors to higher-paying opportunities.
Data Scientist Insights — Berlin
Data Scientist salaries in Berlin range from €43,000 to €79,000, a 63% spread that reflects significant variation based on experience level, specialization, and company size. The median of €57,219 sits below the midpoint, suggesting more positions cluster toward the entry-to-mid-level end of the range.
Berlin's cost of living index of 65.7/100 represents moderate living costs. At a median salary of €57,219, data scientist professionals here enjoy solid purchasing power relative to higher-cost tech hubs.
The hiring landscape for data scientist in Berlin is anchored by employers like Zalando, Delivery Hero, and N26, along with 2 other notable employers. Larger employers in this market typically offer compensation at the upper end of the range, often supplemented with equity, signing bonuses, and comprehensive benefits.
Demand for data scientist in Berlin centers around expertise in Machine Learning, Python, Data Analysis, plus 2 other core competencies. Candidates with strong proficiency across these areas tend to command offers closer to the €79,000 ceiling, and have natural transition paths into roles like Data Analyst or Machine Learning Engineer.
Related Roles in Berlin
Explore salary information for similar positions and compare compensation across different roles.
| Role | Location | Salary Range | Median |
|---|---|---|---|
| Data Engineer | Berlin | €60,750 - €80,000 | €71,000 |
| iOS Developer | Berlin | €44,000 - €77,000 | €57,268 |
| Frontend Engineer | Berlin | €48,450 - €76,675 | €68,500 |
| Backend Engineer | Berlin | €62,000 - €82,000 | €73,000 |
| ML Engineer | Berlin | €60,000 - €130,000 | €95,000 |
| DevOps Engineer | Berlin |
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Frequently Asked Questions
What qualifications do I need to become a Data Scientist in Berlin?
Most Berlin data scientists have a STEM Master's degree (75%), with backgrounds in statistics, computer science, math, or physics. Key skills: Python (pandas, scikit-learn), SQL, statistics, and machine learning. Entry routes: traditional degree (3-5 years), data science bootcamp (3-6 months, €8-12K), or self-taught with Kaggle competitions. Traditional companies prefer degrees; startups accept bootcamp grads with strong portfolios.
Is a bootcamp enough or do I need a formal degree?
Bootcamps (Le Wagon, DataScientest, Neue Fische) can land you junior roles at startups or consulting firms, but traditional corporates prefer degrees. Bootcamp grads: €45-55K starting salary, focus on practical ML. Degree holders: €55-70K starting, stronger theoretical foundation. If you have a non-STEM degree + bootcamp + portfolio, you can transition, but expect to start junior and prove yourself.
What does a typical Data Science career path look like in Berlin?
Typical progression: Junior Data Scientist (€50-60K, 0-2 years) → Data Scientist (€65-80K, 2-4 years) → Senior Data Scientist (€85-100K, 4-7 years) → Lead/Principal (€105-125K+, 7+ years). Alternative tracks: ML Engineer (more engineering-focused), Data Science Manager (people leadership), or Research Scientist (PhD-heavy). Specialization (NLP, computer vision, recommendation systems) accelerates growth.
How does remote work affect Data Science salaries in Berlin?
Berlin's data science market is 60% hybrid (2-3 days in office), 30% full onsite, 10% fully remote. Remote roles pay 5-15% less than onsite (no Berlin cost-of-living premium), but expand your market to other German cities. Hybrid is standard at many companies. Fully remote roles exist at consulting firms (McKinsey Digital, BCG Gamma) and startups. Remote-first companies match Berlin salaries.
What portfolio projects should I build as an aspiring Data Scientist?
Strong portfolio projects: 1) End-to-end ML project (data collection → model → deployment), 2) Kaggle competition with top 10% finish, 3) Open-source contribution (scikit-learn, PyTorch), 4) Domain-specific case study (finance, healthcare, e-commerce). Avoid: Titanic dataset (overdone), tutorial follow-alongs, notebooks without deployment. Deploy models via Streamlit/FastAPI, write technical blogs explaining your approach, and show business impact (not just accuracy metrics).
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