IT Role Rank Poland
#43 by score · #39 editorially · AI/ML and Data

Data Scientist

Tier 3 · Solid prospectsAI risk: mediumMixed12 offers on SOLID.Jobs

LLMs and AutoML eat routine analysis; product-focused people hold up

Overall scoreDerived
5.61/ 10
#43 of 73 by score with the default weights. #39 in the editorial ranking.
  • Salary 30% × 4.21.26
  • AI resistance 35% × 6.02.10
  • Demand 20% × 6.01.20
  • Remote work 10% × 8.00.80
  • Low stress 5% × 5.00.25

Salary, k PLN per month

Mixed
0510152025303540Estimate≈16–28Market B2B23.5–24 · 8 offers · SOLID.JobsMarket employment16.9–21.3 · 4 offers · SOLID.Jobs

estimate MID → SENIORmarket (SOLID.Jobs): middle half of offersmidpoint, medianjunior (derived)

Range MID → SENIOR
≈16–28
Range midpoint
≈22.0
Junior Derived
≈11.0
Take-home, employment (UoP) Derived
≈15.0
Take-home, B2B flat-rate tax Derived
≈18.0

NOTE: this is NOT a junior salary! The bottom of the range = MID level (or just promoted from junior). The top of the range = an experienced SENIOR. Staff/principal/architect levels can earn above it.

Easiest transitions

Estimate
AI/ML EngData EngProduct Analytics

2-3 roles with the shortest path from this one (overlapping skills)

Key certifications

Estimate
portfolio/Kaggleew. GCP ML Engineer

Scores 1–10

Estimate
  • AI resistance6/10
    10 = rides the AI wave, 1 = highly automatable
  • Demand6/10
    10 = acute shortage of specialists, 1 = shrinking market
  • Remote work8/10
    10 = fully remote is the norm, 1 = mostly on-site
  • Stress5/10
    10 = heavy on-call / shifts / pressure, 1 = calm
  • Entry barrier8/10
    10 = years of prerequisites, 1 = open to beginners
  • Prestige7/10
    10 = elite reputation in the industry, 1 = underrated role; a subjective view of the title among engineers - informational, not part of the Score formula

The market in job ads

From job ads SOLID.Jobs · 13/11/2026
12offers · 6 employers
24kB2B median · 23.5–24k
19.3kemployment median · 4 offers
42%remote · 58% hybrid

Most common stack

  • Python
  • ML
  • AWS
  • MLOps
  • Airflow
  • Luigi
  • NoSQL
  • Power BI
  • Prototyping
  • SQL
  • vibe coding
  • Data science

requirednice to have% of this role's offers

Experience level

Junior 0%Regular 50%Senior 50%

17925 Q116025 Q212925 Q313625 Q415726 Q120126 Q215326 Q34626 Q4
Offers per quarter in Data Science and AI · hollow dot = quarter in progress

Matching: 12 by title, 0 by category. Pay is the midpoint of each offer's range in PLN per month (B2B net, employment gross); the median and the band holding the middle half of offers are shown.

Salaries in job-board reports

From reports

No Fluff Jobs: „Kariera w IT 2026”data for H1 2026

These are the report's figures for the whole Data & BI category, not for this role alone.

LevelB2B netEmployment, gross
Junior8.4–12.6–
Mid20.2–24.414.4–20
Senior23.5–28.619.8–26

Thousands of PLN a month: the median lower and upper bounds of the ranges in job ads. A dash means the report gives no amount because there were too few ads. Source: page 11 of the report.

No Fluff Jobs: „Rynek pracy IT w Polsce 2025/2026”data for 2025

These are the report's figures for the whole Data & BI category, not for this role alone.

LevelB2B netEmployment, gross
Overall21.8–27.416–23
Junior8–128–11
Mid18–23.114–19.5
Senior23.5–30.219.6–26.4

Thousands of PLN a month: the median lower and upper bounds of the ranges in job ads. Year-on-year change of the overall upper median: B2B +0.4%, employment -4.2%. Source: pages 27 and 33 of the report.

Reports are shown on their own, with a link and page number. They are not averaged with SOLID.Jobs data because they measure something else: the report gives the median lower and upper bounds, SOLID.Jobs the median of the range midpoints.