NumPy jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, NumPy appears in 1,687 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning NumPy, with demand down 50% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about NumPy
+Is NumPy in demand in 2026?
Yes. NumPy appears in 1,687 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 50% vs the prior 4 weeks. Data Scientist accounts for the most postings mentioning NumPy (19.3% of all postings mentioning NumPy).
+What jobs require NumPy?
According to the Skillenai jobs index over the 90 days ending 2026-09-28, among roles with at least 20 postings, the highest shares mentioning NumPy are Mathematics Expert (100.0% of that role’s postings mention NumPy), Quantitative Risk Analyst (33.3% of that role’s postings mention NumPy), Python Engineer (23.1% of that role’s postings mention NumPy).
+What skills are commonly paired with NumPy?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), NumPy most often appears alongside Python, pandas, SQL, scikit-learn, PyTorch.
+Where is NumPy most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring NumPy are New York City, Bengaluru, London, Toronto, San Francisco, according to the Skillenai jobs index.
+How can I keep up with new NumPy content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning NumPy alongside the jobs index. You can subscribe to a daily email digest of new NumPy content from your Skillenai account.
Weekly job postings requiring NumPy — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Roles most likely to require NumPy
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Mathematics Expert | 28 | 100.0% |
| Quantitative Risk Analyst | 7 | 33.3% |
| Python Engineer | 12 | 23.1% |
| Python Developer | 16 | 22.9% |
| Quantitative Research Intern | 4 | 17.4% |
| Senior Data Scientist | 4 | 15.4% |
| AI Security Researcher | 3 | 15.0% |
| Data & Analytics Engineer | 3 | 14.3% |
| Marketing Data Scientist | 3 | 14.3% |
| AI/ML Scientist | 3 | 13.0% |
Roles with the most NumPy postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Scientist | 325 | 19.3% |
| Software Engineer | 156 | 9.2% |
| Machine Learning Engineer | 122 | 7.2% |
| Data Analyst | 81 | 4.8% |
| ML Engineer | 58 | 3.4% |
| Data Engineer | 56 | 3.3% |
| AI Engineer | 41 | 2.4% |
| Mathematics Expert | 28 | 1.7% |
| AI/ML Engineer | 26 | 1.5% |
| AI Trainer | 25 | 1.5% |
Top metros hiring for NumPy
| Name | Postings | Share |
|---|---|---|
| New York City | 58 | 3.4% |
| Bengaluru | 50 | 3.0% |
| London | 46 | 2.7% |
| Toronto | 43 | 2.5% |
| San Francisco | 31 | 1.8% |
| Singapore | 20 | 1.2% |
| Hyderabad | 19 | 1.1% |
| Boston | 17 | 1.0% |
| Pune | 17 | 1.0% |
Skills commonly paired with NumPy
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-28. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning NumPy by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s NumPy postings by all NumPy postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 7be37725c7a4c5c7
- data_as_of
- 2026-09-28
- window_days
- 90
The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.
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