Probability theory jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, Probability theory appears in 96 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning Probability theory.
Last updated · 90d ending 2026-09-30
Which roles want Probability theory?
Upload your resume and Skillenai will show which roles your Probability theory experience fits, which skills you already cover, and what is missing.
Prepare to discuss Probability theory in your interview
We’re building mock interviews informed by job postings and career profiles, to help you explain how you’ve used Probability theory.
Frequently asked questions about Probability theory
+Is Probability theory in demand in 2026?
Yes. Probability theory appears in 96 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Data Scientist accounts for the most postings mentioning Probability theory (13.5% of all postings mentioning Probability theory).
+What jobs require Probability theory?
According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning Probability theory are Quantitative Research Intern (16.0% of that role’s postings mention Probability theory), Quantitative Finance Analyst (9.1% of that role’s postings mention Probability theory), Autonomy Engineer (5.0% of that role’s postings mention Probability theory).
+What skills are commonly paired with Probability theory?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), Probability theory most often appears alongside Python, SQL, machine learning, R, PyTorch.
+Where is Probability theory most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring Probability theory are Bengaluru, London, New York City, Manchester, Pittsburgh, according to the Skillenai jobs index.
+How can I keep up with new Probability theory content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Probability theory alongside the jobs index. You can subscribe to a daily email digest of new Probability theory content from your Skillenai account.
+Which skills come before and after Probability theory?
The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.
Weekly indexed postings requiring Probability theory — last 90 days
Career paths around Probability theory
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before Probability theory
No published incoming skill pairs yet.
Skills after Probability theory
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| After: Power BI | 1 |
| After: biostatistics | 1 |
| After: machine learning | 1 |
| After: Excel | 1 |
Roles most likely to require Probability theory
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Quantitative Research Intern | 4 | 16.0% |
| Quantitative Finance Analyst | 2 | 9.1% |
| Autonomy Engineer | 1 | 5.0% |
| Decision Scientist | 2 | 4.7% |
| Product Analyst | 10 | 4.2% |
| Applied Data Scientist | 1 | 2.3% |
| AI Research Engineer | 2 | 2.0% |
| Lead Data Scientist | 2 | 2.0% |
| Quantitative Researcher | 3 | 1.7% |
| Quantitative Analyst | 2 | 1.7% |
Roles with the most Probability theory postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Scientist | 13 | 13.5% |
| Product Analyst | 10 | 10.4% |
| Machine Learning Engineer | 6 | 6.2% |
| Quantitative Research Intern | 4 | 4.2% |
| Research Scientist | 4 | 4.2% |
| AI and Machine Learning Engineer | 3 | 3.1% |
| Bioinformatics Manager | 3 | 3.1% |
| Quantitative Researcher | 3 | 3.1% |
| AI Engineer | 2 | 2.1% |
| AI Research Engineer | 2 | 2.1% |
Top companies posting jobs requiring Probability theory
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Platacard | 13 |
| Bet365 | 5 |
| Graphcore | 5 |
| Nimble Storage | 5 |
| Roku | 4 |
| Drweng | 3 |
| CACI | 3 |
| Natera | 3 |
| Q2ebanking | 3 |
| Justmarkets | 3 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring for Probability theory
| Name | Postings | Share |
|---|---|---|
| Bengaluru | 7 | 7.3% |
| London | 4 | 4.2% |
| New York City | 4 | 4.2% |
| Manchester | 3 | 3.1% |
| Pittsburgh | 3 | 3.1% |
| Annapolis | 2 | 2.1% |
| Austin | 2 | 2.1% |
| Bristol | 2 | 2.1% |
| Cambridge | 2 | 2.1% |
Skills commonly paired with Probability theory
Get a daily email digest of new Probability theory content
Skillenai indexes news articles, blog posts, and research papers that mention Probability theory. Click below and we'll open a pre-filled daily digest — change the cadence to hourly or weekly if you prefer, then save. Free account required (~30 seconds).
Explore related pages
How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. 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 Probability theory by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Probability theory postings by all Probability theory 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). An adjusted trend is not shown because comparable posting coverage is insufficient.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 1ebf96291eb9c57a
- data_as_of
- 2026-09-30
- 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.
Skillenai for recruiters →