predictive modeling jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-28, predictive modeling appears in 1,360 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning predictive modeling, with demand down 23% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-28

Postings · last 90 days
1,360
Demand vs prior month
down 23% vs the prior 4 weeks
Top role · 33.9% of skill postings
Top hiring metro
New York City

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Frequently asked questions about predictive modeling

+Is predictive modeling in demand in 2026?

Yes. predictive modeling appears in 1,360 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 23% vs the prior 4 weeks. Data Scientist accounts for the most postings mentioning predictive modeling (33.9% of all postings mentioning predictive modeling).

+What jobs require predictive modeling?

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 predictive modeling are Principal Data Scientist (25.6% of that role’s postings mention predictive modeling), Marketing Analytics Director (22.2% of that role’s postings mention predictive modeling), Marketing Analytics Lead (18.2% of that role’s postings mention predictive modeling).

+What skills are commonly paired with predictive modeling?

Across job postings indexed by Skillenai (90 days ending 2026-09-28), predictive modeling most often appears alongside Python, SQL, machine learning, R, data visualization.

+Where is predictive modeling most in demand?

As of 2026-09-28, the metro areas posting the most jobs requiring predictive modeling are New York City, San Francisco, London, Chicago, Toronto, according to the Skillenai jobs index.

+How can I keep up with new predictive modeling content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning predictive modeling alongside the jobs index. You can subscribe to a daily email digest of new predictive modeling content from your Skillenai account.

Weekly job postings requiring predictive modeling — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Roles most likely to require predictive modeling

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
Principal Data Scientist1025.6%
Marketing Analytics Director622.2%
Marketing Analytics Lead418.2%
Data Science Analyst514.3%
Data Science Manager3214.0%
Applied Data Scientist614.0%
Lead Data Scientist1313.4%
Machine Learning Manager313.0%
Data Science Consultant912.5%
Data Analytics Director312.5%

Roles with the most predictive modeling postings

RolePostings mentioning skillShare of skill postings
Data Scientist46133.9%
Data Analyst826.0%
Data Science Manager322.4%
Product Manager251.8%
Machine Learning Engineer221.6%
Data Engineer141.0%
Lead Data Scientist131.0%
AI Engineer120.9%
Analyst120.9%
Business Analyst100.7%

Top metros hiring for predictive modeling

NamePostingsShare
New York City664.9%
San Francisco372.7%
London362.6%
Chicago322.4%
Toronto221.6%
Barcelona211.5%
Atlanta191.4%
Boston151.1%
San Jose151.1%

Skills commonly paired with predictive modeling

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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 predictive modeling by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s predictive modeling postings by all predictive modeling 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
812a167e1280c493
data_as_of
2026-09-28
window_days
90
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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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Compiled by Jared Rand · Data sourced from the Skillenai labor market index