Skill Demand Index
AI/ML for predictive analytics — Demand & Depth Analysis
Based on 1 scored job postings out of 3,786 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0%
Demand Rate
L2
Median Depth
0%
Gap Rate
1
Jobs Analyzed
Basic
Most employers want AI/ML for predictive analytics at basic competency with practical application.
Overview
What is AI/ML for predictive analytics?
Market context for AI/ML for predictive analytics in the current job market
AI/ML for predictive analytics is required in 0% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for AI/ML for predictive analytics typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for AI/ML for predictive analytics:
- •Required in 0% of all scored postings — demand is growing as more employers add it to requirements
- •Employers typically expect L2 depth — foundational knowledge with practical application
- •Most demand comes from Data Analysis roles — 100% of all AI/ML for predictive analytics jobs
What L2 means in practice:
L2 (Basic) means you’ve built small things with AI/ML for predictive analytics — personal projects or bootcamp work. Employers accept this for junior roles.
This means employers aren't looking for someone who has used AI/ML for predictive analytics once or twice. They want evidence of professional application — shipped work, measurable outcomes, and the ability to operate independently.
Common skill gaps:
The gap rate of 0% means most candidates have adequate AI/ML for predictive analytics proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need AI/ML for predictive analytics most:
Data Analysis positions drive 100% of demand. Skills commonly paired with AI/ML for predictive analytics include Supervisory Experience and Data Analytics/Data Analysis.
Depth Level Distribution
Proficiency Distribution
How candidates match AI/ML for predictive analytics requirements across 1 scored evaluations
Average depth: L2.0·Median depth: L2.0
Salary Correlation
Pay Impact
How AI/ML for predictive analytics affects compensation based on postings with disclosed salary data
Without AI/ML for predictive analytics
$139K
Median $130K
978 jobs
Skill Demand Insight
“AI/ML for predictive analytics appears in 0% of all scored jobs.”
From 1 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside AI/ML for predictive analytics
Role Breakdown
Top Role Categories
Job categories most likely to require AI/ML for predictive analytics
Gap Analysis
Gap Rate Explained
How often AI/ML for predictive analytics is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When AI/ML for predictive analytics appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is AI/ML for predictive analytics in demand in 2026?
Yes. AI/ML for predictive analytics appears in 0% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 1 analyzed jobs, demand is steady across multiple role types.
What level of AI/ML for predictive analytics do most jobs require?
The median required depth is L2. Many positions accept basic to intermediate proficiency.
Does knowing AI/ML for predictive analytics increase salary?
Salary data for AI/ML for predictive analytics is still accumulating.
What other skills pair with AI/ML for predictive analytics?
The most common pairings are Supervisory Experience, Data Analytics/Data Analysis, SQL and RDBMS, Big Data, PowerBI and/or Tableau. Strengthening these alongside AI/ML for predictive analytics improves your fit across more positions.
What roles need AI/ML for predictive analytics the most?
Top roles: Data Analysis. Data Analysis positions have the highest demand at 100% of all AI/ML for predictive analytics jobs.
How do I improve my AI/ML for predictive analytics level?
L1→L2: online courses and personal projects. L2→L3: daily professional use and shipped work. L3→L4: mentoring others and optimizing processes. L4→L5: architecture decisions, open source contributions, or published work.
See how you stack up against AI/ML for predictive analytics job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my AI/ML for predictive analytics gaps →See how your depth compares to what employers actually require
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