New The Skills of Tomorrow: how AI-exposed is every skill in 2026? See the data →

Prodrive

automotive industry Banbury website ↗

Prodrive has 17 indexed roles weighted toward engineering across United Kingdom. Posting volume is steady (-50% week-over-week).

17
Indexed roles
+0%
14d momentum
2 recent vs 0 prior
#6
Industry rank
2.2% of 785 jobs · 6 peers
0.16
AI exposure (occupation)
Skill-weighted: 0.00
Hiring Trajectory
Posting volume over the last 8 weeks
Bucketed weekly from enriched_at timestamps. Trend classification compares the last 4 weeks against the 4 prior weeks. Median time from first sighting to closure: 26 days (industry: 7).
2 3 5 7 2025-12-15: 6 postings 2025-12-29: 1 postings 2026-01-12: 1 postings 2026-01-19: 1 postings 2026-01-26: 1 postings 2026-02-16: 1 postings 2026-03-02: 4 postings 2026-04-20: 2 postings 2025-12-152026-01-262026-04-20
stable Week-over-week: -50% Long-open postings (>90d): 9
Functional Mix
Where the hiring is concentrated
Categories collapsed into 12 canonical buckets so cross-company comparisons stay coherent. Same map used on /live and /job-statistics.
Engineering
13
Sales
1
Operations
1
Legal
1
Design
1
Geographic Distribution
Where postings live, and where they're moving
Free-text jobs.location resolved into 12 region buckets. Emerging hubs flagged when last-30-days postings >50% above prior 30 days.
United Kingdom
13 (76.5%)
Seniority Distribution
Who exactly is being hired
Levels in postings, plus a separate read on executive-tier roles which are the leading indicator of strategic shifts.
Senior
5
Mid-level
9
Entry-level
3
Disproportionate Skills
What this company is over-indexed on vs industry peers
Location Quotient = (this company's % of postings with skill X) ÷ (peer industry's % of the same skill). Values above 1.0 mean over-indexed. Peer baseline excludes this company itself, so a dominant employer doesn't collapse to ~1.0. Skills with fewer than 3 occurrences here are excluded.

Not enough industry baseline data yet to compute Location Quotient. This populates once the daily company re-enrichment cron tags this company's industry_canonical.

Market Position
Direct hiring competitors
Peer set is restricted to the same industry_canonical bucket and ranked by category-overlap (Jaccard on top 5 normalised categories). Each peer's hiring momentum is read from the same 14d / prior-14d windows.
Company Postings Similarity Momentum
Honda 171 43% stable
Porsche 40 43% stable
McLaren Automotive 19 33% stable
Amazon 17 33% stable
Ford Motor Company 510 25% stable
Strategic Themes
What this hiring is revealing

Coming soon.

Weekly LLM-synthesised brief — emerging capabilities, decaying capabilities, geographic shifts, seniority signals — drawn from the company's own posting tag distribution. Will populate once Phase 4 of the company-intelligence pipeline (OpenRouter long-context model) ships.

Latest
Most recent indexed postings
Banbury mid onsite Engineering
Banbury, Oxfordshire, England mid onsite Engineering
Banbury entry onsite Operations
Banbury mid onsite Legal
Banbury, Oxfordshire, England senior onsite Engineering
Banbury, Oxfordshire, England senior onsite Engineering
Banbury, Oxfordshire, England senior onsite Engineering
Methodology & Sources
How this is computed

Last enriched: 2026-03-20.

Company-data sources: wikidata, news

Hiring aggregates run live against D1; cached at the edge for up to 24 hours. AI-exposure scores derive from O*NET 30.2 occupation taxonomy crossed with the Anthropic Economic Index 2026-03-24 release.

Caveats: salary parser uses 2024 FX snapshot rates; long-tail location strings may bucket as "Unknown"; Location Quotient excludes companies with fewer than 5 indexed roles to keep ratios stable. Salary disclosure under 20% triggers a warning on the salary chart.

Machine-readable equivalents: /companies/prodrive.json · /companies/prodrive.md · api.yubhub.co/stats/company/prodrive