London Data & Analytics: Python, SQL, AI Lead 1,468 Roles -- December 2025
BetaAmong tracked employers, London's data hiring in December 2025 recorded 1,468 roles across 878 companies. Professional Services led at 18% of tracked postings, while AI and Machine Learning grew +3.0pp to 11%. Remote work led working arrangements at 53% of direct employer postings, with an overall flexibility rate of 86%.
This report analyzes 1,468 Data & Analytics job postings from 878+ companies tracked via direct employer career pages and job board aggregators. Our coverage skews toward tech-forward and scaling companies; large enterprises using enterprise hiring platforms may be underrepresented. Coverage varies by section and is noted throughout.
Key Takeaways for Hiring Managers
Compensation
Compensation data excluded due to low disclosure rates in markets without pay transparency legislation.
Employers Hiring for Data & Analytics Roles
New This Month
Wayve, JPMorgan Chase, Mistral
Market interpretation: Wayve leads tracked postings at 1%, followed by JPMorgan Chase at 1% and Mistral at 1%. Three new entrants appeared in the top employers list compared to November: Wayve, JPMorgan Chase, and Mistral. The presence of both autonomous vehicle (Wayve) and AI foundation model (Mistral) companies among top hirers reflects London's growing position as a hub for applied AI research and engineering.
Industry Distribution
58% of roles with industry data
Biggest Gainer
AI & Machine Learning
+3pp
Biggest Decline
Consumer Tech
-7.2pp
Among tracked employers, Professional Services leads London's data hiring at 18% of roles, followed by Fintech at 13% and AI and Machine Learning at 11%. AI and ML saw the largest gain at +3.0pp from November, consistent with AI becoming the most scarce technology skill in the UK (Harvey Nash, 2025). Consumer Tech saw the largest decline at -7.2pp, which may reflect seasonal Q4 budget tightening. Financial Services and E-commerce each accounted for 7% of tracked postings.
Role Specialization
Biggest Gainer
Data Engineer
+4.5pp
Biggest Decline
Data Architect
-6.4pp
ML Engineer and Data Engineer each account for 22% of tracked roles, together representing 44% of all demand. Data Analyst follows at 18% and Data Scientist at 16%. Data Engineer grew +4.5pp month-over-month, the largest role share increase, likely reflecting continued investment in data infrastructure. Data Architect declined -6.4pp to 6%, which may indicate seasonal slowing in governance-focused hiring.
Seniority Distribution
Junior: 0-2 years | Mid-Level: 3-5 years | Senior: 6-10 years | Staff/Principal: 11+ years (IC track) | Director+: Management track
Biggest Gainer
Senior
+3.5pp
Biggest Decline
Director+
-4.1pp
Senior-to-Junior Ratio
8:1
Senior+ roles per Junior role
Entry Accessibility Rate
28%
Junior + Mid-Level roles combined
Senior roles account for 55% of tracked postings, up +3.5pp from November. Director+ roles saw the largest decline at -4.1pp, dropping to 7%. The 8:1 senior-to-junior ratio positions London as more accessible than the US markets tracked. Entry accessibility at 28% (junior 9% + mid-level 19%) is the highest among tracked cities, providing a moderate pipeline for early-career candidates.
Company Maturity
54% of roles with company age data
Among tracked employers with company age data (54% coverage), growth-stage firms (6-15 years) lead at 47%, followed by mature companies at 39% and young companies at 14%. The growth-stage majority is consistent with London's active venture and scale-up ecosystem, particularly in fintech and AI where firms founded in the 2010s are now scaling their data teams.
Ownership Type
55% of roles with ownership data
Among tracked employers with ownership data (55% coverage), private companies account for 61% of roles, followed by public companies at 30% and subsidiaries at 8%. The private-company majority reflects London's deep pool of venture-backed and growth-equity firms, particularly in fintech and AI where scaling companies account for a large share of data hiring.
Employer Size Distribution
57% of roles with company size data
Among tracked employers with size data (57% coverage), enterprises (1,000+ employees) account for 42% of roles, scale-ups (50-1,000) for 35%, and startups for 23%. The relatively balanced distribution across company sizes provides data professionals with opportunities spanning different organizational stages, from established enterprises like JPMorgan Chase to AI startups like Mistral.
Working Arrangement
Onsite: office full-time | Hybrid: mix of office and remote | Remote: work from anywhere | Flexible: employee chooses arrangement
93% of direct employer postings with known working arrangement
Among 349 direct employer postings with classified working arrangements, remote leads at 53%, followed by hybrid at 21%, onsite at 14%, and flexible at 12%. The combined flexibility rate of 86% positions London's tracked data market among the more flexible of tracked cities. However, 30% of UK companies plan to require five-day office attendance by 2026 (Fair Play Talks, October 2025), which may shift this balance. Currently, over 40% of UK workers spend at least part of their week working remotely (IT Desk UK, 2025).
Skills Demand
67% of roles with skills data
Skills insight: Python (35%) and SQL (33%) remain the core skill pair, co-occurring in 18% of tracked roles with skills data. AI (15%) and Machine Learning (13%) are the next most common, reflecting the growing integration of AI across data functions. AWS leads cloud platforms at 11%, followed by Azure (8%) and GCP (6%). The modern data stack is represented with dbt (8%), Snowflake (7%), and Airflow (6%). PyTorch at 7% and LLMs at 6% indicate growing demand for deep learning and generative AI capabilities.
Market Context
Methodology
This report analyzes direct employer job postings for Data & Analytics roles in London during December 2025.
Data collection:
- 1.Over 1,400 roles from 878+ employers aggregated from multiple sources
- 2.Recruitment agency postings identified and excluded (4% of raw data)
- 3.Jobs deduplicated across sources to avoid double-counting
Classification:
- 1.Roles classified using an LLM-powered taxonomy
- 2.Subfamily, seniority, skills, and working arrangement extracted
- 3.Employer metadata enriched from company databases where available
Limitations:
- 1.Not a complete census of the market - some roles may not be captured
- 2.Skills analysis based on 982 roles with skill data (67% coverage)
- 3.Salary data not included due to low disclosure rates
- 4.Working arrangement based on 349 direct employer postings (Adzuna excluded)
Data coverage:
80%
Seniority coverage
Roles with seniority level classified
93%
Arrangement coverage
Roles with working arrangement known
67%
Skills coverage
Roles with skills extracted from description
60%
Employer metadata
Roles with enriched company data
Want interactive dashboards and the full dataset?
Sign up for free to access the dashboard, job feed, and detailed reports.