Insights
For Job Seekers
Denver Data & Analytics -- Job Seeker Guide
Invest in Airflow, Snowflake, and dbt skills alongside Python and SQL. These tools appear in 10-11% of postings and are frequently paired together, reflecting the leading data infrastructure pattern i...
Denver Data & Analytics -- Job Seeker Guide
27% of tracked roles include employer-disclosed salary ranges. Where available, use these figures to benchmark expectations before negotiating.
London Data & Analytics -- Job Seeker Guide
AI appears in 15% of tracked roles as a skill requirement, and AI and Machine Learning is the fastest-growing industry segment (+3.0pp). Pairing Python (35%) and SQL (33%) with AI/ML capabilities posi...
London Data & Analytics -- Job Seeker Guide
Python (34%) and SQL (31%) remain the two most requested skills among tracked roles, and the Python + SQL pair appears in 21% of postings. Ensure these are front and center on your CV, with concrete p...
New York Data & Analytics -- Job Seeker Guide
With 27% of roles focused on ML Engineering and a median salary of $229,500 among those with disclosed pay, investing in production ML skills (PyTorch, model deployment, MLOps) likely offers a strong ...
New York Data & Analytics -- Job Seeker Guide
These sectors account for 25% of roles. Capital One alone has 7% of tracked postings, suggesting active hiring programs.
San Francisco Data & Analytics -- Job Seeker Guide
With 36% of roles seeking ML Engineers, investment in production ML skills offers the strongest job security. Focus on Python (53% demand), PyTorch (11%), and MLOps tools like Airflow (11%). The combi...
San Francisco Data & Analytics -- Job Seeker Guide
With 40% of positions being ML Engineer roles, candidates with PyTorch, TensorFlow, and LLM experience are well-positioned in this market.
Singapore Data & Analytics -- Job Seeker Guide
With ML Engineers leading demand at 25%, focus on practical experience with production ML systems, not just model building.
AI Skills Are Reshaping London's Data Hiring Market
London's data job market is shifting toward AI-heavy roles. ML Engineer now accounts for 22% of tracked specializations, overtaking Data Engineer (20%) for the first time. AI appeared in 10% of skill mentions and LLMs in 6%, while Python and SQL remain the foundational pair at 34% and 31% respectively.
From Data Analyst to Data Engineer: Consumer to Producer
A third of data engineering skills overlap with analyst roles, but the other two-thirds are almost entirely infrastructure. Here's what the market data shows about making the transition.
From Data Scientist to ML Engineer: When SQL Stops Being the Point
SQL appears in 85% of data scientist roles and 19% of ML engineer postings. The transition is fundamentally about moving from the analytical layer to the systems layer.
Emerging Skills Radar: What Companies Are Actually Hiring For
The gap between what the AI conversation emphasises and what hiring managers actually screen for is wider than most people assume. LLM appears in 16% of descriptions while context engineering barely registers.
Hidden Job Families: The Roles Nobody Talks About
Project and programme managers together account for 4,229 postings -- 37% of all tracked roles. Analytics engineering, growth PM, and platform PM are substantial markets with distinct profiles that rarely feature in career advice.
Monthly Market Pulse: January-February 2026
Delivery management is surging while data and product roles cool. Project manager postings nearly doubled (+95%), while technical PM dropped 65% and data engineering fell 47%.
The Seniority Skills Ladder: How Skill Requirements Change as You Level Up
Leveling up is defined as much by what drops off your requirements as by what gets added. SQL drops 9 points from junior to senior. AI climbs 5 points. Seniority is a move from tools to judgment.
For Employers
Denver Data & Analytics -- Employer Benchmarks
With 67% of roles already remote, simply offering remote work is table stakes. Differentiate through other factors: async-first culture, equipment stipends, co-working allowances, or quarterly in-pers...
Denver Data & Analytics -- Employer Benchmarks
With 69% of roles offering remote work, on-site requirements may limit your candidate pool considerably.
London Data & Analytics -- Employer Benchmarks
ML Engineer and Data Engineer together account for 44% of tracked roles. AI has become the most scarce technology skill in the UK, with top candidates often receiving multiple offers (Harvey Nash, 202...
London Data & Analytics -- Employer Benchmarks
With 60% of tracked roles targeting Senior-level candidates and the Senior-to-Junior ratio at 7:1, employers are competing heavily for experienced hires. Consider whether some Senior-labeled roles cou...
New York Data & Analytics -- Employer Benchmarks
Among the 21% of tracked roles with disclosed salary ranges, ML Engineers show a $190K-$260K range (25th-75th percentile). The $192,500 overall median among disclosed ranges may serve as a useful star...
New York Data & Analytics -- Employer Benchmarks
Among roles with disclosed salaries, ML Engineers show a $225K median vs $168K for Data Engineers. Budget accordingly for AI/ML initiatives.
San Francisco Data & Analytics -- Employer Benchmarks
With a $205K median among the 34% of tracked roles disclosing salary ranges and Research Scientists reaching $251K, salary expectations are calibrated to SF market rates regardless of your company's l...
San Francisco Data & Analytics -- Employer Benchmarks
With ML Engineer roles at 40% of the market, competition for this talent is intense. Consider competitive packages and clear growth paths.
Singapore Data & Analytics -- Employer Benchmarks
With Enterprise employers dominating at 63%, scale-ups and startups may need to emphasize unique value propositions to attract talent.
AI Skills Are Reshaping London's Data Hiring Market
London's data job market is shifting toward AI-heavy roles. ML Engineer now accounts for 22% of tracked specializations, overtaking Data Engineer (20%) for the first time. AI appeared in 10% of skill mentions and LLMs in 6%, while Python and SQL remain the foundational pair at 34% and 31% respectively.
Competitive Hiring Benchmarks: Is Your Job Spec Aligned with the Market?
If your data engineer posting lists 20 required skills, the market median is 11. If you're offering onsite-only for an ML role, 74% of competing postings offer remote or hybrid.
Emerging Skills Radar: What Companies Are Actually Hiring For
The gap between what the AI conversation emphasises and what hiring managers actually screen for is wider than most people assume. LLM appears in 16% of descriptions while context engineering barely registers.
Fill Rate Intelligence: How Long Does It Actually Take to Hire?
The median time to fill is 33 days across all roles. Project managers fill fastest at 30 days. ML engineers take longest at 36. These benchmarks exist, but most hiring managers operate without them.
Hidden Job Families: The Roles Nobody Talks About
Project and programme managers together account for 4,229 postings -- 37% of all tracked roles. Analytics engineering, growth PM, and platform PM are substantial markets with distinct profiles that rarely feature in career advice.
Monthly Market Pulse: January-February 2026
Delivery management is surging while data and product roles cool. Project manager postings nearly doubled (+95%), while technical PM dropped 65% and data engineering fell 47%.
The Seniority Skills Ladder: How Skill Requirements Change as You Level Up
Leveling up is defined as much by what drops off your requirements as by what gets added. SQL drops 9 points from junior to senior. AI climbs 5 points. Seniority is a move from tools to judgment.
Skills Inflation Tracker: Are Employers Asking for More Than They Used To?
The skills inflation narrative is overstated. Average skills per posting held steady at 9.4-9.6 across all roles. AI skill demands have stabilised at roughly a third of all postings.
Talent Pool Sizing: Where the Demand Is and Who's Driving It
Google alone accounts for 9.4% of all programme manager postings. The data engineer market is so fragmented that no employer holds more than 2.1%. These concentration patterns shape hiring strategy.
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