10 Best Data Science and AI Recruiting Firms for 2026

Key takeaway: The 10 best data science and AI recruiting firms for 2026 are: Harnham, Burtch Works, Big Cloud, Alldus, Xcede, Riviera Partners, Harrison Clarke, Intelletec, Smith Hanley Associates, and Glocomms. Harnham and Burtch Works are the most established data and analytics specialists in the US; Big Cloud, Alldus, and Xcede focus on machine learning and AI engineering; Riviera Partners leads executive search for heads of data and AI; Harrison Clarke, Intelletec, and Glocomms cover AI engineering and data roles across startups and enterprises; Smith Hanley specializes in quantitative and analytics talent for insurance and financial services.

Data science and AI recruiting firms place machine learning engineers, data scientists, data engineers, AI researchers, analytics leaders, and the executives who run data organizations. The market has split in the past three years: demand for generalist data scientists has cooled while demand for engineers who can build and deploy large language model applications, machine learning infrastructure, and data platforms has intensified, and the best recruiters have retooled accordingly.

The growth figures remain striking. The US Bureau of Labor Statistics projects 36% growth for data scientists from 2023 to 2033, among the fastest of any occupation, and the World Economic Forum's Future of Jobs Report 2025 ranked AI and machine learning specialists as the fastest-growing job category globally. McKinsey's 2024 State of AI survey found that 72% of organizations had adopted AI in at least one business function, up from about 50% the prior year, which has pushed AI hiring beyond technology companies into banks, insurers, retailers, and manufacturers.

This ranking covers firms that specialize in data, analytics, and AI talent. For broader software engineering searches, see our technology recruiting firms list; for contract data engineers and analysts, see IT staffing agencies.

How did we evaluate data science and AI recruiting firms?

The 10 firms at a glance

The 10 best data science and AI recruiting firms

1. Harnham

Type: Data, analytics, and AI recruiting Headquarters: London, UK Best for: Data science, machine learning, data engineering, and analytics roles from analyst to director in major US metros

Harnham is one of the largest recruiting firms dedicated to data and analytics, with US offices in New York, San Francisco, and Phoenix and a London headquarters. It places data scientists, machine learning engineers, data engineers, analytics managers, and data leaders on permanent and contract terms, organizing its consultants by discipline so that a computer vision role is handled by someone who understands computer vision. Its annual US Data and AI Salary Guide is one of the most-cited compensation references in the field.

Strengths:

• Largest dedicated data and analytics recruiting team in the US
• Consultants organized by data discipline
• Widely used salary and market research

Limitations:

• Less executive search depth than Riviera Partners
• High-velocity model produces variable shortlist curation

2. Burtch Works

Type: Data science, analytics, and AI recruiting Headquarters: Evanston, IL Best for: Enterprises hiring data scientists, analytics leaders, and AI professionals, with trusted compensation research

Burtch Works has recruited quantitative and analytics professionals since 1988 and was among the first firms to specialize in data science, placing data scientists, machine learning engineers, analytics managers, and chief data and analytics officers at Fortune 500 companies and consultancies. Its annual data science and analytics salary studies are widely cited in industry and press, and its recruiters are known for frank advice on role design and compensation to enterprise clients building or rebuilding data teams.

Strengths:

• Longest track record in analytics and data science recruiting
• Authoritative salary studies
• Strong Fortune 500 and consulting client base

Limitations:

• Enterprise focus with less startup coverage
• Smaller team than Harnham

3. Big Cloud

Type: Machine learning, AI, and data science recruiting Headquarters: Manchester, UK Best for: AI-native startups and research-driven teams hiring machine learning engineers, researchers, and applied scientists

Big Cloud recruits exclusively in machine learning, deep learning, and data science, placing research scientists, machine learning engineers, and applied AI specialists for startups, scale-ups, and research labs in the US and Europe. Its consultants track the AI research community closely, attend the major conferences, and understand the difference between a researcher who publishes and an engineer who ships, which makes it a strong fit for companies building core AI products rather than applying off-the-shelf models.

Strengths:

• Deep focus on machine learning and AI research talent
• Active in the AI research and conference community
• Strong startup and scale-up relationships

Limitations:

• Narrower coverage of analytics and data engineering
• Smaller US presence than Harnham

4. Alldus

Type: AI, data, and cloud recruiting Headquarters: Dublin, Ireland Best for: AI and data engineering roles at startups and enterprises on the US East Coast and in Europe

Alldus recruits for artificial intelligence, data science, data engineering, and cloud roles from offices in Dublin, New York, and other hubs, serving both AI-native startups and enterprises adopting machine learning. It places engineers and scientists on permanent and contract terms and is known for strong relationships with venture-backed AI companies on the East Coast and in Europe. The firm also runs a podcast and events series that keep it connected to the AI practitioner community.

Strengths:

• Strong venture-backed AI startup network
• Permanent and contract options
• Transatlantic coverage

Limitations:

• Smaller West Coast presence
• Less analytics leadership search depth

5. Xcede

Type: Data, AI, and technology recruiting Headquarters: London, UK Best for: Machine learning, data engineering, and data platform roles at technology companies and enterprises in the US and UK

Xcede is a technology recruiting firm whose data and AI practice places machine learning engineers, data engineers, data scientists, and data platform specialists for technology companies, financial services firms, and enterprises in the US, UK, and Europe. Its US practice has grown alongside the demand for engineers who can build production data and AI systems, and it works on both permanent and contract terms with an emphasis on technical screening.

Strengths:

• Strong data engineering and platform coverage
• Permanent and contract recruiting
• UK and US coverage for global teams

Limitations:

• Data is one practice within a broader tech recruiter
• Smaller brand in the US than Harnham or Burtch Works

6. Riviera Partners

Type: Technology executive search with a data and AI leadership practice Headquarters: San Francisco, CA Best for: Chief data officer, VP of data science, and head of AI searches at venture-backed and public technology companies

Riviera Partners is one of the leading executive search firms for technology leadership, and its data and AI practice places chief data officers, VPs of data science and machine learning, heads of AI, and senior engineering leaders at venture-backed startups, growth companies, and public technology firms. It combines a traditional retained model with a proprietary platform that tracks technology leaders across the industry, and it has deep relationships with Silicon Valley venture firms that rely on it for portfolio company searches.

Strengths:

• Leading technology executive search firm for data and AI leaders
• Strong venture capital and growth company relationships
• Data-driven approach to talent mapping

Limitations:

• Executive-level only
• Retained fees and Bay Area concentration

7. Harrison Clarke

Type: AI, data, and cloud engineering recruiting Headquarters: New York, NY Best for: Companies hiring machine learning, data, and platform engineers from senior individual contributor through director level

Harrison Clarke recruits for AI, data, and cloud infrastructure roles from offices in New York and San Francisco, with a focus on senior engineers and engineering leaders who build production machine learning and data systems. Its consultants specialize by discipline, and the firm works with AI-native startups, financial services firms, and enterprises on both permanent and contract searches. It has built a reputation for thorough technical screening and realistic compensation guidance in competitive AI markets.

Strengths:

• Strong senior AI and data engineering coverage
• Offices in both major US AI hubs
• Permanent and contract searches

Limitations:

• Smaller than Harnham
• Less executive search depth than Riviera

8. Intelletec

Type: AI, data, and software engineering recruiting Headquarters: New York, NY Best for: Startups and scale-ups hiring machine learning engineers, data scientists, and AI product talent in New York, San Francisco, and remote

Intelletec is a technology recruiting firm with a strong AI and data practice, placing machine learning engineers, data scientists, AI researchers, and data engineers for startups and scale-ups from offices in New York and San Francisco. It is known for long relationships with venture-backed companies and for consultants who stay in their technical niches, and it works on permanent, contract, and embedded recruiting terms. Companies building their first AI teams often use it alongside their own sourcing.

Strengths:

• Strong startup and scale-up AI network
• Permanent, contract, and embedded options
• Consultants with narrow technical focus

Limitations:

• Less enterprise and Fortune 500 coverage
• Smaller team than the largest specialists

9. Smith Hanley Associates

Type: Quantitative, analytics, and data science recruiting Headquarters: Southport, CT Best for: Insurance, financial services, and marketing analytics teams hiring data scientists, statisticians, and quantitative modelers

Smith Hanley Associates has recruited quantitative professionals since 1980, placing data scientists, statisticians, predictive modelers, and analytics leaders primarily in insurance, financial services, pharmaceuticals, and marketing analytics. Its consultants have quantitative backgrounds, and the firm is particularly strong where data science meets regulated industries and actuarial or clinical statistics. It is a strong complement to the technology-focused firms above for enterprises outside the tech sector.

Strengths:

• Deep quantitative and statistical recruiting expertise
• Strong insurance and financial services relationships
• Recruiters with quantitative backgrounds

Limitations:

• Less coverage of AI-native startups
• Smaller machine learning infrastructure practice

10. Glocomms

Type: Technology recruiting with a data and AI practice (part of Phaidon International) Headquarters: New York, NY Best for: Enterprises and technology companies hiring data, AI, and cloud professionals at volume across the US

Glocomms is the technology brand of Phaidon International and places data scientists, machine learning engineers, data engineers, and AI specialists alongside its broader software, cloud, and cybersecurity practices, with offices across the US. Its scale lets it run multiple searches in parallel and cover secondary markets, and it works on contingency and retained terms. It is useful for companies that need several data and AI hires at once and want a single firm with national reach.

Strengths:

• National scale and parallel search capacity
• Contingency and retained options
• Broader technology coverage alongside data and AI

Limitations:

• Generalist technology firm rather than data-only specialist
• High-volume model produces less curated shortlists

When should you use a specialist AI recruiter?

Data and AI roles reward specialist recruiting more than most because the field moves fast and titles mean little: a "machine learning engineer" at one company fine-tunes language models and at another maintains a recommendation pipeline. Specialist firms earn their 20-25% contingency fees by screening for the actual skill and by reaching candidates who ignore generic recruiter outreach. For head of data and AI leadership roles, retained search through Riviera Partners or a general technology search firm at 30-35% is justified because the hire shapes the entire data strategy. For analysts and junior data scientists, where supply has grown substantially since 2022, internal recruiting or an AI sourcing platform is usually sufficient.

Companies hiring data and AI engineers continuously, which now includes most technology companies and many banks and insurers, spend heavily on agency fees. Our cost-per-hire benchmarks and AI agent versus recruiting agency comparison show where an internal sourcing capability pays for itself.

How Noon fits alongside data and AI recruiters

The best machine learning engineers and data scientists are employed, heavily recruited, and selective about who they respond to. Noon runs autonomous sourcing agents that continuously find and screen candidates across the open web against your actual hiring bar, evaluating the caliber of their work, the companies and labs they have come from, and career trajectory, then run personalized email and SMS outreach that references their real projects. It is one flat plan with unlimited roles and seats (see pricing). Teams use Noon as the always-on channel for engineering and science roles and engage a retained firm for data leadership searches; our AI recruiting guide explains how to set it up.

FAQ

What does a data science recruiting firm do? A data science recruiting firm identifies, screens, and presents candidates for data scientist, machine learning engineer, data engineer, analytics, and AI roles. Specialist firms employ recruiters who can assess technical skills and understand the differences between research, applied, and infrastructure roles.

How much do AI recruiters charge? Contingency fees for data and AI roles typically run 20-25% of first-year base salary, paid only on a hire. Retained searches for chief data officers and heads of AI cost 30-35% of first-year compensation. Contract placements are billed hourly with a markup on the contractor's rate.

Which firm is best for a chief data officer search? Riviera Partners is the leading technology executive search firm for data and AI leadership. Burtch Works and Harnham also place senior data leaders, and the large generalist search firms run chief data officer searches through their technology officer practices.

Which firms specialize in machine learning research talent? Big Cloud focuses on machine learning and AI research roles and is active in the research community. Alldus, Harrison Clarke, and Intelletec also place research scientists and applied scientists at AI-native companies.

How long does it take to hire a machine learning engineer? With a specialist recruiter, senior machine learning engineer roles typically take eight to twelve weeks because candidates are employed and often weighing several offers. Leadership searches run three to five months. Clear role definition and fast interview loops shorten timelines significantly.