Artifical Intelligence
Hiring for Agentic AI in the Netherlands: What We’re Seeing
Recently, we’ve been running a few searches in the Netherlands for people with experience in agentic AI. It’s not surprising that demand is increasing. More companies are moving beyond experimentation with GenAI and starting to think about how AI agents can support real business processes. However, hiring for these roles has been more complicated than…
Read MoreAI Driven Data – Built in the North and Midlands | AI in CRO and Experimentation
Across organisations, AI is rapidly changing how data-driven teams operate, from how insights are generated to how decisions are made and executed. Whether it’s CRO, Engineering, Analytics, or Data Science, each function is experiencing a shift in responsibilities, required skillsets, and the speed at which value can be delivered. In this series, I am working…
Read MoreAI in Private Equity: How Talent Strategy Drives Portfolio Value Creation
by Nick Mandella, Director at Harnham. Most PE firms are investing in AI, but returns remain mixed. Research from KPMG shows that around 80% of organisations view AI as critical to competitive advantage, and just over half report some level of return. Alongside this, work from Boston Consulting Group suggests only around 5% are generating…
Read MoreHow to Choose the Right AI Recruitment Agency in the US
Kyle Arriola, Harnham’s AVP of Data & AI Talent Acquisition, recently spoke with Simon Clarke, CEO of Harnham Group, about how companies should approach choosing the right AI and data recruitment partner in the US. The conversation focused on common challenges hiring teams encounter today, including, unclear role definitions, inconsistent job titles, and difficulty assessing…
Read MoreWhy Dutch-Speaking Data & AI Talent Is So Hard to Hire
by Ross Henderson, Director at Harnham. Why it’s so hard to hire Dutch-speaking Data & AI talent in the Netherlands One thing we’ve seen consistently is: It is significantly harder to engage mid-to-senior Dutch-speaking Data and AI professionals than their English-speaking counterparts. Even at the very first step. Our response rates to outreach are less…
Read MoreReskilling & Upskilling: What US Data Professionals Are Doing
By Luc Simpson-Kent, Managing Consultant – Harnham US Candidates want growth. Employers want retention. And in today’s market, both goals rely on the same thing: continuous learning. The pace of change in data and AI means even the most experienced professionals are going back to school, literally and figuratively. Across the US, data scientists, engineers…
Read MoreThe Key to a Strong AI Team: Diversity
by Tom Brammer, Senior Manager – AI and Machine Learning US Team Every company wants to build world-class AI capabilities. The challenge is that technical brilliance alone is not enough. The strongest AI teams are those that combine elite skills with diverse perspectives. Without diversity, the risk of bias multiplies and the value created by…
Read MoreWhy US Companies Are Scaling AI with Contractors in 2025
Artificial intelligence has arrived in the workplace and it’s changing how companies are structured, resourced, and scaled. While nearly every business is investing in AI, McKinsey reports only 1% believe they’ve reached maturity. This suggests that leadership hesitation, not talent availability, is now the most common barrier to scaling AI. To bridge the gap between…
Read MoreHow Sacher.AI Strengthened Its GenAI Delivery in Just 12 Days
by Thomas Savidge, Principal Consultant – AI, Machine Learning and Data Science Sacher.AI, a UK-based innovation lab focused on behavioural health, needed to scale its GenAI capability to meet growing client demand. With deadlines approaching and projects in motion, they needed contractors who could deliver from day one, combining deep technical expertise with the confidence…
Read MoreFrom Zero to AI: How One Investment Firm Built a World-Class Team in 18 Days
A global investment advisor managing over $268 billion across real estate, equity, and credit needed to build their AI function from the ground up. No team. No roadmap. Just a mandate to lead the charge into intelligent automation, better risk modelling, and scalable innovation. They came to Harnham with a clear brief: find senior AI…
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