From developers to data specialists, we deliver top tech professionals
Targeted Recruitment for Analytics, Data Science, and BI Success
At Deerfoot, we provide high-quality, data-focused IT professionals uniquely aligned with your company’s technical needs and culture. Through a meticulous, multi-step assessment process (learn more about that here), we secure hires who not only meet the technical demands of the role but also integrate seamlessly within your team, driving immediate and lasting impact.
As a specialist tech recruitment agency, we understand that data roles (across Analytics, Data Science, and Business Intelligence) require precise skill sets. A data scientist with Python and SQL expertise may not suit a position that demands R or cloud proficiency in Azure, AWS, or Google Cloud. Our tailored approach to data-focused recruitment assesses candidates’ expertise in the specific tools and platforms you rely on, ensuring each search targets the exact technical competencies you need.
With Deerfoot as your data recruitment partner, you gain access to highly specialised professionals who are prepared to meet your project goals from day one. Our selection process goes beyond generic profiles, delivering talent who will contribute meaningfully to your team's long-term success.
Our 3 month, 100% refund promise
Our data recruitment process is designed to consistently deliver high-quality candidates. If a placement doesn’t meet expectations within the first three months, we offer an industry leading 100% refund, giving you peace of mind in every hire.
Hire Better Data Talent with Deerfoot
From data analysts to data scientists, our specialised data recruitment services connect you with the skilled professionals who can drive insights and innovation in your organisation.
Below are some of the data roles we specialise in.
Data Analytics
A diverse range of roles include: Data Analyst, Data Quality Analyst and Financial Data Analyst
Data Science
Key roles includes: Data Scientist, Machine Learning Engineer, AI Engineer, NLP Engineer and Deep Learning Engineer
Data Engineering
Notable positions include: Data Engineer, Data Architect, ETL Developer, Big Data Engineer and SQL Developer
Additional Roles
Further opportunities include: Data Governance Specialist, Data Science Manager, Data Transformation Lead and Data Ethics Consultant
We’ve secured thousands of successful tech hires
Effectively Meeting the Needs of Our Clients
Maximising the chances of securing top data talent
Our comprehensive, multi-step recruitment process is designed to help you hire the best talent for your data teams. We thoroughly assess candidates, not only for technical skills but also for cultural fit, ensuring they align with your team and organisational values.
By taking this holistic approach, we help you build high-performing data functions and support long-term success for your hires.
Whether you're looking for data analysts, data scientists, or business intelligence specialists, our recruitment process is tailored to deliver the right candidates every time.
A proven success
Deerfoot Recruitment was proud to partner with Quilter, a leading global wealth management company with headquarters in Southampton, to successfully appoint their Head of Data.
The individual we placed has delivered a significant uplift in performance and made a measurable impact on Quilter’s business outcomes. We were especially pleased to support Quilter’s commitment to diversity by sourcing top female talent for this senior leadership role.
With an IT department of over 200 professionals and more than £119 billion in assets under management, Quilter has trusted Deerfoot as a key technology recruitment partner for over a decade.
Data Talent Market Insights
Q2 2025: Market trends in data
Data is powering a new phase of strategic transformation in 2025. Following a measured approach in 2024, organisations are now shifting from experimentation to large-scale deployment, especially in regulated sectors like finance and healthcare.
Demand is rising for hybrid professionals who combine deep technical expertise with domain knowledge, as businesses seek to implement advanced AI, machine learning, and real-time analytics solutions. Key priorities include responsible AI, data governance, and ethics, alongside a growing focus on data engineering and infrastructure. Roles that can translate complex data into actionable business strategies-particularly those skilled in AI-driven platforms and automated analytics-remain in high demand, with salaries and opportunities reflecting the market’s rapid evolution.
Helping you secure the right data talent. Recruitment benchmarking
Our benchmarking service provides valuable insights into the current market rates for data roles, helping you make informed decisions when hiring.
