OUR SECTORS
At European Tech Recruit, our sectors cover a wide range of industries within the field of technology.
tech jobs in the US?
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tech jobs in the US?
At European Recruitment, our sectors cover a wide range of industries within the field of technology
At European Recruitment, our sectors cover a wide
range of industries within the field of technology
At European Recruitment, our sectors cover a wide
range of industries within the field of technology
Client services
Learn about the range of client services we offer at European Tech Recruit, and browse through our case sudies.
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tech jobs in the US?
At European Recruitment, our sectors cover a wide range of industries within the field of technology
About us
Learn about European Tech Recruit's mission, values, our team, and our commitment to DE&I.
tech jobs in the US?
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At European Recruitment, our sectors cover a wide range of industries within the field of technology
Data Science
Recruitment
We assess more than tools and keywords. While it's by no means the only sector we work in, one of the things that makes us an effective data science headhunter is the importance we place on looking at actual, 'hands on' delivery experience and communication style, so the professionals we introduce can contribute effectively from day one.
Our Data Science Recruitment Specialisms
We recruit across a wide range of data-focused roles, from data analysts and data engineers to machine learning and advanced analytics specialists. Our data science recruitment activities support organisations that need people who can handle complex datasets and apply insight in a practical business context. We prioritise candidates who can explain their thinking clearly and work effectively with technical and non-technical stakeholders.
Big Data Executive Search
Data Engineering Recruitment
Database Recruitment
Why Us?
Data hiring has become more complex as tools and specialisms, along with changing role expectations, continue to evolve. Through data science recruitment, we stay close to these shifts in the industry, and maintain active networks across analytics, machine learning, and data engineering communities in Europe and the UK. This gives us access to experienced professionals who are not always visible through job board advertising.
In our data science headhunting work, as in the wider tech recruitment work that we do, we focus on understanding the technical requirements and the working environment around the role. We speak directly with candidates about real project experience and delivery challenges, as well as how they collaborate within teams, not just tool familiarity.
Our assessment approach covers both technical capability and how someone works within a team. That helps us introduce candidates who are aligned with the role scope and organisational context, not just the technical checklist.
Data Recruitment Success Stories
We may not be a dedicated 'data scientist recruitment agency’ as our target areas encompass the European tech sector more broadly than that, but nevertheless we have been able to support organisations across Europe and the UK by placing experienced data specialists into critical technical roles. Our approach to data science recruitment covers both senior and highly specialised hires, depending on each client’s needs.
What Our Clients Say
Data Recruitment FAQs
What roles do you recruit for within the data science industry?
Our approach to data science recruitment covers both technical and leadership roles across analytics and data platforms. Typical positions include:
- Machine Learning Engineer
- Business Intelligence Analyst
- Data Architect
- Database Administrator
- Big Data Engineer
- Data Solutions Specialist
- Apache Spark Developer
- Hadoop Administrator
- Data Warehouse Analyst
- Data Lakehouse Architect
- Data Mining Specialist
- Data Integration Engineer
- Data Modelling Analyst
- Apache Flink Developer
- Data Strategy Consultant
Is there a demand for data scientists?
Yes. Demand remains strong across multiple sectors as organisations rely more heavily on data for planning, product development, and operational decisions. Many teams are also expanding their analytics and machine learning capability, which continues to increase hiring activity for experienced data professionals.
What data science skills are in high demand?
We regularly see demand for Python and R, applied statistics, machine learning, and data modelling. Experience with distributed data tools such as Spark and Hadoop is often requested too, along with SQL and NoSQL database knowledge. Employers also value candidates who can explain findings clearly, and work across technical and business teams.
How do you maintain a strong data candidate network across Europe?
We stay in regular contact with data professionals across our core markets, and build long-term relationships with candidates in specialist areas. Like other established data science recruiting firms, much of our network comes from repeat engagement, referrals, and targeted outreach rather than job board activity alone.
How do you assess a candidate’s capability in machine learning and AI?
We discuss practical project experience in detail and review how candidates have applied machine learning or AI techniques in real delivery environments. Where clients use technical assessments as part of their hiring process, we coordinate around those requirements. We do not run independent technical testing without client input.
What specialisations are currently most requested in data hiring?
Hiring demand commonly includes machine learning, applied AI, data engineering, and large-scale analytics platforms. Our agency supports data science recruitment as part of our broader technology hiring coverage across multiple specialist areas.
How do you handle data compliance and GDPR awareness when screening candidates?
For roles involving regulated data, we discuss prior experience working with compliance standards and data governance practices. Final compliance validation typically sits within the client’s own hiring and onboarding process.
Do you evaluate soft skills as well as technical ability?
Yes. We discuss communication style and collaboration approach during our interviews, including asking how the candidate solves problems. This helps us understand how someone actually operates within a team, not just their technical toolkit.
How quickly can you fill a data science role?
Timelines vary depending on the level of seniority and the technical requirements. We often provide an initial shortlist within 2-4 weeks. Permanent placements are typically completed within 1-2 months, while contract roles are usually filled within 4-6 weeks.
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