Agency Partners
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In the last 12 weeks, the Data Science Engineer job market in the United Kingdom has shown a fluctuating trend, with a total of 320 open positions reported at the peak in week 5. Comparatively, this figure remained considerably lower than overall tech job openings in Europe, which peaked at 2260 positions in week 6. Notably, while 10% of newly posted jobs typically remained filled, a concerning trend of job closures, particularly in weeks 3 and 4, highlights recruitment challenges within this sector. For hiring managers and CTOs, understanding these dynamics is essential for optimizing recruitment strategies aimed at the burgeoning Data Science job market in the United Kingdom.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
Understanding Recruitment | United Kingdom | Staffing And Recruiting | 2007 | 6 |
|
Roku | United States of America | Software Development | 2002 | 6 |
|
Meta | United States of America | Software Development | null | 5 |
|
Harnham | United Kingdom | Staffing And Recruiting | 2006 | 3 |
|
Vitol | Netherlands | Oil And Gas | 1966 | 2 |
|
Canonical | United Kingdom | Information Technology & Services | 2004 | 2 |
|
Indotronix Avani UK | null | null | null | 2 |
|
|
Starling Bank | United Kingdom | Banking | 2014 | 2 |
|
|
Ravelin Technology | United Kingdom | Information Technology & Services | 2014 | 2 |
|
|
Deliveroo | United Kingdom | Internet | 2013 | 2 |
The current job market for Data Science Engineers in the United Kingdom exhibits a competitive landscape, with a robust number of job openings compared to the available talent pool. For instance, while the UK has a significant number of Data Science job opportunities, the ratio of talent pool to job openings indicates a tighter market, suggesting challenges in recruiting qualified candidates. In contrast, countries like Germany, France, and Netherlands present a comparatively larger available talent pool relative to their job openings, indicating easier hiring conditions. As hiring managers, especially CTOs and Engineering Managers, navigate this competitive environment, understanding these metrics will be essential for formulating effective recruitment strategies in the UK tech sector.
In the UK, the Data Science job market displays a clear distribution in seniority levels among available positions. Mid-Senior level roles lead the way, comprising 56% of job postings, followed by Entry level positions at 24%, and Associate roles accounting for 8%. This hierarchy highlights the current demand and skill expectations within the Data Science sector in the United Kingdom.
In the United Kingdom's job market for engineering roles, the predominant employment type is full-time positions, accounting for 92% of job listings. Contract roles follow at 8%, while internships represent a smaller segment at just 1%. This distribution highlights the strong preference for stable, long-term employment among candidates in the tech sector.
The time to hire distribution for Data Science positions in the United Kingdom reveals critical insights into the market dynamics. Notably, the most significant portion of hires occurs within the 30 to 35 days range, accounting for 186 and 120 positions respectively. However, a considerable number of opportunities extend past 30 days, with 64 and 65 roles taking 20 and 25 days, respectively. As we analyze these hiring trends, it is evident that hiring managers need to be prepared for timelines exceeding a month, especially for Senior Data Science Developers. Therefore, understanding these timelines is crucial for CTOs and Engineering Managers looking to optimize their recruitment strategies in the competitive Data Science job market in the United Kingdom.
The Data Science job market in the Netherlands indicates a total of 40 new job postings within a week, with a competitive landscape reflected in the closure of up to 39 positions in a single week.
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The talent pool for Data Science Engineers in Estonia is relatively constrained, making the hiring landscape competitive despite a substantial number of job openings.
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The Data Science job market in Lithuania exhibits significant competition, with a talent pool of 800 professionals against 200 job openings, resulting in a jobs-to-talent pool ratio of 4.0.
View ReportIn the Data Science Engineers job market in the United Kingdom, London leads with a significant 71% of job openings, showcasing its dominance as a tech hub. Following London, Leeds accounts for 17% of the available positions, while Cambridge contributes 4%. This data underscores the concentration of Data Science Developer opportunities in major cities, highlighting the importance of regional focus for effective recruitment strategies.
The current landscape of the Data Science job market in the United Kingdom is heavily characterized by the adoption of several key technologies. Python leads the way with a significant presence, recorded at a frequency of 13,712, highlighting its central role in data manipulation and analysis. Following closely, SQL is utilized by 4,796 professionals, asserting its importance in database management and querying. Additionally, Machine Learning frameworks, reflected in their 4,835 occurrences, are crucial for developing predictive models. The growing emphasis on AI technologies, evidenced by a frequency of 2,779, further underlines the innovation driving the Data Science sector. A chart accompanying this analysis provides a visual representation of these technologies and their frequencies, offering valuable insights for hiring managers navigating the Data Science job market.
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