Agency Partners
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In recent weeks, the Data Science Engineer job market in Italy has demonstrated notable fluctuations, particularly in the number of new positions posted. For instance, there was a peak of 548 new Data Science job openings reported in week 6, followed by a decline in subsequent weeks, stabilizing around 400 new jobs in weeks 11 through 14. This trend hints at a growing yet volatile demand within the sector, especially in comparison to the wider technology landscape in Europe, where Data Science roles have surged with peaks exceeding over 2,200 openings. The hiring landscape in Italy shows potential challenges for CTOs and recruiters as the closure of positions has also been significant, particularly in weeks 3 and 9, revealing a competitive recruitment environment for Data Science professionals in Italy.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
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Deloitte | United States | Management Consulting | 1845 | 3 |
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Lutech | Italy | It Services And It Consulting | null | 3 |
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Kineton | Italy | It Services | 2017 | 3 |
|
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Cerved | Italy | Information Services | 1974 | 3 |
|
fortil | France | Business Consulting And Services | 2009 | 2 |
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RINA | Italy | Professional Services | null | 2 |
|
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MC Engineering | null | null | null | 2 |
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iGenius | Italy | Information Technology & Services | 2016 | 2 |
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Crédit Agricole Italia | Italy | Banking | 2007 | 2 |
|
Prima | Italy | Insurance | null | 1 |
The European job market for Data Science Engineers reveals a nuanced picture of hiring dynamics. In Italy, the ratio of available talent to job openings indicates a challenging environment for hiring managers, as the country's talent pool is considerably smaller than the number of available positions. When compared to Germany, which has a stronger talent pool relative to its job openings, and France, which demonstrates a balanced ratio, Italy's situation presents potential hurdles for CTOs and recruitment leaders. Additionally, Spain also showcases a more favorable hiring ratio compared to Italy, suggesting that tech companies may face difficulties in swiftly filling Data Science Developer opportunities in Italy. Overall, this landscape emphasizes the need for tailored recruitment strategies to navigate the competitive market for Data Science Engineers in Italy.
In the Italian job market for Data Science Engineers, the seniority distribution reveals critical insights for hiring managers. Entry-level positions account for 41% of the total job opportunities, while Mid-Senior level roles represent 40%. Additionally, Associate roles comprise 29%, indicating a robust demand for both emerging and experienced talent in the Data Science field.
In Italy's engineering job market, the distribution of employment types reveals a clear preference for Full-time positions, comprising 95% of total roles. Contract roles make up 4% of the market, while Internship positions account for 2%. Part-time employment is notably minimal, representing just 0% of the current job landscape.
The time to hire distribution for Data Science Engineer positions in Italy reveals significant insights for hiring managers in the tech sector. A notable 31% of roles are filled within 10 days, highlighting a swift recruitment process in high-demand positions. However, the time to hire extends to 30 days for another 30% of candidates, suggesting that organizations may face challenges in sourcing and attracting top talents. Interestingly, 34% of hires take up to 35 days, indicating a potential need for refined recruitment strategies to engage the growing interest in Data Science jobs in Italy. As the demand for Data Science Engineers continues to rise, addressing these hiring timelines will be crucial for CTOs aiming to secure the best talent in the competitive Italian tech landscape.
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 ReportThe location distribution for Data Science Engineer job openings in Italy reveals that Milan stands out as the primary hub, accounting for 55% of total job opportunities. Following Milan, Rome captures 21% of the market share, emphasizing its significance in the Data Science job market in Italy. Notably, Turin and other regions each contribute 8% to the overall distribution, which highlights the concentrated demand for Data Science professionals in major urban centers across the country. For a detailed visualization of this distribution, please refer to the accompanying chart.
In the evolving Data Science job market in Italy, a selection of technologies stands out due to their frequency of usage among hiring organizations. Python, leading with a frequency of 13,712, remains the cornerstone for Data Science programming, closely followed by Java, which is utilized 4,901 times. Machine Learning technologies are also pivotal, appearing 4,835 times, while essential data querying skills such as SQL are critical, with a frequency of 4,796. Additionally, the presence of a strong AI framework and a variety of cloud services like AWS contribute significantly to the technical landscape. Refer to the attached chart for a visual representation of these technologies and their prevalence in the Data Science sector.
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