Agency Partners
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The Data Science job market in Lithuania demonstrates notable fluctuations in job postings, with a peak of 57 new roles in week 6, yet subsequently dropping to just 3 openings in week 14. In contrast, Europe-wide data shows considerably higher activity, revealing a consistent demand for Data Science roles, peaking at 2,811 positions in week 6. Considering the closure of jobs, Lithuania experienced an increasing trend, with 63 positions closed in the last week of our data collection; this discrepancy suggests that while opportunities exist, hiring strategies may need to adapt to the competitive landscape. For hiring managers in Lithuania, a proactive recruitment strategy is essential to navigate the shrinking pool of available candidates compared to the vibrant market elsewhere in Europe.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
EPAM Systems | United States of America | It Services And It Consulting | 1993 | 38 |
|
Danske Bank | Denmark | Financial Services | 1871 | 15 |
|
Canonical | United Kingdom | Information Technology & Services | 2004 | 13 |
|
Nord Security | null | Computer And Network Security | 2012 | 13 |
|
Accenture Baltics | null | null | null | 10 |
|
Cognizant | United States | Information Technology & Services | 1994 | 7 |
|
|
Architus | United Kingdom | Information Technology & Services | null | 7 |
|
Revolut | United Kingdom | Financial Services | 2015 | 6 |
|
Outlier | United States of America | Software Development | null | 6 |
|
Exadel | United States of America | Software Development | 1998 | 5 |
The Data Science Engineers job market trends in Lithuania present a challenging landscape for hiring managers. With a talent pool of 800 and 200 job openings, Lithuania's jobs-to-talent pool ratio stands at 4.0, which indicates a competitive environment for recruitment. In contrast, countries like Poland (ratio of 3.5) and Romania (ratio of 3.0) exhibit similar challenges, while Germany, with a ratio of 6.0, offers a more favorable environment for sourcing talent. Consequently, CTOs and Engineering Managers in Lithuania's tech sector may need to employ innovative recruitment strategies to attract Data Science Engineer candidates and stay ahead in the evolving landscape of Data Science job market in Lithuania.
The seniority distribution in the Data Science job market in Lithuania reveals significant insights for hiring managers. Mid-Senior level positions dominate the landscape, comprising 66% of available roles, followed by Entry level positions at 24%. Additionally, Associate roles account for 8% of the market, indicating a strong focus on experienced candidates in the Data Science Engineer hiring trends across Lithuania.
In Lithuania, the employment type distribution for engineering roles reveals a strong preference for full-time positions, comprising 95% of open roles. Contract opportunities follow at 4%, while internships account for just 1%. This data highlights the significant demand for stable, long-term employment in the Data Science job market in Lithuania, which is particularly relevant for hiring managers aiming to attract talent.
In analyzing the time to hire distribution for Data Science jobs in Lithuania, we observe that the majority of roles are filled within a 30 to 45-day window, reflecting a competitive recruitment landscape. Notably, 98 positions were filled within 30 days, while 49 roles were secured within 40 days, indicating a robust demand for skilled Data Science Engineers. However, as the time to hire extends beyond 60 days, there is a considerable dip in hiring activity, ending with only 3 placements at the 100-day mark. This trend highlights the urgency for CTOs and hiring managers to refine their recruitment strategies for Data Science positions, as delays may result in missed opportunities for attracting top talent in Lithuania's evolving tech sector.
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.
View ReportThe 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 Lithuania, the job market for Data Science Engineers is predominantly concentrated in Vilnius, which accounts for 67% of the total openings. Kaunas follows with a 13% share, while the remaining opportunities are scattered across other locations, including a notable 7% attributed to roles listed as 'Lithuania'. This data underscores the significant role of the capital city in shaping the Data Science job market landscape in Lithuania, as illustrated in the accompanying chart.
In the evolving Data Science job market in Lithuania, several technologies stand out as pivotal for Data Science Engineers. Python leads the charge with a significant usage frequency of 13,712, reflecting its critical role in data manipulation and analysis. Following closely are SQL and Java, with frequencies of 4,796 and 4,901 respectively, underscoring the importance of database management and application development in Data Science roles. Additionally, Machine Learning and AI, at 4,835 and 2,779 frequencies, highlight the industry's focus on advanced analytical techniques. For hiring managers, this data suggests a clear direction in the recruitment strategies for Data Science roles, as reflected in the accompanying chart.
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