The Data Science Job Market — 2026-07

Despite a 9.4% drop in market share, Data Science remains integral with strong ties to Machine Learning and Python.

What’s really happening

Data Science’s share of the job market has been stable at 0.31% in July 2026, although it has experienced a 9.4% decline in its share over the recent months. This suggests a possible maturation of the field, where the initial hype is giving way to more stable, integrated roles within organisations. The absolute job postings have decreased from their peak in February 2026, but this mirrors our indexing coverage rather than a decline in demand. With 695 active postings, Data Science remains a significant component of the tech job landscape.

Who’s hiring, and for what roles

Data Science roles are spread across a wide range of companies, with significant activity from firms like Sia, Databricks, and AbbVie. The market shows a strong preference for mid-level roles, with 418 positions unspecified for seniority, 54 for senior roles, and only 6 for junior positions. This indicates a demand for experienced professionals who can handle complex data tasks and contribute to strategic decisions.

What you’ll actually do

Job descriptions reveal recurring responsibilities such as solving critical challenges, integrating AI-driven solutions, and enhancing customer satisfaction through data. Notably, tools like Power BI, Power Automate, and Microsoft Excel are mentioned alongside core skills such as Python and SQL, suggesting these are becoming essential. While Python and SQL are table-stakes, familiarity with cloud platforms and project management tools could provide a competitive edge.

Where the work is

The United States dominates the Data Science job market with 184 postings, followed by the United Kingdom and India. The field is relatively remote-friendly, with 33% of roles offering remote work options, indicating flexibility in work location and the potential for international opportunities.

What it pays

The median salary for Data Science roles is €100,400, with 454 salary samples. Adjacent skills like data engineering and leadership can significantly boost earnings, with medians at €178,572 and €177,120 respectively. Remote roles tend to pay less, with a median of €59,800, compared to onsite roles at €128,800. This suggests a premium for in-office positions, likely reflecting higher responsibilities or living costs in urban centres.

The connections — what comes bundled with it

Data Science is closely tied to machine learning, Python, and SQL, indicating its role as a cornerstone in data-driven decision-making processes. The frequent mention of skills like communication and leadership highlights a need for professionals who can not only analyze data but also communicate insights effectively across teams.

Is AI reshaping this field?

With an AI adjacency percentage of 0%, Data Science appears relatively untouched by AI-specific roles. However, skills like machine learning and AI are present in job descriptions, suggesting that while Data Science jobs do not primarily focus on AI, they often require familiarity with these technologies.

What to study

For newcomers, mastering Python, SQL, and machine learning is essential, as these are the strongest co-occurring skills. Entry-level roles are rare, so aiming for mid-level positions is more realistic. Experienced professionals should focus on data engineering and leadership, as these skills significantly boost salaries, with data engineering lifting the median to €178,572, significantly above the overall median. Machine learning, while common, also offers a substantial premium.

Outlook

Despite a slight drop in market share, Data Science remains a critical field within the tech industry. Its integration with machine learning and data analysis ensures continued relevance. Job seekers should focus on gaining experience in mid-level roles and developing skills in data engineering and leadership to maximize opportunities and earnings. As the field matures, professionals who can combine technical expertise with strategic insight will be in high demand.

Key takeaways

• Data Science’s market share is stable at 0.31%, indicating a mature but essential skill.
• Mid-level roles dominate, with limited opportunities for junior positions.
• Python, SQL, and machine learning are core skills for Data Science roles.
• Data Engineering and Leadership skills can significantly increase earning potential.
• 33% of roles are remote, offering flexibility but typically lower pay compared to onsite.