Summary
Data science sees increasing focus on LLM skills in job vacancies, putting candidates under pressure.
Data science job vacancies demand specific skills
In the pursuit of jobs in data science, many professionals notice a significant number of vacancies explicitly requiring experience with agentic and LLM technologies. An experienced data scientist shares that he feels unqualified for about 70% of the listings, mainly because his daily tasks do not fully align with these demands.
Importance for BI professionals in the data science landscape
This development highlights a shift in the skills valued in the sector. It urges BI professionals who wish to expand their expertise in data science to reflect critically on their skill set. The emphasis on LLMs and advanced machine learning techniques showcases AI's growing influence in the job market for data science. Competitors who are better aligned with these new demands may attract talent more rapidly, leading to shifts in employment dynamics.
Concrete takeaway for BI professionals
It is advisable for BI professionals to enhance their skills in LLM technologies and consider pursuing courses or training focused on these emerging techniques to remain competitive in the evolving job market.
Deepen your knowledge
ChatGPT and BI — How AI is transforming data analysis
Discover how ChatGPT and generative AI are changing business intelligence. From generating SQL and DAX to automating dat...
Knowledge BaseAI in Power BI — Copilot, Smart Narratives and more
Discover all AI features in Power BI: from Copilot and Smart Narratives to anomaly detection and Q&A. Complete overview ...
Knowledge BasePredictive Analytics — What can it do for your business?
Discover what predictive analytics is, how it works, and how to apply it in your business. From the 4 levels of analytic...