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AI Job Market Dynamics
Data Science and Analytics
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About
This dataset offers a synthetic yet realistic snapshot of the modern job market, focusing on the impact of artificial intelligence (AI) and automation across diverse industries. It serves as a valuable resource for researchers, data scientists, and policymakers seeking to understand AI's influence on employment, emerging job market trends, and the future of work. The data can be utilised to model, predict, and analyse trends within the AI-driven job market.
Columns
- Job_Title: The title of the job role (e.g., "Data Scientist", "Software Engineer", "HR Manager"). This is a categorical field.
- Industry: The industry sector where the job is located (e.g., "Technology", "Healthcare", "Finance"). This is a categorical field.
- Company_Size: The size of the company offering the job, categorised as "Small", "Medium", or "Large".
- Location: The geographic location of the job (e.g., "New York", "San Francisco", "London", "Singapore"). This is a categorical field.
- AI_Adoption_Level: The extent to which the company has adopted AI in its operations, categorised as "Low", "Medium", or "High".
- Automation_Risk: The estimated risk that the job could be automated within the next 10 years, categorised as "Low", "Medium", or "High".
- Required_Skills: The key skills necessary for the job role (e.g., "Python", "Data Analysis", "Project Management"). This is a categorical field.
- Salary_USD: The annual salary offered for the job, in US Dollars. This is a numerical field with a value range of $30,000 to $200,000.
- Remote_Friendly: Indicates whether the job can be performed remotely, with categories "Yes" or "No".
- Job_Growth_Projection: The projected growth or decline of the job role over the next five years, categorised as "Decline", "Stable", or "Growth".
Distribution
The dataset is provided as a CSV file (ai_job_market_insights.csv) and comprises 500 unique job listings. It includes 10 distinct columns, encompassing categorical, numerical, and boolean data types. All 500 records are valid for each column, with no mismatched or missing values observed. The data is structured to offer a clear overview of job market dynamics.
Usage
This dataset is ideal for:
- AI and Job Market Research: Analysing the influence of AI adoption on various industries and specific job roles.
- Skill Gap Analysis: Identifying in-demand skills across sectors and understanding how AI impacts skill requirements.
- Policy Making: Assisting policymakers in pinpointing job roles susceptible to high automation risk and formulating strategies for workforce transitions.
- Salary Analysis: Investigating potential correlations between AI adoption levels and salary ranges across different job titles and geographical locations.
Coverage
The dataset presents a snapshot of the modern job market, covering various industries and geographic locations worldwide. It includes projections for job growth over the next five years and automation risk over the next ten years. It is important to note that this dataset is entirely synthetic, generated purely for educational and research purposes. As such, it does not represent any actual company, job, or individual, and should not be used for real-world decision-making without independent validation.
License
CC0: Public Domain
Who Can Use It
- Researchers: For academic studies on AI's societal and economic impacts.
- Data Scientists: For building models to predict job market trends and analyse data patterns.
- Policymakers: To inform strategies for economic development, education, and workforce planning in the age of AI.
- Students and Educators: For learning and teaching about data analysis, machine learning, and the future of work.
- Anyone interested in understanding the evolving landscape of employment influenced by AI and automation.
Dataset Name Suggestions
- AI Job Market Dynamics
- Future Workforce Insights
- Automation Impact Jobs Data
- Global AI Employment Snapshot
Attributes
Original Data Source: AI Job Market Dynamics
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