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ANZ Data Science Employment Trends
Data Science and Analytics
Tags and Keywords
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Free
About
This dataset offers a detailed collection of data science job listings in Australia, gathered from Glassdoor. It provides valuable insights into the Australian job market for data science professionals, including various job titles, specific locations, company details, salary forecasts, and required skills. The dataset was collected using Selenium (Python) and prepared with Python for analysis. It is designed for understanding market trends, salary benchmarks, and the most sought-after skills in the industry.
Columns
- Job Title: The advertised role, with Software Engineer being the most common, accounting for 6% of listings, among 181 unique titles.
- Job Location: The city where the job is based; Melbourne is the most frequent location at 26%, followed by Brisbane at 10%. There are 58 unique locations.
- Company: The hiring organisation's name. ANZ Banking Group appears in 9% of listings, and Australian Antarctic Division in 6%. There are 228 unique companies.
- Url: A direct web link to the original job opening on Glassdoor, with 652 unique links.
- Estimate Base Salary: The average estimated base salary for the role, with a mean of £104k. Salaries range from £40.5k to £215k.
- Low Estimate: The lower end of the salary forecast, with a mean of £92.1k, ranging from £30k to £200k.
- High Estimate: The upper end of the salary forecast, with a mean of £118k, ranging from £41k to £283k.
- Company Size: The number of employees at the company. 10000+ Employees is the most common size, representing 45% of valid entries.
- Company Type: The legal structure of the company; Company - Public is most common at 43%, followed by Company - Private at 22%.
- Company Sector: The industry sector, with Finance being notable at 16%.
- Company Founded: The year the company was established, with data ranging from 1698 to 2020.
- Company Industry: The specific industry of the company, with Banking & Lending being the most frequent at 14%.
- Company Revenue: The estimated annual revenue, often Unknown / Non-Applicable (41%) or £10+ billion (USD) (23%).
- Job Descriptions: A text field containing the full job role description.
- Company Rating: The overall Glassdoor rating, with a mean of 3.9 out of 5.
- Company Friend Recommendation: The percentage of employees who would recommend working at the company to a friend, averaging 76.1%.
- Company CEO Approval: The percentage of employees who approve of the company's CEO, averaging 81.5%.
- Company Number of Rater: The number of individuals who rated the company.
- Company Career Opportunities: Employee ratings for career opportunities, averaging 3.7 out of 5.
- Compensation and Benefits: Employee ratings for compensation and benefits, averaging 3.7 out of 5.
- Company Culture and Values: Employee ratings for company culture and values, averaging 3.82 out of 5.
- Company Senior Management: Employee ratings for senior management, averaging 3.41 out of 5.
- Company Work Life Balance: Employee ratings for work-life balance, averaging 3.71 out of 5.
- Country: The country of the job listing, which is exclusively Australia.
- State: The Australian state where the job is located, with Victoria being the most frequent at 46%, followed by Queensland at 19%.
- Skill Booleans (e.g., python_yn, sql_yn, java_yn, r_yn, javascript_yn, git_yn, excel_yn, aws_yn, tableau_yn, mathematic_yn, statistic_yn): Binary indicators (0 or 1) showing whether a specific skill is mentioned in the job description. Python and SQL are frequently requested.
Distribution
The dataset is provided in CSV format and includes 53 distinct columns. The main file,
AustraliaDataScienceJob2.csv, is 3.48 MB in size and contains 652 valid records for most key fields. An older version of the data is also available, and combining both could expand the data quantity.Usage
This dataset is an excellent resource for:
- Job seekers looking to understand salary expectations, essential skills, and top employers in the Australian data science market.
- Recruiters and HR professionals aiming to benchmark salaries, identify in-demand skills, and locate talent.
- Market analysts and researchers interested in studying labour market trends and performing exploratory data analysis on job opportunities.
- Organisations assessing their competitiveness in attracting data science talent.
Coverage
The dataset focuses exclusively on Australia, with a strong representation of job listings from Victoria (46%) and Queensland (19%). Specifically, Melbourne (26%) and Brisbane (10%) are prominent job locations. The data represents job listings from Glassdoor, with an expected annual update frequency. The data was collected around late 2022.
License
Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Who Can Use It
- Aspiring Data Scientists: To identify common job titles, geographical hotspots, and essential skills needed to enter the field.
- Experienced Data Professionals: To gauge market value and explore career progression opportunities.
- Human Resources Managers: For strategic workforce planning and salary surveys.
- Educational Institutions: To tailor curriculum development to industry demands.
Dataset Name Suggestions
- Australian Data Science Job Market
- Australia Tech Roles by Glassdoor
- ANZ Data Science Employment Trends
- Glassdoor Australia Data Insights
Attributes
Original Data Source: ANZ Data Science Employment Trends
QUALITY