Statistician
Statisticians design how data is collected and then work out what it means, so decisions in health, science, government and finance rest on evidence.
- Median salary*
- $106,600
3.9%vs last year, before tax
- People employed
- 3,500
2.9%vs last year
- Projected growth
- +27.5%
to 2035
- AI exposure*
- Moderate
- automation risk
- Average hours
- 41/wk
+1h vs all jobs
- Shortage status
- Not in shortage
national
Statisticians work wherever a decision needs evidence, including government agencies, universities, medical research institutes, pharmaceutical companies and banks. The role reaches further than the reporting a data analyst does, because a statistician designs the survey, experiment or trial first and decides which method will give a defensible answer. Many work inside a research or policy team, so the subject matter becomes part of the job rather than a separate data service.
How much do statisticians earn?
The median full-time salary for a statistician is $106,600 per annum, before tax, up $22,200 since 2018.
Pay varies more by sector than by seniority, because banks, pharmaceutical companies and quantitative finance pay well above universities and much of the public sector, where salary bands are fixed. A master's or PhD is usually what opens the modelling-heavy roles that attract the higher figures. Experienced statisticians who consult independently set their own rates, and that income depends on winning work rather than on a classification scale.
What does a statistician do day to day?
The list below is what fills most weeks; the exact mix shifts with seniority and whatever stage the current work is at.
- Designing surveys, clinical trials and experiments so that the data collected can actually answer the question asked
- Checking and cleaning datasets, including deciding what to do about the values that are missing or wrong
- Building statistical models in R, Python or SAS to estimate effects and quantify the uncertainty around them
- Writing up results for people who do not work in statistics, with graphs, intervals and plain-English caveats
- Advising researchers, policy teams or product groups on sample size, study design and which methods will hold up to scrutiny
What skills do statisticians need?
Employers look for statistical modelling, data analysis, machine learning, backed by R fluency and strong written communication.
Specialist skills
- Statistical modelling
- Data analysis
- Machine learning
- Programming and software development
Software and tools
- R
- Python
- SAS
- SQL
- Stata
General skills
- Written communication
- Problem solving
- Stakeholder management
Is the job growing?
About 3,500 people work as statisticians in Australia, and employment is projected to grow 27.5% over the decade to 2035. That's very strong growth. Few roles in Australia are expanding this fast, and it points to solid demand for years to come.
How do you become a statistician?
Here's the path most statisticians take, step by step.
- 1Complete a bachelor degree in statistics or mathematics
A three-year degree with a statistics or mathematics major is the standard entry point. Many students pair it with a subject they care about, such as biology, economics or psychology, so the methods have somewhere to be applied.
- 2Add an honours year or a master's
A fourth honours year or a master's in statistics covers the theory behind the methods, which is what you need when an analysis has to be defended. About 57% of people working as statisticians hold a postgraduate qualification.
- 3Become fluent in R or Python, plus one of SAS or Stata
R and Python cover most modelling work, while SAS and Stata still appear in clinical trials and government collections. Coursework introduces them, and working through your own messy dataset is what builds the fluency employers expect.
- 4Apply for a graduate program or cadetship
The Australian Bureau of Statistics, state health departments, CSIRO and large consultancies run graduate intakes. These roles are usually where you first own an analysis from design through to write-up.
- 5Consider professional accreditation if you plan to consult
The Statistical Society of Australia offers accreditation for experienced statisticians. It is not required for most jobs, but it can help when you bid for work as an independent consultant.
Ready to apply as a statistician?
Whether you're working toward becoming a statistician or already are one and want a hand with the next step (sharpening your resume for ATS screening, tightening your cover letter, or knowing what you'll actually be asked at interview), here are examples grounded in this specific role, not generic templates.
What jobs can a statistician move to?
Moving into Quantitative Analyst typically comes with the biggest pay rise, worth $41,600 a year more on average.
| Move to | Typical pay change | Overlap | Retraining |
|---|---|---|---|
| Quantitative Analyst Statistical modelling, inference and programming transfer into quantitative analysis, where the same methods model risk and financial markets. | +$41,600 | 62% | minimal |
| Quantitative Trader Statistical modelling and programming carry into quantitative trading, where the same methods inform pricing and automated trading decisions. | +$41,600 | 62% | minimal |
| Machine Learning Engineer Statisticians bring modelling, inference and evaluation skills to machine learning, adding software engineering practice to build and deploy models. | +$20,800 | 67% | minimal |
| Data Scientist Statistical modelling and analysis skills carry into predictive modelling roles, where the work shifts to building and validating models on large messy records. | +$18,200 | 63% | minimal |
| Mathematician Mathematical statistics underpins both roles, so a statistician moves into mathematician work on theory and modelling with little retraining.Known move | +$5,200 | 88% | minimal |
Moves are chosen from Jobs and Skills Australia's Data on Occupation Mobility, which follows income tax records between 2011-12 and 2020-21, together with entry requirements and skill overlap. A known move is one people were seen making in that data. Pay change compares median full-time pay for the two roles.
Who works as a statistician?
The typical statistician is 40 years old; 54% are women, 72% work full-time, and full-timers average 41 hours a week.
- 40
- Median age
- 54%
- Female share
- 72%
- Full-time
- +1h
- vs all-jobs avg
What's it like being a statistician?
The work swings between long stretches of deep concentration and short bursts of explaining it, and the explaining is often the harder half. Deadlines usually belong to someone else's project, so a trial analysis or a funding report has to be finished by a date you did not set. The job suits people who enjoy getting a method to hold up under scrutiny and who are willing to keep explaining uncertainty to someone who would rather have a simple answer.
What people like
- Questions with consequences. You might be working out whether a treatment helps, how a threatened species is tracking, or whether a program is worth its cost, and the answer goes to someone who has to act on it.
- Long stretches of concentrated work. Fitting a model and testing its assumptions takes uninterrupted hours, and the work rewards the kind of focus where a morning disappears.
- Methods that travel. The same tools apply to clinical trials, fisheries, transport planning and credit risk, so you can change industries without starting your training again.
- Learning the field you analyse. Statisticians are often embedded in a research or policy team, which means you pick up how the science or the program actually works.
What people find hard
- Explaining uncertainty over and over. Colleagues outside the field often want one number, and repeating that it comes with a margin of error, without sounding evasive, takes patience.
- Inheriting messy data. Much of the work starts with records you did not collect, full of missing fields, inconsistent categories and no documentation, and cleaning them can take longer than the analysis.
- Deadlines set by other projects. Trial results, grant reports and budget cycles arrive when they arrive, and the analysis has to be finished to a date you did not choose.
- Slow promotion in large institutions. In government and universities, progression runs through fixed classifications and annual steps, so it can feel slower than your output deserves.
Based on our synthesis of professional-body surveys and public accounts of the role, not first-person verified reviews.
Which industries employ statisticians?
Professional, Scientific and Technical Services employs the largest share of statisticians, followed by Education and Training.
Top employing industries
- 1Professional, Scientific and Technical Services
- 2Education and Training
- 3Public Administration and Safety
Ranked by employment share; the source doesn't publish an exact percentage per industry.
| Postgraduate | 56.5% | |
|---|---|---|
| Bachelor degree | 31.1% | |
| Year 12 or below | 5.8% | |
| Diploma / Advanced Diploma | 3.2% | |
| Certificate III/IV | 2.3% |
Will AI replace statisticians?
AI tools are already embedded in this job, and they have absorbed much of the code writing, data cleaning and standard model fitting that used to fill a week. What they have not absorbed is the part that decides whether an analysis is valid: choosing a design, judging whether an assumption holds, and defending the result to a journal, a regulator or a minister. Exposure is moderate, and the job is moving towards method choice, validation and interpretation.
Share of typical working time by exposure level
- Designing studies and choosing methodsDeciding whether a trial will have the power to detect an effect, or whether a survey sample will represent the population, depends on context that no tool can supply.35%low
- Explaining results to non-specialistsDraft text and graphs can be generated quickly, but judging what a confidence interval means for a policy decision or a patient group still belongs to the statistician.30%moderate
- Cleaning and preparing datasetsScripted tools and language models now write much of the code that merges, tags and imputes records, but someone still has to decide what a missing value means for the question.20%high
- Fitting standard statistical modelsRoutine regression and survival models can be specified and run with a short prompt, so the value shifts to checking whether the output is sensible.15%high
Common questions about becoming a statistician
Straight answers to the questions people ask most.
How much do statisticians earn?
$106,600 per year before tax, which is the median for statisticians working full time. The figure is lifted by a postgraduate qualification and by working in banking, pharmaceuticals or quantitative finance. Independent consulting is priced differently again, usually as a daily rate.
How do you become a statistician?
Most start with a bachelor degree majoring in statistics or mathematics, then add an honours year or a master's. Learning R or Python properly and getting a graduate role in a government agency, research institute or consultancy is the usual path from there.
Are statisticians in demand in Australia?
Statisticians are currently not in shortage, and employment is projected to grow 27.5% over the decade to 2035. Health, government and financial services are the largest employers, so graduate programs in those areas are a practical way in. Applications that show modelling and coding alongside statistical theory tend to stand out.
Will AI replace statisticians?
AI tools already write much of the routine code and fit standard models, and that is where the exposure sits. They do not decide whether a study design can answer the question or whether an assumption holds. The job is shifting towards method choice, validation and interpreting what a result means for the decision at hand.
What can statisticians move into?
Data science is a common move, where pay is $18,200 more and about 63% of the skills carry across. Mathematician roles are the closest fit at 88%, and quantitative analyst and machine learning engineer roles draw on the same methods, with pay around $41,600 more. Experienced statisticians also set up as independent consultants, which is often where earnings grow.
Can you become a statistician without a statistics degree?
It happens, most often from data analyst or statistical assistant roles, where querying, reporting and coding provide the base. About 50% of the skills carry across, and the step up usually means short or graduate study in statistical methods and study design, which is where the real gap sits.
Related roles
- Data Scientist
- Mathematician
- Machine Learning Engineer
- Quantitative Analyst
- Quantitative Trader
- Statistical Assistant
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