CV and LinkedIn keywords for a Data Scientist

The skills, tools, standards and professional registrations South African recruiters search for when they fill data scientist roles (also advertised as Machine Learning Engineer, AI Engineer, Quantitative Analyst). Copy what is true for you, then check your CV against the list below.

Professional registration

Body	Designation recruiters look for	Notes
Vendors / universities	No statutory body; cloud ML certifications (Azure AI Engineer, AWS Machine Learning) and postgraduate qualifications carry weight	Portfolio matters most

Write the category and status exactly, for example "Candidate" or "Professional". A registration body on its own, with no category, tells a recruiter very little. Never list a registration you do not currently hold.

Core skills

machine learningstatistical modellingpredictive analyticsfeature engineeringmodel deploymentNLPforecastingA/B testingexperiment designLLM applications

Tools and software

PythonRSQLscikit-learnPyTorchTensorFlowpandasMLflowAzure MLSageMaker

Standards, legislation and contracts

POPIAmodel governanceresponsible AI

Check your CV or LinkedIn profile against this list

Headline examples

Data Scientist · Credit risk models · Python & Azure ML

ML Engineer · NLP and LLM applications in production · PyTorch

The pattern: role, registration, sector or speciality, one proof point. Keep it under 220 characters so it shows in full on mobile.

How to use these keywords

Give the business result of a model, not its accuracy alone.
Say whether your models went to production. It separates experimentation from delivery.
Link a notebook or repo that shows your reasoning.
Mirror the advert. If it says "POPIA", write "POPIA", not a shortened version. Applicant tracking systems match words, not meaning.
Only use keywords your experience backs up. An interviewer will ask about every one of them.

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Questions

Which keywords should a Data Scientist put on a CV in South Africa?

Start with the skills recruiters filter on: machine learning, statistical modelling, predictive analytics, feature engineering, model deployment, NLP. Add the tools you use (Python, R, SQL, scikit-learn) and the standards or laws you work under (POPIA, model governance, responsible AI). Use the advert's exact wording wherever your experience matches.

Does a Data Scientist need professional registration?

Vendors / universities registration as No statutory body; cloud ML certifications (Azure AI Engineer, AWS Machine Learning) and postgraduate qualifications carry weight is what South African recruiters most often look for in this field. Portfolio matters most. Put the category and status in your headline, for example "Candidate" or "Professional".

Where do the keywords go on LinkedIn?

Headline first, then the first two lines of your About section, then the Skills section and the first bullet of each recent role. Recruiter search weights the headline and current job title most.

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Data Scientists: South African recruiters search LinkedIn and CV databases with keywords, not job titles. The ones that come up most for data scientist roles: • machine learning • statistical modelling • predictive analytics • feature engineering • model deployment • POPIA • model governance Registration matters too: No statutory body; cloud ML certifications (Azure AI Engineer, AWS Machine Learning) and postgraduate qualifications carry weight (Vendors / universities). Put the category and status in your headline. Full list, plus a free checker that shows which ones your CV is missing: https://profileaudit.co.za/keywords/data-scientist