Associate Data Scientist

Keypath Education

Associate Data Scientist at Keypath Education, contributing to predictive models and generative AI solutions. Engaging in commercial projects to shape operational strategies and improve educational outcomes.

Posted 7/14/2026full-timeRemote • 🇦🇺 AustraliaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in predictive modeling, data analysis, and machine learning, with proficiency in Python and a solid understanding of statistical concepts. Capable of effectively communicating analytical findings to non-technical stakeholders and contributing to collaborative development practices.

Highest-signal resume keywords

Python ProgrammingPredictive ModelingMachine Learning ConceptsData AnalysisSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingData AnalysisFeature EngineeringExploratory Data AnalysisMachine LearningStatistical ConceptsData WranglingModel EvaluationRegressionClassification

Soft Skills

Analytical ThinkingProblem-SolvingClear CommunicationCuriosity

Tools & Technologies

PythonPandasNumPyScikit-learnSQLGitMicrosoft AzureMicrosoft Fabric

Industry Keywords

Generative AILarge Language ModelsPrompt EngineeringData ScienceQuantitative Analysis

Tech Stack

Tools & technologies

AzureCloudNumpyPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

Support the development of predictive models across the student lifecycle, including lead scoring, conversion propensity, retention risk, and demand forecasting.
Assist in building and evaluating generative AI solutions, such as LLM-powered agents, prompt engineering workflows, and retrieval-augmented generation (RAG) pipelines.
Perform exploratory data analysis, feature engineering, and data wrangling to prepare datasets for modelling.
Write clean, well-documented Python code for analysis and model development.
Help productionise models by supporting pipeline development, testing, and integration with downstream systems.
Prepare visualisations, summaries, and presentations that communicate analytical findings and model outputs to non-technical stakeholders.
Contribute to the team’s knowledge base by documenting methods, sharing learnings, and participating in code reviews.
Proactively develop your own skills through structured learning, certifications, and hands-on experimentation.

Requirements

What you’ll need

Bachelor's or Master’s degree (completed or near-completion) in data science, statistics, computer science, mathematics, engineering, economics, or a related quantitative field
Proficiency in Python for data analysis and modelling (pandas, NumPy, scikit-learn, or equivalent)
A working understanding of core statistical and machine learning concepts: regression, classification, model evaluation, overfitting, and train/test methodology
Strong analytical thinking and problem-solving ability
Clear written and verbal communication skills
Genuine curiosity about data science, AI, and how models drive real-world decisions.
Exposure to large language models (LLMs), prompt engineering, or generative AI tools and concepts (desirable)
Familiarity with SQL for data extraction and manipulation (desirable)
Experience with version control (Git) and collaborative development practices (desirable)
Familiarity with cloud platforms, particularly Microsoft Azure or Microsoft Fabric (desirable)
Previous professional experience in analytics, research, consulting, or a quantitative role (for career transitioners).

Benefits

Comp & perks

Flexible “Work Anywhere” model (remote, hybrid or office)
High-growth environment with strong career development opportunities
Collaborative, innovative, people-first culture
Certified as a Great Place to Work in Australia & Malaysia
Professional development support, including access to certifications and training programmes
Employee Assistance Program and wellbeing initiatives
Access to LinkedIn Learning and career development programs
IT Equipment provided for your success