Associate Data Scientist

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Keypath Education

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2014

📚 Education

☁️ SaaS

🤝 B2B

Education • SaaS • B2B

Keypath Education is a global educational technology company that partners with universities to design, market, and deliver career-focused online higher-education programs. It operates an end-to-end technology and data platform (KeypathEDGE) to power program selection, predictive analytics, learning design, student recruitment, and student experience — including clinical and field placement management — serving university partners across the US and Asia-Pacific with particular emphasis on scaling healthcare programs.

📋 Description

• 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

• 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

• 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