Data Scientist

Data Scientist

Full-Time 123750 - 151250 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Use AI and machine learning to extract and classify skills from diverse data sources.
  • Company: Join a Federal Government department focused on meaningful employment and safe workplaces.
  • Benefits: Competitive salary, flexible work locations, and opportunities for professional growth.
  • Other info: Work in a dynamic team with excellent career advancement opportunities.
  • Why this job: Make a real impact by leveraging cutting-edge technology to improve workforce skills.
  • Qualifications: Experience in data science, AI, and NLP techniques is essential.

The predicted salary is between 123750 - 151250 $ per year.

About the Job

Our client is a Federal Government department that is responsible for helping people gain the skills and training they need to find and keep meaningful employment.

The agency also oversees policies that promote safe workplaces for both employers and employees.

We are seeking a Data Scientist that will leverage advanced AI, NLP and machine learning techniques to identify, extract, classify, map and relate skills information from diverse structured and unstructured data sources.

Working with the Lead Data Scientist and a multidisciplinary team of technical and policy specialists, the role will design and implement scalable analytical capabilities, data pipelines and repeatable processes to support the development, operationalisation and continual improvement.

  • Job Overview
  • Identify, extract, classify and relate skills information from structured and unstructured data sources.
  • Develop, adapt and evaluate natural language processing (NLP), transformer-based and Large Language Model (LLM) approaches for skills extraction, text classification, semantic similarity, clustering and entity resolution.
  • Apply expertise in contemporary artificial intelligence (AI) and generative AI (Gen AI) frameworks to develop, test and optimise bespoke model solutions, including within GPU-enabled computing environments.
  • Apply rigorous model evaluation and validation methodologies, including benchmark development, performance measurement, error analysis and reproducibility practices.
  • Design and enhance technical validation capabilities that support the transparent, repeatable and scalable assessment of model outputs, extracted skills and taxonomy recommendations.
  • Collaborate with taxonomy, policy and subject matter experts to incorporate skills definitions, terminology, classification rules and validation requirements into analytical workflows and AI-enabled solutions.
  • Collaborate with Data Engineers to operationalise NLP and AI models through repeatable data processing, validation and model-serving pipelines.
  • Apply software engineering and machine learning operations (MLOps) practices, including version control, testing, reproducibility, model lifecycle management and technical documentation.
  • Job Location
  • Canberra / Sydney / Brisbane / Melbourne

Due to the nature of this role, this job is open to Australian Citizens only.

Candidates who currently hold or able to obtain Federal Government Security Clearances are highly desirable.

Calleo is an equal opportunity employer, and we encourage applications from all people including Aboriginal and Torres Strait Islander people.

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Data Scientist employer: Calleo Australia

Calleo Australia is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the role of Enterprise Information Architect. With a focus on professional growth, employees are encouraged to develop their skills in a supportive environment while working on impactful projects across major Australian cities like Canberra, Sydney, and Brisbane. The company offers competitive benefits and a commitment to aligning with best practices in information governance, making it a rewarding place for those seeking meaningful employment.

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Contact Details:

Calleo Australia Recruitment Team

We think you need these skills to ace Data Scientist

Artificial Intelligence (AI)
Natural Language Processing (NLP)
Machine Learning
Data Extraction
Text Classification
Semantic Similarity
Clustering