Data Scientist at ATNIS PTY LTD

ATNIS PTY LTD; Sydney; On-site; AUD 147,000 - 150,000; Full time

Benefits offered by this job

In person work location

Job summary

ATNIS PTY LTD, based in Sydney, NSW, is recruiting a Data Scientist to lead AI capabilities and support client engagements across cybersecurity, cloud and network infrastructure. The role starts in December 2026 and is on-site.

You will design, build and run AI/ML solutions, manage data pipelines on Azure and Databricks, and communicate results to both technical and non-technical stakeholders while upholding data governance and security.

Qualifications

• Two+ years of commercial data science or ML production experience.
• Experience building large language model solutions, including retrieval-augmented generation, embeddings and agent-based workflows.
• Strong Python and SQL programming with ML libraries.
• Hands-on with Azure and Databricks data pipelines and model deployment.
• Ability to present analytical results to non-technical audiences.

Responsibilities

• Design, build and run AI/ML solutions to improve service delivery.
• Translate client engagements into testable hypotheses and objectives.
• Create dashboards and visualisations for stakeholders.
• Develop production-grade data and model pipelines on cloud platforms like Azure and Databricks.
• Monitor model performance, drift and governance; ensure security and compliance.

Skills

Python

SQL

Machine Learning

Data Visualization

Azure

Databricks

Communication

Problem Solving

Teamwork

Education

Degree in data science

Tools

Azure

Databricks

Power BI

Job description

Data Scientist

Apply for Data Scientist at ATNIS PTY LTD in Sydney, NSW, AU. This Full time on site position offers great opportunities for career growth.

About Atnis

At Atnis Pty Ltd is a Sydney-based technology consultancy delivering cybersecurity, cloud and network infrastructure solutions to enterprise clients across Australia. We are building an AI capability that strengthens how we deliver these services, and we are seeking an experienced Data Scientist to lead that work while also supporting our clients on our core engagements. The position commences in December 2026.

The Role

This is an AI-centric role with two connected parts. The first is to design, build and run artificial intelligence and machine learning solutions that improve Atnis’s service delivery and the offerings we bring to clients. The second is to support client engagements within our core scope of cybersecurity, cloud and network infrastructure, applying data science to the data those engagements produce. You will work across the full analytics lifecycle, from framing the problem and preparing data through to building, validating, deploying and monitoring models in production, and explaining the results to technical and non-technical stakeholders.

Key Responsibilities

• AI and machine learning: Design, build and deploy large language model solutions, including retrieval-augmented generation pipelines, embedding and vector search components, and agent-based workflows, with appropriate validation and human oversight.


• AI and machine learning: Identify opportunities to apply AI to Atnis’s service delivery, such as automating analysis, triage and reporting, and translate them into working solutions.


• AI and machine learning: Design, train and evaluate statistical and machine learning models, including classification, forecasting and anomaly detection, and select techniques suited to the problem and the data.


• AI and machine learning: Establish model and LLM evaluation frameworks, including accuracy testing, drift detection and ongoing performance monitoring, and refine solutions as data and requirements change.


• AI and machine learning: Build and maintain production-grade data and model pipelines on cloud data platforms such as Azure and Databricks, with version control and automated build and deployment (CI/CD).


• Client engagement support: Work with delivery teams and client stakeholders on cybersecurity, cloud and network engagements to define problems and translate them into testable hypotheses and measurable objectives.


• Client engagement support: Collect, clean, integrate and transform structured and unstructured data from security, network and cloud sources using SQL and Python, and analyse it to produce insights and recommendations for clients.


• Client engagement support: Create dashboards and visualisations, and prepare clear reports and presentations that communicate findings, assumptions and limitations to client and internal stakeholders.


• Client engagement support: Apply sound data governance, privacy and security practices to all data handled, consistent with client and regulatory requirements.


• Client engagement support: Document methods, code and results, and contribute to the team’s analytical standards and knowledge sharing.

Skills and Experience

• A degree in data science, computer science, statistics, mathematics, engineering or a related quantitative discipline (a postgraduate qualification is advantageous), or equivalent demonstrated experience.


• At least two years of commercial experience delivering data science or machine learning solutions into production.


• Demonstrated experience building large language model solutions, including retrieval-augmented generation, embeddings and agent-based workflows, and evaluating model output.


• Strong programming skills in Python and SQL, with experience using machine learning and deep learning libraries.


• Hands-on experience with a cloud data platform such as Azure and Databricks, including building data pipelines and deploying models.


• Experience presenting analytical results and recommendations to non-technical audiences, including clients.


• Strong problem-solving ability, attention to detail and the ability to work both independently and within a team.

Desirable

• Experience with MLOps practices, CI/CD tooling and workflow orchestration.


• Experience with data visualisation tools such as Power BI.


• Exposure to cybersecurity, network or cloud infrastructure data.

Remuneration and Conditions

The salary range for this position is $147,000 to $150,000 per annum plus superannuation, with the final figure determined by the successful candidate’s qualifications and experience.

Pay: $147,000.00 – $150,000.00 per year

Work Location: In person

The position is full-time at 38 hours per week and is based in Sydney, NSW, with an anticipated start date in December 2026.