Data Scientist

4 weeks ago


City of Melbourne, Australia ClearCompany Full time

Overview

Data Scientist
Location: Melbourne or Sydney / Hybrid
Contract Duration: 6 to 12 months
Industry: Insurance / Superannuation

What can you expect?

We are seeking a highly skilled and motivated Data Scientist to join our growing team. In this role, you will work closely with data experts and business stakeholders to analyze complex datasets, design data-driven solutions, and generate insights that fuel growth and innovation. The ideal candidate has hands-on experience with Databricks, a strong foundation in Generative AI and traditional AI techniques, and the drive to push the boundaries of what's possible with data.

Responsibilities

- Collaborate with business and data stakeholders to understand objectives and identify opportunities for data-driven decision-making.
- Design and implement advanced models, algorithms, and statistical analyses to unlock actionable insights from large datasets.
- Develop and deploy machine learning models in Databricks for predictive analytics, anomaly detection, and other applications.
- Conduct exploratory data analysis to uncover patterns, trends, and correlations, presenting insights to both technical and non-technical audiences.
- Stay at the forefront of emerging AI and ML techniques, proactively applying them to business challenges.
- Mentor junior data scientists, fostering a culture of continuous learning and best practice adoption.

What you need to have

- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- Proven experience delivering impactful, production-grade data science solutions.
- Strong expertise in Generative AI and traditional AI, including deep learning, NLP, and statistical modeling.
- Proficiency in Python or R with libraries such as pandas, NumPy, scikit-learn.
- Excellent problem-solving and critical-thinking skills with a creative approach to solution design.
- Strong communication and collaboration skills, able to explain complex concepts to diverse audiences.
- Attention to detail and the ability to manage multiple projects independently.
- Experience working in cross-functional, collaborative environments.

What makes you stand out

- Hands-on experience using Databricks for data preprocessing, feature engineering, model training, and evaluation.
- Ability to apply Generative AI and traditional AI techniques to solve complex business problems.
- Experience with data visualization tools (Tableau, Power BI, Qlik) to communicate insights effectively.

Things that will make you really stand out (not essential, but highly valued)

- Real-world MLOps experience in Databricks, particularly in model registration and evaluation.
- Exposure to Anthropic's Model Context Protocol, Azure AI Agent Service, or Dapr.
- Experience building AI Agents and integrating them into reasoning models.
- Experience with AI platform engineering: implementing constraints, monitoring, automated testing, and governance at scale.

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