Data Scientist - Analytics

Company : Morgan Mckinley

Job Type : Contract

Melbourne

Number of Applicants

000+

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Job Description - Data Scientist - Analytics

Data Scientist - Analytics / ML

Melbourne / Sydney

$1100-1400 a day

12 month contract

Overview
We are working with a leading Financial Services client on a new role in their Data team. This role sits within a growing analytics function focused on supporting a direct-to-consumer business. The team is responsible for enabling better day-to-day decision-making through data, improving performance, and delivering actionable insights across the organisation.

You will work at the intersection of data science, analytics, and business strategy-partnering closely with teams such as marketing and digital to translate data into meaningful outcomes.

Key Responsibilities

Design and deliver machine learning models to solve business problems, with an initial focus on customer segmentation and clustering
Explore and validate multiple data sources to identify opportunities for insight generation
Translate business challenges into analytical frameworks and data science solutions
Build, test, and deploy models using tools such as Python, SQL, and Databricks
Develop reporting and visualisations to communicate insights to both technical and non-technical stakeholders
Partner with internal teams (e.g. marketing, digital) to guide targeting, performance optimisation, and decision-making
Contribute to the development of scalable data science capabilities and best practices
Monitor and track model performance, ensuring solutions are production-ready and continuously improved
Support migration and transformation of legacy analytics processes into modern data environments
Clearly explain methodologies, outputs, and impact of models to a range of stakeholders

What You'll Be Working On

Customer segmentation projects using clustering techniques
Exploratory data analysis to assess and validate available data
End-to-end model development: from discovery - build - production - monitoring
Enabling broader business use cases through incremental data science projects
Supporting the evolution of the organisation's analytics and machine learning capability

Skills & Experience

Essential:

Strong experience with Python & SQL
Hands-on experience building and deploying machine learning models
Ability to work across the full data science lifecycle
Experience working with large and complex datasets
Strong communication skills-ability to explain technical concepts to non-technical audiences
Experience working in collaborative, cross-functional environments

Desirable:

Experience with Databricks or similar cloud-based data platforms
Familiarity with BI/reporting tools and data visualisation
Experience in customer analytics, marketing analytics, or digital analytics
Understanding of clustering, segmentation, and other unsupervised learning techniques
Exposure to agile delivery environments

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Data Scientist - Analytics

Job Description - Data Scientist - Analytics

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