What is in it for you?
· 12-month contract with a competitive pay rate
· Opportunity to work on cutting-edge data science projects with industry-leading AWS technologies
· Flexible hybrid work model promoting work-life balance
· Join a collaborative team with opportunities for growth and career development
What we need from you / What our client requires
· Demonstrated experience sourcing, cleaning, and preparing large-scale datasets for analytics and operational use
· Strong proficiency in Python, R, SQL, and experience with Spark or Snowflake
· Hands-on experience deploying data-driven solutions using AWS services such as SageMaker, Glue, EMR, and Redshift
· Ability to apply statistical and analytical techniques to extract actionable insights
We're searching for a skilled Data Scientist to join our client's team and help solve real-world business problems using advanced data science and cloud-native technologies. In this role, you will work across diverse datasets, build scalable tools, and deploy machine learning solutions leveraging AWS services.
You'll play a vital role in driving data-driven decision-making by applying your analytical skills, developing productivity tools, and collaborating closely with stakeholders across the organisation.
Key Requirements
· Source, clean, and prepare large datasets for analytics and operational use
· Develop Python and R scripts to streamline workflows and enhance model usability
· Build and deploy ML pipelines using AWS SageMaker, including asynchronous inference and batch transforms
· Collaborate with stakeholders to understand business needs and deliver clear, actionable insights
· Create compelling data visualizations and presentations for both technical and non-technical audiences
· Ensure responsible and ethical use of AI technologies by adhering to governance standards
· Contribute to CI/CD pipelines and automate solution deployment and monitoring
Talented, committed, can-do individuals have always been the cornerstone of this dynamic organisation. If you have what it takes to thrive in this role and want to know more, please reach out to Shreeya Gurung on (08) 8306 8208 OR shreeya.gurung@akkodisgroup.com
Joining Akkodis as a Consultant
· Weekly Pay
· No payrolling processing fees
· Upskilling opportunities and training discounts
· Consultant gatherings events
· Akkodis SME meet ups/information sessions
· EAP Support Program
· Dedicated Account Management Support Team
Privacy
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"Akkodis is an Equal Opportunity employer, committed to all forms of workforce inclusion. We actively invite and encourage applications by candidates from diverse backgrounds"