Data Scientist

4 days ago

Adelaide, South Australia Randstad Australia Full time
Job Title: Data Scientist
Location: Adelaide, South Australia
Contract Duration: 12 months (with potential for extension)
Work Arrangement: 60% Onsite / 40% Offsite
Start Date: ASAP

About the Company:
Our client is at the beginning of their journey in leveraging AI for real-life business use cases. They have had some success with various AI-driven projects, including defect detection using Computer Vision, and they are now looking to solidify their AI strategy. The team is small but ambitious, consisting of the Data and Decision Science Lead and two graduate data scientists. They utilise platforms such as Databricks and Snowflake and have begun integrating GenAI chatbots to enhance document reading and processing capabilities.

Position Overview:
We are seeking a Data Scientist with 3-5 years of mature industry experience to join their team on a 12-month contract/ The ideal candidate will bring expertise in AI and machine learning technologies and possess the ability to implement MLOps for the first time within their organisation. This role requires a proactive individual who can challenge current approaches constructively and contribute to the growth and AI literacy of the team and the broader business.

Key Responsibilities:
Develop and implement an AI-driven risk-based asset management process incorporating Computer Vision, early defect detection, and geospatial analytics.Utilize and integrate GenAI with our internal knowledge base and enterprise data platform (Ask ada) built on Snowflake and Databricks.Lead the implementation of MLOps and contribute to establishing best practices in AI and machine learning operations.Collaborate closely with the Team Lead and the two graduate data scientists, providing mentorship and training to elevate their skills and knowledge.Engage with various stakeholders to ensure AI projects align with business goals and can be effectively translated into actionable insights.Drive the development and deployment of machine learning models and neural networks to solve complex business problems.Support and educate the wider business on AI literacy, helping to foster a culture of data-driven decision-making.Required Skills and Experience:
3-5 years of industry experience in data science and AI, with a strong track record of delivering successful AI projects.Proficiency in Snowflake, Databricks, Python, neural networks, machine learning, MLOps, and DevOps.Experience with Computer Vision techniques and tools.Strong understanding of geospatial analytics and their applications in asset management.Proven ability to implement MLOps from scratch and establish best practices in machine learning operations.Excellent problem-solving skills and the ability to constructively challenge existing approaches.Strong communication and collaboration skills, with the ability to mentor and train junior team members.A proactive and self-motivated approach, with a passion for continuous learning and innovation in AI technologies.Preferred Qualifications:
Experience working with GenAI and integrating it with enterprise data platforms.Prior experience in training and educating non-technical stakeholders on AI and data science concepts. Applicants with Full Working Rights in Australia will be considered for this position. ONLY shortlisted applicants will be contacted. APPLY NOW for my immediate consideration by submitting your CV in Word Format. Should you have any questions or queries, please contact Tanu Ghosh on for a confidential discussion. At Randstad Digital, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.
experience 3 years
skills Join our client's ambitious team as a Data Scientist to lead AI-driven innovations, implement MLOps, and elevate our AI capabilities within a dynamic environment.
qualifications 1. Experience working with GenAI and integrating it with enterprise data platforms.2. Prior experience in training and educating non-technical stakeholders on AI anddata science concepts.
education Bachelor Degree

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