Data Scientist

Data Scientist
Company:

Arriba Group


Details of the offer

Database Development & Administration (Information & Communication Technology)
Full time
Add expected salary to your profile for insights
About Us

The Arriba Group (Group) is a family of companies founded in 1998 with a clear focus on achieving our mission to be Australia's most progressive and people-centric companies and to achieve the best outcomes for all clients. We are committed to giving people the best opportunity in life – whether it's those who work with us or, our clients and that is why we were voted #4 best place to work 2024 by the Australian Financial Review. 
The Group consists of 3 companies: 
Rehab Management, which provides award-winning workplace rehabilitation, health, safety, and wellbeing solutions to private and public sector clientsAimBig Employment, a customer-centric innovative Disability Employment Services (DES) and Workforce Australia (WFA) ProviderLiveBig, a specialist allied health provider for people with disability, including participants of the NDIS. The Opportunity:

We are currently seeking a Data Scientist to join our IT team. This position will report directly into our Head of Data and AI.

We are looking for a self-motivated Data Scientist who exhibits enthusiasm, curiosity, and a proactive approach to join our team. The ideal candidate will possess a profound passion for data exploration, the discovery of insights, and programming. You should demonstrate a readiness to address complex challenges, an ability to think analytically, and the capacity to introduce innovative solutions. We foster a fast-paced and collaborative environment that emphasises continuous learning and innovation. You will play a crucial role in shaping the future of data initiatives, applying the latest in technology and methodologies to advance our capabilities. You will have the opportunity to:
Lead projects in generative AI, predictive AI, and machine learning.Provide insights that influence decision-making at the highest level of the company.Contribute significantly to a culture that prioritises innovation and continuous learning.Key responsibilities include, but are not limited to: Collect data, analyse data to find actionable insights and contribute to continuous improvement.Analyse, clean and prepare data for accurate data models.Design and develop algorithms for predictive and generative AI models.Train and fine tune models for accuracy and better performance.Deploy robust and applicable models into production.Collaborate with leaders across the business to understand business requirements, deliver data-driven solutions and enhance data capabilities.Effectively convey analytical results and insights to stakeholders with varying levels of technical expertise.Pursue enhancements in our processes, tools, and methodologies to elevate efficiencies in our operational environment and solutions.About You: 5+ years' experience working in data analysis, statistical modelling, and machine learning.Tertiary certification in Computer Science, Data Science, Statistics, Mathematics, and Engineering or equivalent.Strong proficiency in Python, and SQL.Demonstrated experience in machine learning techniques and algorithms.Proficiency in tools such as AzureML, Azure OpenAI, Azure AI Search and Azure Synapse Analytics.Proficiency in business intelligence tool – e.g., Microsoft Power BI/Tableau.Excellent written and verbal communication skills.Strong mathematical and numeracy skills.Excellent analytical skills, critical thinking abilities and a passion for working with data. APPLY!
If you would like to be considered for the position please click "apply" or submit your resume to ******  

We put people first. Let's create the future together. We encourage applications from people of all ages, nationalities, abilities, and cultures – including Aboriginal and Torres Strait Islander peoples, the LGBTQI+ community and people living with disability. We are happy to adjust our recruitment process to support accessibility needs.

Please be advised that Rehab Management, requires all prospective individuals to undertake and provide satisfactory clearance of background checks and/or registered checks.
The checks undertaken by Rehab Management, include (but not limited to), police background checks, NDIS clearance and Working With Childrens check.
Unsuccessful or unsatisfactory clearance of these checks will be taken into consideration and may result in the unsuccessful outcome of the recruitment process and/or withdrawal of any employment contract agreement made prior to commencement. Your application will include the following questions:
Which of the following statements best describes your right to work in Australia?
How many years' experience do you have as a data scientist?
What is your salary expectation for this role?
Don't provide your bank or credit card details when applying for jobs.
#J-18808-Ljbffr


Job Function:

Requirements

Data Scientist
Company:

Arriba Group


Director, South Pacific Satellite Lab

Drive significant innovations in the South region through strategic use of the GDI network; Lead the execution of annual business plans for the ASP South reg...


From Coca-Cola Hbc - New South Wales

Published 17 days ago

Lead Data Scientist

45548 Lead Data Scientist  Permanent  Sydney, NSW Be a part of Westpac's supportive and inclusive team How will I help? Full-time permanent position as Lead ...


From Westpac Group - New South Wales

Published 17 days ago

Botanist (Science Degree Majoring In Botanical Study Or Similar Discipline)

An exciting opportunity for a full-time biodiversity assessment officerwith a strength in botany, has opened working out of our Kariong office, NSW. We are...


From Travers Bushfire & Ecology - New South Wales

Published 17 days ago

Disaster Management And Humanitarian Assistance (Dmha) Research Analyst

Disaster Management and Humanitarian Assistance (DMHA) Research Analyst   #24-2866 Pearl Harbor-Hickam , HI Ford Island, HI Worker Type Area of Inter...


From Valiant Integrated Services, Llc - New South Wales

Published 15 days ago

Built at: 2024-07-05T07:04:00.768Z