Job description
We are seeking an experienced EL1 Data Scientist/Data Modelling Analyst to join a Federal Government department located in Greenway ACT. This contract is up to 12 months, which includes paid leave and 15.4% superannuation.
The Scheme is a high priority for the Government and the department, with the ongoing commitment to continually improve outcomes for survivors. The Scheme interacts with survivors to provide an outcome that can make a real difference in people’s lives
The department is committed to the success of the Scheme and developing high performing staff who provide empathic, survivor focused, trauma informed support.
The Service Delivery Branch is responsible for managing the end-to-end process for applications made under the Scheme. This includes liaising with applicants, receiving and validating applications, assessing and developing recommendations based on the legislation and advising outcomes to applicants.
The Redress System Improvement Taskforce seeks a motivated data scientist/data modeler for an senior analyst role in its Data & Evidence team.
Analysts in the Data & Evidence team will use data analytics and modelling techniques to find patterns, refine forecasting models and uncover trends in Redress Scheme data. This team plays a critical role in creating an evidence base to support planning and decision-making in Redress and will provide actionable insights to help optimise Scheme operations.
The Taskforce was established to identify opportunities and implement initiatives to improve and strengthen operations of the Scheme. As part of the Taskforce, you will collaborate with stakeholders across the Scheme and be responsible for managing or supporting key projects.
What you will do:
Prepare and use data to model business processes, developing evidence for decision-making
Develop data models to identify trends, forecast demand and cluster/categorise work
Work with the team to use machine learning to identify patterns and opportunities for efficiency
Prepare reports and visualizations that communicate complex findings to a lay audience
Document data processes and models, and reviewing or refreshing these as required
Consult with stakeholders across Redress to help build and test data models
Contribute to the development and implementation of continuous improvement in the Scheme, and regularly reporting on the progress and outcomes relating to data projects
Our ideal candidate:
Is highly data literate and has knowledge and experience in a range of data analytics, data science and machine learning techniques
Is experienced with data analysis, modelling and reporting in the platforms used by the Department: Teradata, Qlik, R Studio and SAS Enterprise Guide/Enterprise Miner
Is experienced in data processing languages such as SQL, R, SAS and Python
Has experience working on data & modelling projects, including presenting and reporting on outcomes, and documenting processes in standard operating procedures.
Has high attention to detail and accuracy, and can communicate professionally and clearly
Acts with high levels of integrity and professionalism in accordance with the APS values, while working in a dynamic and collaborative environment
Demonstrated critical thinking and problem solving with a solution-focused approach
Additional information regarding positions within Redress Group
Staff within the Redress Group may occasionally be exposed to concepts relating to child sexual abuse. Candidates should consider their capacity to manage the risks associated with this and note that a dedicated wellbeing program is available to all staff. All personnel in Redress are required to regularly declare any conflicts of interest in relation to the Scheme.
Applicants are required to hold Australian Citizenship at time of application and hold a Baseline security clearance. Candidates who do not currently hold a Baseline must be able to obtain and maintain this level of clearance.
If you are interested in this role, please APPLY NOW or call Jane Rippingale at DFP Recruitment on (02) 6162 7333 or email jrippingale@dfp.com.au for further information.
Applicants new to DFP may be asked to provide additional information including work rights status via a survey link – if requested, we ask that you provide this information in order to expedite your application.
DFP welcomes applications from Aboriginal and Torres Strait Islander people, people with diverse cultural and linguistic backgrounds and people with disability. In addition, DFP will provide reasonable adjustments for individuals with disability throughout the recruitment process. If you identify as a person with disability and require adjustments to the application, recruitment, selection and/or assessment process, please advise via adjustments@dfp.com.au or 1300 337 000 and indicate your preferred method of communication (email, phone, text) so we can keep in touch and meet your accessibility needs.
By clicking 'apply', you give consent that DFP may use your personal information to process your job application and to contact you for future employment opportunities. For further information on how DFP process your personal information please review the DFP Information Collection and Privacy Policy via https://www.dfp.com.au/about-us/policies. Do not submit any sensitive personal information in your resume.
The Scheme is a high priority for the Government and the department, with the ongoing commitment to continually improve outcomes for survivors. The Scheme interacts with survivors to provide an outcome that can make a real difference in people’s lives
The department is committed to the success of the Scheme and developing high performing staff who provide empathic, survivor focused, trauma informed support.
The Service Delivery Branch is responsible for managing the end-to-end process for applications made under the Scheme. This includes liaising with applicants, receiving and validating applications, assessing and developing recommendations based on the legislation and advising outcomes to applicants.
The Redress System Improvement Taskforce seeks a motivated data scientist/data modeler for an senior analyst role in its Data & Evidence team.
Analysts in the Data & Evidence team will use data analytics and modelling techniques to find patterns, refine forecasting models and uncover trends in Redress Scheme data. This team plays a critical role in creating an evidence base to support planning and decision-making in Redress and will provide actionable insights to help optimise Scheme operations.
The Taskforce was established to identify opportunities and implement initiatives to improve and strengthen operations of the Scheme. As part of the Taskforce, you will collaborate with stakeholders across the Scheme and be responsible for managing or supporting key projects.
What you will do:
Prepare and use data to model business processes, developing evidence for decision-making
Develop data models to identify trends, forecast demand and cluster/categorise work
Work with the team to use machine learning to identify patterns and opportunities for efficiency
Prepare reports and visualizations that communicate complex findings to a lay audience
Document data processes and models, and reviewing or refreshing these as required
Consult with stakeholders across Redress to help build and test data models
Contribute to the development and implementation of continuous improvement in the Scheme, and regularly reporting on the progress and outcomes relating to data projects
Our ideal candidate:
Is highly data literate and has knowledge and experience in a range of data analytics, data science and machine learning techniques
Is experienced with data analysis, modelling and reporting in the platforms used by the Department: Teradata, Qlik, R Studio and SAS Enterprise Guide/Enterprise Miner
Is experienced in data processing languages such as SQL, R, SAS and Python
Has experience working on data & modelling projects, including presenting and reporting on outcomes, and documenting processes in standard operating procedures.
Has high attention to detail and accuracy, and can communicate professionally and clearly
Acts with high levels of integrity and professionalism in accordance with the APS values, while working in a dynamic and collaborative environment
Demonstrated critical thinking and problem solving with a solution-focused approach
Additional information regarding positions within Redress Group
Staff within the Redress Group may occasionally be exposed to concepts relating to child sexual abuse. Candidates should consider their capacity to manage the risks associated with this and note that a dedicated wellbeing program is available to all staff. All personnel in Redress are required to regularly declare any conflicts of interest in relation to the Scheme.
Applicants are required to hold Australian Citizenship at time of application and hold a Baseline security clearance. Candidates who do not currently hold a Baseline must be able to obtain and maintain this level of clearance.
If you are interested in this role, please APPLY NOW or call Jane Rippingale at DFP Recruitment on (02) 6162 7333 or email jrippingale@dfp.com.au for further information.
Applicants new to DFP may be asked to provide additional information including work rights status via a survey link – if requested, we ask that you provide this information in order to expedite your application.
DFP welcomes applications from Aboriginal and Torres Strait Islander people, people with diverse cultural and linguistic backgrounds and people with disability. In addition, DFP will provide reasonable adjustments for individuals with disability throughout the recruitment process. If you identify as a person with disability and require adjustments to the application, recruitment, selection and/or assessment process, please advise via adjustments@dfp.com.au or 1300 337 000 and indicate your preferred method of communication (email, phone, text) so we can keep in touch and meet your accessibility needs.
By clicking 'apply', you give consent that DFP may use your personal information to process your job application and to contact you for future employment opportunities. For further information on how DFP process your personal information please review the DFP Information Collection and Privacy Policy via https://www.dfp.com.au/about-us/policies. Do not submit any sensitive personal information in your resume.