About The Company

Pope Recruitment Pty works with organisations to connect them with skilled professionals who can contribute to meaningful business outcomes. We are seeking a Data Scientist for an opportunity in the Information and Communication Technology industry. The role supports data-informed decision-making by turning complex information into clear, useful insights.

The successful candidate will bring sound analytical judgement, curiosity, and a practical approach to applying data science in a business environment.

About The Role

As a Data Scientist, you will analyse complex data, develop predictive models, and identify opportunities to use information more effectively. You will work with stakeholders across the business to understand their goals, define analytical questions, and deliver recommendations that can guide planning and operational decisions. This position combines statistical analysis, machine learning, data exploration, and communication.

You will also contribute to the development and maintenance of data pipelines and supporting infrastructure, helping ensure that analysis is reliable, repeatable, and useful to the people who need it.

The role is suited to a professional who can move comfortably between technical investigation and business discussion. You should be able to explain methods and results in accessible language, assess the limitations of available data, and select approaches that are appropriate to the question at hand. You will keep informed about developments in data science and apply relevant techniques thoughtfully, with attention to the quality and practical value of your work.

Qualifications

- Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, Data Science,



or a related discipline.
- Professional experience analysing large or complex datasets using statistical methods and machine learning techniques.
- Strong programming proficiency in Python or R, including the ability to write clear, maintainable code for analysis and modelling.
- Experience with big data technologies such as Hadoop, Spark, or Cassandra, and an understanding of their application to data processing.
- Knowledge of predictive modelling, data preparation, model evaluation, and communicating analytical findings.
- Strong analytical, critical-thinking, and problem-solving skills, with care for data quality and methodological limitations.
- Clear written, verbal, and presentation skills, including the ability to explain technical concepts to non-technical audiences.
- Ability to collaborate constructively with colleagues from different functions and areas of expertise.
- Interest in technology, innovation, and the responsible use of data to address business challenges.

Responsibilities

- Analyse large and complex datasets using appropriate statistical, machine learning, and exploratory techniques.
- Develop, test, and refine predictive models to support business growth, planning, and informed decision-making.
- Partner with cross-functional stakeholders to understand business needs, frame analytical questions,



and identify data-driven solutions.
- Investigate existing and new data sources, assess their suitability, and develop effective approaches to extract useful information.
- Translate findings into clear insights, recommendations, and presentations for senior leaders and other stakeholders.
- Build, improve, and maintain data pipelines and related infrastructure in collaboration with relevant technical colleagues.
- Document analytical processes, assumptions, and results to support transparency, consistency, and future use.
- Monitor developments in data science and machine learning, and evaluate techniques that may improve the quality or relevance of analysis.

Benefits This opportunity offers the chance to work on complex analytical challenges and contribute to decisions with practical business impact. You will collaborate with people across different functions, apply a broad range of data science methods, and continue developing your technical and communication skills. The role provides scope to explore data sources, improve analytical processes, and contribute to evolving data capabilities. Specific employment conditions and benefits can be discussed during the recruitment process.

Equal Chance

Pope Recruitment Pty is committed to fair and inclusive recruitment. Applicants will be considered on their skills, experience, and suitability for the role. We welcome candidates from diverse backgrounds and do not tolerate discrimination on the basis of personal characteristics protected by applicable law. Reasonable adjustments can be discussed during the recruitment process to support candidates’ participation.

📌 Data Scientist (Australia)
🏢 TaskVerse
📍 Australia