Market Researcher for Trends and Predictive Forecasting
Location: Docklands, VIC
Duration: 5 months
Keywords: optimisation, data mining and analytics, programming, machine learning
Advancements in digital technology present never-ending opportunity for improvement; improvements in how we run our organisations, improvements in peoples’ lives and improvements in the environment. Aurecon’s Digital Futures team exists to enable our clients and ourselves to use technology to drive positive change.
Aurecon’s Digital Futures team has a single focus, on understanding and utilising digital innovation. We actively explore emerging trends and technologies (which we refer to as Horizon 3), and work in parallel with our delivery teams to help them imagine how their specific domains might be improved and complemented through the use of these emerging trends and technologies.
Recently, the emergence of big data and the renaissance of artificial intelligence (AI) are offering new ways of predicting future trends and conditions. The availability of web-scale datasets enables engineers and data scientists to train machines learning algorithms capable of translating texts, predicting electricity demands, piloting drones and driving cars. By combining both data-driven decision making with market research skills and capability, we want to improve decision making for the organisation, leading to improvements in profitability, safety, and efficiency.
The organisation is seeking expertise in data science and analytics with preferable previous experience in market research. The candidate will be tasked in incorporating data/information from both internal and external data sources with the view to creating a series of Horizon 3 thought leadership papers. This content will inform decision making for both the organisation and our clients.
The expertise is necessary to advance methodologies in data analytics and underpin our forecasting methods. The candidate may have previous experience with market research to predict buyer behaviour and purchasing trends, to be fed into product development and marketing campaigns. The candidate will collaborate with parts of our business in applying new digital tools with increasingly available data sources to tell compelling stories of the future conditions of our business and the industry as a whole.
Research to be Conducted
The five month research project will include:
- Identification, collection, aggregation and analysis of internal and external data sources
- Application of Data Science methodologies and development of associated analytics tools
- Development of associated predictive models for trend forecasting
- Thought leadership content generation, telling compelling stories through data driven decision making
A variety of tools and resources are available and others may be made available as required for the project. Part of the project work may involve the establishment/development or integration of some these resources.
For this project, we are looking for PhD students with:
- Programming skills
- Prior experience (or interest) in market research
- Data analytics
- Data collection techniques
The expected outcomes of the project will be one or multiple data analytics based thought leadership papers, demonstrating the ability to accurately reflect the current state of any given industry across all the areas in which we operate, as well as any forecasted predictions.
The intern will receive $3,000 per month of the internship, usually in the form of stipend payments.
It is expected that the intern will primarily undertake this research project during regular business hours, spending at least 80% of their time on-site with the industry partner. The intern will be expected to maintain contact with their academic mentor throughout the internship either through face-to-face or phone meetings as appropriate.
The intern and their academic mentor will have the opportunity to negotiate the project’s scope, milestones and timeline during the project planning stage.
To participate in the AMSI Intern program, all applicants must satisfy the following criteria:
- Be a PhD student currently enrolled at an Australian University.
- PhD candidature must be confirmed.
- Applicants must have the written approval of their Principal Supervisor to undertake the internship. This approval must be submitted at the time of application.
- Internships are also subject to any requirements stipulated by the student’s and the academic mentor’s university.
27 October 2017
INT – 0358