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Data Scientist

  • Location: Brisbane Head Office
  • Number of Positions Available: 1
  • NTI Reference Number: DATA
  • Date Available: 31 May 2019
  • Work Type: Full time

National Transport Insurance (NTI) is an award winning, recognised market leader in the specialist insurance industry, within our area of our specialty and chosen markets, NTI:

  • Ranked #1 in both Heavy Motor and Marine/Freight insurance class;
  • Is the emerging provider of Mobile Plant & Equipment coverage, and
  • Pioneered heavy motor roadside assistance offering

As Australia’s specialist insurer backed by CGU (Insurance Australia Group) and Vero (Suncorp), NTI is also committed to being a Best Employer of the Best People, delivering real benefits, professional development, career advancement for our employees – attracting and retaining the best people with the right mind, character and talent.

Whom we are looking

We are currently looking for a commercially experienced data science practitioner (Data Scientist) to join our established Data Science team.

If you would like to further progress your data science career within the insurance/financial services sector and have had the experience and desire to work both independently and collaboratively with various business and technical stakeholders to:

  • Develop and qualify machine learning proposition
  • Unpick hidden truth, trends and anomalies, from a variety of input sources and types
  • Train, test and evaluate predicative models, and
  • Integrate and implement predictive outcome to core business functions

Please reach out, we’d like to hear from you!

What we see from you

In order for us to quickly pick you up from the crowd, the followings highlights can be treated as key criteria, upon which our evaluation and decisions are based.

Character:

  • Having an inquisitive, investigative mindset with a healthy disregard of the status-quo however respect and keen to understand the current view of a given situation or scenario
  • Strong sense and observability of the environment, receptive and empathetic when engaging people and managing change
  • Strong desire and proven record of continued learning and knowledge acquisition, having genuine interests in the field of AI/ML and Data Science

Tenure and Commercial Experience:

  • A minimum of five years’ experience as Data Scientist or equivalent capacity
  • Demonstrated cases/example of end-to-end business value delivery employing ML and predictive analytics
  • Demonstrated experience integrating predictive outcome into backend systems and business processes
  • Experience with Scrum/Agile project delivery methodologies; working in and with a diverse range of project roles in tight delivery timeframe

Technical Experience:

  • Applied knowledge in Supervised, Unsupervised and Ensembled algorithms/techniques:
  • Logistic Regression
  • Neural Networks, MLP
  • Decision Tree
  • (Gaussian)Naïve Bayes
  • Random Forest, GBM
  • Bagging
  • PCA
  • SVM
  • K-Means
  • Language Models (LMs)

 

 

  • Applied knowledge and use of the following languages and tools:
  • Python
  • SQL/Spark/Kafka
  • Git
  • Docker
  • Java/Scala/C#
  • PowerBI/Tableau
  • Past experience and exposure to the following platforms:
  • Linux
  • Google Cloud Platform
  • Amazon/Azure

Academics:

  • Tertiary qualification in Mathematics/Statistics/Physics/Engineering/Computer Science, or
  • Tertiary qualification in other areas with significant past working experience in data related fields supplemented with relevant online learnings on ML/Data Science from recognised MOOC providers

Interested?

If you’d like to join our dedicated Data Science Team, please submit your Resume and Cover Letter to careers@nti.com.au

Lastly and Importantly

NTI is committed to your development and appreciates what you bring to us.

Commensurate remuneration and benefit package is available.

Applications close 14 June 2019.

Apply for this position, send us your résumé:

Please include Country/Area Code
Maximum 5MB - PDF and Word Documents accepted only.
Maximum 5MB - PDF and Word Documents accepted only.
 

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