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Data Scientist


Melbourne, Victoria, Australia

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Job Posted: 08/11/2017

Job Category:

IT and Telecommunications / Business Intelligence / Data Analyst

Job description:
Data Scientist

Apply now Job no: R1010681
Work type: Permanent
Location: VIC - CBD & Inner Suburbs
Categories: Information Services, Marketing - Digital, Marketing, Information Services - Technical

Bupa is extraordinary. We are a world leading health & care group with over 18,000 people in Australia and New Zealand, and our purpose is to help people live longer, healthier and happier lives.  We're making a difference in health & care through our leading health insurance, our modern Dental clinics, Bupa Optical stores and our first Bupa GP clinics, with more on the way.  As well as personalised care at over 65 Bupa Aged Care Homes.

At Bupa our people are transforming and making a difference in the world of health & care.

About the opportunity

We are seeking an experienced and creative Data Scientist to join our Customer Data and Analytics team to play a key role in the utilisation of data to personalise marketing campaigns, deliver better customer experiences and enable strategic insights. You’ll visualise results and patterns observed through the application of statistical and machine learning techniques on data.

Reporting to the Head of Customer Data and Analytics, this role requires a high level of creative thinking and the ability to propose innovative ways to view problems and validate findings through an experimental approach.

Your background

You will be inspired and driven by the opportunity to work with a global leader in health care.

You are a confident communicator who is able to clearly and concisely articulate findings to both technical and business stakeholders.

You have:

  • Sound experience and understanding of statistics and machine learning techniques and algorithms
  • Excellent scripting and programming skills
  • Strong data analysis, discovery and preparation skills
  • An understanding of data visualisation principles and experience with data visualisation tools.

You use:

  • Techniques and algorithms including regression, Naive Bayes, SVM, Decision Forests, etc.
  • One or more of the common data science toolkits, such as R, PySpark, SAS, MatLab.  
  • A variety of query languages such as SQL, Hive, Pig.
  • NoSQL databases, such as MongoDB, DocDB, Hbase.  

Join us

Bupa believes in hiring the best talent in the market. We are known for our vibrant, high performing and incredibly rewarding workplace, and we take pride in creating exceptional and meaningful work experiences, encouraging innovation, delivering award winning benefits to our employees and being involved with our communities.

Bupa has everything – growth, passion, results and a caring & supportive culture that surround a burning ambition and purpose that is the best in the world.

Find the purpose in your career!

Advertised: AUS Eastern Daylight Time
Applications close: AUS Eastern Daylight Time

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