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Data Scientist

2 months ago


Perth, Western Australia Aviva Full time
About the Role

We are seeking an experienced Data Scientist to join our Customer Science team as a Technical Expert. In this role, you will be responsible for building productionized solutions using machine learning techniques and approaches.

Key Responsibilities
  • Develop and deploy end-to-end machine learning deployments
  • Partner with colleagues to identify opportunities to apply AI and make a difference to real business problems
  • Build high-impact models that power our customer and marketing transformation
  • Work with stakeholders and non-technical experts to communicate technical ideas and solutions
Requirements
  • Education to degree or post-graduate level in a numerate/programming-oriented subject or equivalent knowledge through industry experience
  • Experience of using Python and SQL-like languages in data science
  • Knowledge and experience in machine learning techniques and approaches
  • Experience of working with stakeholders and non-technical experts
What We Offer
  • Starting salary: £50,000 - £70,000 (depending on location, skills, experience, and qualifications)
  • Bonus opportunity: 10% of annual salary
  • Generous pension scheme: Aviva will contribute up to 14%
  • 29 days holiday plus bank holidays, and you can choose to buy or sell up to 5 days
  • Make your money go further: Up to 40% discount on Aviva products
  • Up to £1,200 of free Aviva shares per year through our Matching Share Plan and share in the success of Aviva with our Save As You Earn scheme
  • Brilliantly supportive policies including parental and carer's leave
  • Flexible benefits to suit you, including sustainability options such as cycle to work
  • Make a difference, be part of our Aviva Communities and use your 3 paid volunteering days to help others
  • We take your wellbeing seriously with lots of support and tools
About Aviva

We're inclusive and welcome everyone - we want applications from people with diverse backgrounds and experiences.

We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working - spending around 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues.