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Data Scientist
2 months ago
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
- 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
- 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
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.