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Data Science Leader
2 months ago
An exciting role has emerged in our high-profile data science team, shaping the future of insurance at Aviva through cutting-edge analytics. As an organisation, Aviva is investing in data science, machine learning, and advanced analytics as a distinctive capability.
About the Job:You'll work with one of the richest insurance datasets in the world, applying sophisticated techniques and technology to all stages of the data science process. You'll lead a team helping to formulate problems, extract, and prepare data, apply modelling, and then deploy the solution.
Key Responsibilities:- Highly numerate and educated to degree or postgraduate level in a relevant field - Mathematics, Statistics, Computer Science.
- Significant experience at each process within data science: problem definition, data acquisition & wrangling, modelling, feature engineering, and deployment.
- Programming knowledge and a gift for coding using: R, Python, SQL, SAS, or Spark.
- Capability to deliver projects, collaborate with operational teams, and explain technical concepts to non-specialists.
- Starting salary between £40,000 - £65,000 (depending on location, skills, experience, and qualifications).
- Bonus opportunity - 10% of annual salary. Actual amount depends on your performance and Aviva's.
- Generous pension scheme - Aviva will contribute up to 14%, depending on what you put in.
- 29 days holiday plus bank holidays, and you can choose to buy or sell up to 5 days.
- Up to 40% discount on Aviva products, and other retailer discounts.
- 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.
- Be part of our Aviva Communities and use your 3 paid volunteering days to help others.
To find out more about working at Aviva, take a look here. We'd love it if you could submit your application online.