At a Glance
- Tasks: Transform complex data into clear insights and predictive models for smarter decision-making.
- Company: Join Aviva, a leading insurance company with a friendly and inclusive culture.
- Benefits: Competitive salary, generous pension, 29 days holiday, and flexible working options.
- Other info: Be part of a supportive community with excellent career growth opportunities.
- Why this job: Make a real impact by shaping data stories and helping teams succeed.
- Qualifications: Strong numerical skills and coding experience in Python, R, SQL or Spark.
The predicted salary is between 29700 - 36300 £ per year.
Location: Norwich, Bristol or York
Salary: Circa £33k
Do you love turning complex data into something clear and useful? Are you someone who enjoys solving problems, shaping stories through data and helping people make smarter decisions? If so, this could be the right role for you.
A bit about the job:
You'll join our Insurance, Wealth and Retirement Analytics Team - a friendly group shaping how we use data across Aviva. You'll build and maintain predictive models that help our teams make confident, data-led decisions. You'll work closely with people across the business, making sure our insights are understood and used in the right way.
You'll explore one of the richest insurance datasets in the world and turn it into solutions that make a real difference. And you'll play an active part in our growing data science community.
Skills and experience we're looking for:
- Strong numerical skills and a degree or equivalent experience in maths, statistics, computer science or a similar field.
- Confident coding skills in Python, R, SQL or Spark.
- Experience using modern analytics platforms such as Dataiku or Snowflake.
- Ability to explain technical ideas clearly and work well with technical and non-technical teams.
- Experience across the full data science workflow: defining the problem, preparing data, building models and deploying solutions.
What you'll get for this role:
- Starting salary Circa £33k (depending on location, skills, experience, and qualifications)
- Bonus opportunity 8% - actual amount depends on your performance and Aviva's
- Generous pension scheme e.g. if you put in 8%, Aviva adds 14% in.
- 29 days holiday plus bank holidays, and you can choose to buy or sell up to 5 days
- Aviva-funded Private Medical Benefit to help you get expert support when you need it
- Make your money go further - 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
- 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
Aviva is for everyone: We're inclusive and welcome everyone - we want applications from all backgrounds and experiences. Excited but not sure you tick every box? Even if you don't, we would still encourage you to apply. We also consider all forms of flexible working, including part time and job shares.
We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working - spending at least 50% of our offices every week - combining the benefits of flexibility, with time together with colleagues.
Data Scientist in Bristol employer: Aviva plc
Aviva is an exceptional employer that prioritises the growth and well-being of its employees, offering a competitive starting salary of around £60,000 along with a generous benefits package including a robust pension scheme, private medical benefits, and flexible working options. The collaborative work culture fosters technical excellence and continuous improvement, allowing you to make a meaningful impact while being part of a supportive team dedicated to delivering fair outcomes for customers in challenging situations.
