At a Glance
- Tasks: Transform complex data into clear insights and build predictive models for smarter decision-making.
- Company: Join Aviva, a leading insurance company with a friendly and inclusive culture.
- Benefits: Competitive salary, generous pension scheme, 29 days holiday, and flexible working options.
- Other info: Be part of a growing data science community with excellent career development opportunities.
- Why this job: Make a real impact by shaping data-driven solutions in a supportive community.
- Qualifications: Strong numerical skills and coding experience in Python, R, SQL or Spark.
The predicted salary is between 29700 - 36300 £ per year.
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 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.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Aviva plc!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at Aviva plc.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Aviva plc.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Aviva plc, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Aviva plc, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Aviva plc. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Aviva plc
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Aviva plc!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
