At a Glance
- Tasks: Join our data science team to solve complex problems using cutting-edge analytics.
- Company: Aviva is a leading insurance provider, investing in advanced data science and analytics.
- Benefits: Enjoy a competitive salary, bonus opportunities, generous pension, and 29 days holiday.
- Why this job: Make a measurable impact in a supportive, inclusive environment with flexible working options.
- Qualifications: Degree or MSc in Mathematics, Statistics, or Computer Science; coding skills in Python, SQL, or Spark.
- Other info: We welcome applications from all backgrounds and offer paid volunteering days.
The predicted salary is between 30000 - 40000 £ per year.
Are you someone who enjoys problem solving, and who is curious about data and the insight that can be gained from it? Typically for this role you will be highly numerate, have a mathematical, science or data background and you will be keen to develop your skills further to become an expert data scientist. You will enjoy working as part of a team and have good communication and interpersonal skills.
A bit about the job: An exciting opportunity has arisen in our high-profile data science team delivering the future of insurance at Aviva through cutting-edge analytics. 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 help to formulate problems, extract, and prepare data, apply modelling, and then deploy the solution. Aviva are investing in data science, machine learning and advanced analytics as a distinctive capability. The UK team is recognised as a centre of excellence in our Global Data Science Practice. Join us, and you’ll have the chance to define a significant & measurable impact on Aviva.
Skills and experience we’re looking for:
- Highly numerate and educated to degree or postgraduate (MSc) in a meaningful field - Mathematics, Statistics, Computer Science
- Experience of solving complex non-routine problems; along with expertise in some, if not all, of the following areas: Statistics, Machine Learning, Deep Learning & GenAI
- 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: Python, SQL, or Spark
- Capability to deliver projects, collaborate with operational teams and explain technical concepts to non-specialists
What you’ll get for this role:
- Starting salary between £30,000 - £40,000 (depending on skills, experience, and qualifications)
- Bonus opportunity – 8% 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
- 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 around 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues. We interview every disabled applicant who meets the minimum criteria for the job. Once you’ve applied, please send us an email stating that you have a disclosed disability, and we’ll interview you. We’d love it if you could submit your application online. If you require an alternative method of applying, please give Matthew Drew a call on 0121 234 7664 or send an email to matthew.drew@aviva.com.
Contact Detail:
Aviva Recruiting Team
matthew.drew@aviva.com
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, SQL, and Spark. Having hands-on experience or projects showcasing your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Engage with the data science community by attending meetups, webinars, or online forums. Networking with professionals in the field can provide insights into the latest trends and may even lead to referrals for job openings.
✨Tip Number 3
Prepare to discuss your problem-solving approach during interviews. Be ready to share specific examples of complex problems you've tackled, the methodologies you used, and the outcomes of your efforts.
✨Tip Number 4
Showcase your ability to communicate technical concepts to non-specialists. Practice explaining your past projects in simple terms, as this skill is crucial for collaborating with operational teams at Aviva.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences related to data science. Emphasise your educational background in Mathematics, Statistics, or Computer Science, and any specific projects or roles where you've applied machine learning or statistical techniques.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your problem-solving skills and experience with data can contribute to Aviva's goals. Be sure to include examples of past projects that demonstrate your capabilities in data acquisition, modelling, and deployment.
Showcase Technical Skills: Clearly outline your programming knowledge in Python, SQL, or Spark within your application. If you have experience with deep learning or GenAI, make sure to highlight this as well, as it aligns with the job requirements.
Prepare for Potential Interviews: While this step is not part of the written application, it's good to prepare for interviews by thinking about how to explain complex technical concepts in simple terms. Practice discussing your previous work and how it relates to the role at Aviva, focusing on collaboration and communication skills.
How to prepare for a job interview at Aviva
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples of complex problems you've solved in the past. Highlight your thought process and the techniques you used, especially in data wrangling and modelling.
✨Demonstrate Technical Proficiency
Be ready to talk about your experience with programming languages like Python, SQL, or Spark. You might even be asked to solve a coding challenge, so brush up on your skills beforehand.
✨Communicate Clearly
Since you'll need to explain technical concepts to non-specialists, practice simplifying complex ideas. Use analogies or straightforward language to demonstrate your communication skills.
✨Research Aviva's Data Science Initiatives
Familiarise yourself with Aviva's approach to data science and analytics. Understanding their projects and goals will help you align your answers with their vision during the interview.