National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist

Aviva
Perth
2 weeks ago
Create job alert

Data Scientist
Salary: £35,000 - £45,000

Are you passionate about solving complex problems and using data to make a real-world impact? Do you thrive in a collaborative environment where innovation and continuous learning are part of everyday life? If so, we’d love to hear from you!

We’re looking for a Data Scientist to join our high-profile Counter-Fraud Data Science and Advanced Analytics Team at Aviva. This is your chance to work with one of the richest insurance datasets in the world and help shape the future of fraud detection through cutting-edge analytics and AI.

A bit about the job:

Apply advanced analytics and machine learning techniques to tackle fraud-related challenges.

Work across the full data science lifecycle – from problem definition and data wrangling to modelling and deployment.

Collaborate with stakeholders to deliver actionable insights and productionised AI solutions.

Be part of Quantum, Aviva’s dedicated Data Science community, and grow your skills through continuous learning and knowledge sharing.

Skills and experience we’re looking for:

Degree or MSc in a numerate field such as Mathematics, Statistics, Computer Science, or a modelling-based science.

Experience in data science techniques including statistics, machine learning, and AI.

Strong programming skills in Python, SQL, and/or R.

Ability to communicate complex technical ideas to non-technical audiences.

Experience working with large datasets and deploying models into production environments.

What you’ll get for this role:

Our purpose - with you today, for a better tomorrow – is a promise we make to our colleagues too. And one of the ways we live up to that promise is by investing in you. We have so much to offer when it comes to being an Aviva colleague.

Startingsalary£35,000 - £45,000 (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

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

Take a look to learn more. Put a salary into this calculator to see what your total Aviva Reward could be.

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.

Related Jobs

View all jobs

Data Scientist

Data Scientist - AI / ML, Python, Scripting, Cyber Security

Data Scientist - Inside IR35 contract

Data Scientist

Data Scientist

Data Scientist / ML Engineer

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.