Data Scientist

TN United Kingdom; Birmingham; On-site; GBP 35,000 - 45,000; Full time

Job summary

A leading company is seeking a Data Scientist to join their Counter-Fraud Data Science and Advanced Analytics Team. This role involves applying advanced analytics and machine learning techniques to solve fraud-related challenges using one of the richest insurance datasets. The ideal candidate will have a strong background in statistics and programming, with opportunities for continuous learning and development.

Benefits

Bonus opportunity of 10% of annual salary

Generous pension scheme with up to 14% contribution

29 days holiday plus bank holidays

Up to 40% discount on Aviva products

Up to £1,200 of free Aviva shares annually

Flexible benefits including sustainability options

Paid volunteering days

Comprehensive wellbeing support

Qualifications

• Degree or MSc in a numerate field.
• Experience in data science techniques including statistics, machine learning, and AI.
• Strong programming skills in Python, SQL, and/or R.

Responsibilities

• Apply advanced analytics and machine learning techniques to tackle fraud-related challenges.
• Work across the full data science lifecycle from problem definition to deployment.
• Collaborate with stakeholders to deliver actionable insights.

Skills

Statistics

Machine Learning

AI

Python

SQL

R

Communication

Education

Degree or MSc in Mathematics, Statistics, Computer Science, or a modelling-based science

Job description

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About the Role

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.

Key Responsibilities

1. Apply advanced analytics and machine learning techniques to tackle fraud-related challenges.
2. Work across the full data science lifecycle – from problem definition and data wrangling to modelling and deployment.
3. Collaborate with stakeholders to deliver actionable insights and productionised AI solutions.
4. Be part of Quantum, Aviva’s dedicated Data Science community, and grow your skills through continuous learning and knowledge sharing.

Skills and Experience

1. Degree or MSc in a numerate field such as Mathematics, Statistics, Computer Science, or a modelling-based science.
2. Experience in data science techniques including statistics, machine learning, and AI.
3. Strong programming skills in Python, SQL, and/or R.
4. Ability to communicate complex technical ideas to non-technical audiences.
5. Experience working with large datasets and deploying models into production environments.

What We Offer

Our purpose - with you today, for a better tomorrow – is a promise we make to our colleagues too. We invest in our people and offer:

• Starting salary £35,000 - £45,000 (depending on location, skills, experience, and qualifications)
• Bonus opportunity of 10% of annual salary, based on performance
• Generous pension scheme with up to 14% contribution from Aviva
• 29 days holiday plus bank holidays, with options 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 annually through our Matching Share Plan and Save As You Earn scheme
• Supportive policies including parental and carer’s leave
• Flexible benefits, including sustainability options like cycle to work
• Paid volunteering days to make a difference in communities
• Comprehensive wellbeing support and tools

Our Inclusive Culture

We’re inclusive and welcome everyone – applications from all backgrounds and experiences are encouraged. Even if you don’t tick every box, we still encourage you to apply. We support flexible working arrangements, including part-time and job sharing, and adapt locations, hours, and patterns to suit our needs and yours.