Lead Data Scientist

Lead Data Scientist at Women in Data®

Are you excited by innovation and keen to deliver meaningful change? Would you like the chance to help shape a new Data Science team, working together to uncover opportunity and solve real business problems in an exciting growing area.

If yes, then you may be the perfect fit for this opportunity to make your mark as a Lead Data Scientist within Aviva’s new Global Corporate & Specialty (GCS) Data and AI Team.

Aviva is investing in strengthening AI and analytics as a distinctive capability. The team you will be joining is recognised as a centre of excellence in our Global Data Science Department and with Aviva’s return to the Lloyd’s of London specialist insurance market, we have ambitious plans to grow GCS and provide expert support for our customers in an ever‑changing world.

The GCS Data team will aim to transform our business by using a growing stack of data‑assets to achieve tangible outcomes. Through strong internal and external stakeholder partnerships, we will enable a market leading data‑driven organisation that empowers our expert colleagues.

As the ideal candidate you’ll have experience of working with stakeholders and cross‑functional teams to identify and seize opportunities to apply AI and solve real‑world problems. You’ll play a key part in shaping the future of GCS insurance through cutting‑edge analytics, providing new data‑driven insights and designing and delivering successful, productionised AI solutions that improve decision making for our stakeholders.

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• Creativity meets problem‑solver. An inquisitive mind who can lead and inspire others.
  
• Experience in working both collaboratively and independently to solve complex business problems using data‑driven solutions, sharing your knowledge with others along the way.
  
• Excellent communication and interpersonal skills, including the ability to articulate the value of your work and present information effectively to non‑technical audiences.
  
• A strong analytical/numerical background and relevant experience of the application of data science, either through statistical modelling or using a programming language such as Python, SQL, R, C++ or similar.
  
• Experience in AI and ML, including best practice, would be favourable.
  

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• Starting salary between Norwich or Perth: £45,000 - £65,000 / London: £55,000 - £75,000 (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.
  
• Aviva‑funded Private Medical Benefit to help you get expert support when you need it.
  
• 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.
  

To find out more about working at Aviva take a look here.

We’d love it if you could submit your application online. If you require an alternative method of applying, please give Chloe Nettley a call on or send an email to .m

We’re inclusive and welcome everyone – we want applications from all backgrounds and experiences. Even if you don’t tick every box, we would still encourage you to apply. We also consider all forms of flexible working, including part time and job shares.

We are proud supporters of Women in Data. Connect, engage and belong to the largest free female data community in the UK – visit www.womenindata.co.uk to join our community.

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• Mid‑Senior level
  

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• Full‑time
  

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• Analyst
  

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• Information Services