LV= GI Careers / Key Teams / Data Science

Cutting-edge, collaborative and incredibly exciting

Data Science at LV= GI

From combating fraud to improving our claims processes and understanding the individual risk of having an accident to calculate a price, we know machine learning and artificial intelligence will shape the future of our business. That’s why we’re putting data science at the heart of everything we do, applying machine learning to influence every decision we make. So, it’s no wonder our Data Science and Data Engineering teams are such an exciting team to be part of.

Do you want to join a team who are transforming the business by delivering models that are impacting all parts of the business and ultimately our customers? Do you want to innovate and work on the latest research topics to the highest level of technical excellence? If so, LV= GI is the place to be.

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Data Science

Our Data Scientists turn our huge variety and depth of data into actions. By building machine learning models that predict the future and influence all types of business decisions, they help us provide a better service to our customers.

Data Engineering

Our Data Engineers help our Data Scientists get the most out of Allianz’ data by building the best models they possibly can. Identifying areas of innovation in the data, tools and techniques we use, they’re always exploring new ways to improve how we do things. And by managing and monitoring our deployments, they ensure our models continue to work optimally throughout their lifetime.

Doing the right thing

Giving back is something we take very seriously. We work with the Alan Turing Institute and have applied data science for social good to help Ofsted and the World Bank. We play an active role in Diversity and Inclusion in LV= GI, using the power of data to help understand and overcome issues. We also want to fix the gender imbalance traditionally seen in data related roles, so we take part in and sponsor initiatives such as Tech She Can and Women In Data.

Driven and ambitious, our team of Data Scientists and Data Engineers work together at the cutting-edge of tech to find answers to the challenges facing our industry. And they’re breaking new ground every day. Join us and play your part in revolutionising the impact machine learning has on our business – and beyond.

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Investing in your development

We want our people to be the best they can be. That’s why we’ll invest in your development every step of the way, helping you get to wherever you want to go. As part of our Data Science team, you’ll find plenty of development opportunities available, including:

  • Learning on the job from the hugely talented team of experts
  • Approx. 20% of your time will be spent on learning and development
  • Courera, DataCamp and LinkedIn Learning online training
  • Support towards training and exams for Microsoft Data Engineering certification
  • Potential to apply for a part time MSc in Data Science co developed by LV= GI and the University of Bristol
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Meet some of the people you could be working with

Shreena Patel

Lead Data Scientist

"Since joining the team, I've learnt to trust myself more. There's been plenty of opportunities to grow and take on responsibility and it's helped me to figure out what my strengths are."

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Liam Holmes

Data Scientist

"I’m a Data Scientist working for LV= GI in the University of Bristol office - I get to work with cutting edge research and technologies everyday."

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Mathias Munk

Data Engineer

“The best part about working in the Data Science team is that we’re working on cutting edge technologies.”

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Jereni Tolentino

Senior Data Engineer

"Technology changes all the time, so I read about the latest technology and see if we can apply that to our current infrastructure to improve the current processes and make them more efficient."

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David Saunders

Data Engineer

"When joining the team, I only had the most basic knowledge of data engineering as it’s not something that universities really teach. The team was really understanding of this and has spent a lot of time showing me the ropes and have put a big emphasis on me learning as much as I can."

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