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Graduate Opportunity

Data and Analytics Graduate Programme 2023

Data Science/Analytics/Maths.

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Are you ready to create a brighter future together? 

At Zurich our brand purpose is exactly that, to create a brighter future together for our customers, our partners, employees and the planet. It’s a promise that for our customers we will put their needs at the heart of everything we do, for our employees lets grow and develop together, for our partners - lets collaborate together, to create mutual value and for the planet lets drive positive impact by integrating our sustainability work into how we do business. 

Webinar Highlight

Will - Getting together - Getting social

To watch the full Gradcracker/Zurich webinar, click here.

What can I look forward to? 

Being on the Data and Analytics programme no two days will be the same.  You will have the opportunity to use data and the latest technology to solve business challenges and generate new opportunities for our business.  As well as learning new technical skills you will be working closely with stakeholders at all levels from across our business to deliver value for both them and our customers. 
The three-year programme consists of several rotations across Analytics and Data teams, where you will be supported by industry experts across Data Science, Data Engineering and Visualisation & Insights.  The programme will provide you with the fundamentals across data and analytics; from building new data pipelines, analysing data, presenting Insights back to business stakeholders and building machine learning models and artificial intelligence processes. 

There will be a combination of in house and external training, all tailored to your needs.  At the end of the programme, you will achieve a degree in Data Science. The degree programme is facilitated through either the University of Winchester or Avado.  The degree will consistent of a several modules including computer programming, statistics and machine learning, aimed at providing you will the core skills across the data and analytics disciplines. You will also learn from extremely talented and knowledgeable colleagues across the different rotations and be an integral part of the data and analytics graduate cohort. 

What you’ll need? 

  • A 2:1 degree (predicted or recently achieved) in any undergraduate discipline 
  • A least 112 UCAS points - (or equivalent) from 3 A-level subjects  
  • A* to C grade (9 to 4) in Maths and English GCSE 
  • A willingness to learn, be inquisitive and have a keen interest in data, analytics and technology. 

What’s in it for me? 

As well as joining a company that is passionate about sustainability and our customers, you can expect:  

  • £32,550 starting salary 
  • 1 day per week to studying towards the degree qualification 
  • Support from industry leading mentors 
  • 25 days' holiday plus an additional 3 volunteering days 
  • Full private medical cover 
  • 12% company pension contribution 
  • Annual company bonus 
  • Discounted gym membership, discounted gadget insurance 
  • Discounted technology offers 

In return you’ll be joining a business where creating a brighter, more sustainable future underpins all that we do here in Zurich.

We’re also passionate about diversity and inclusion, which we have won numerous awards for. We want our people to bring the whole of themselves to work and everybody is made to feel welcome, regardless of their background, beliefs or culture. 

Here, you’ll have every opportunity to use your drive and enthusiasm to innovate the future of Zurich where different opinions are valued, personal needs are respected, and opportunity is equal for all. So, make a difference. Be challenged. Be inspired. Be supported, Love what you do. Work for us. 

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Opportunity Overview

  • Deadline: October 30th, 2022
  • Starting: September 2023
  • Multiple vacancies
  • Starting Salary: £32,550 + benefits
  • 2:1 and above
  • Fareham (Portsmouth) (Hybrid)
    (Show map)

Preferred Disciplines...

  • Analytics
  • Computer Science
  • Data Science
  • Finance
  • Information Technology
  • Maths
  • Statistics

Also Accepting...

  • All STEM disciplines

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