Due to the rising concerns and spread of COVID-19, we are taking precautions and putting the safety of our employees and candidates first. As a result, there may be some delays in our recruitment process.

 

As we practice social distancing, we will be conducting all interviews virtually. Further information and guidance on participating in virtual interviews is available to shortlisted candidates by request.

 

If you are offered a position with this, we will endeavour to accommodate remote-working until the COVID-19 restrictions are lifted.

 

The Recruitment team are currently working remotely but the phoneline is temporarily closed.

 

Thank you for your patience.

Search Vacancies

Graduate Data Scientist

Business Role Type
Graduate Opportunity Role
Business Support Departments
Business Analytics
Location
Cardiff
External Closing Date
05/07/2019

This vacancy has now expired, and is not accepting any new applications.

Please search for live opportunities or use the Register Interest facility to sign up for job alerts and/or leave your CV speculatively.

We are looking for an enthusiastic and numerically minded graduate to join our expanding Advanced Analytics team. As a Graduate Data Scientist, you will be fully supported with on the job training in machine learning and advanced analytics as well as dedicated research time to expand your knowledge and skills.  After an initial three-month training period you will have a chance to use cutting-edge techniques to solve real-life problems in a wide-ranging set of business areas, from product pricing and black-box insurance to marketing and operational analytics.

You will work in a collaborative environment alongside talented Data Scientists, where no one will ever say “No” to a good idea.

About You

We are looking for someone inquisitive and focussed, who is keen to make an impact using innovative analytical methods. You must have a keen interest in machine learning or statistics and be ready to expand your skills as the field progresses. You should be comfortable in a culture where decision making is evidence-based and reliant on rigorous evaluation.

You should be self-motivated and able to get things done, as well as be a good team player and be capable of delivering to agreed timelines in a fast-paced and changing environment.

Responsibilities

  • Development, evaluation and implementation of advanced statistical and machine learning models.
  • Creation of meaningful datasets for modelling and analysis from a vast quantity of data in multiple formats.
  • Remain up to date with trends and developments in technology and methods in the data science community and proactively research new skills and methods.

Desirable skills and experience

  • Minimum of a bachelor’s degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or another mathematical/technical field.
  • A keen interest in supervised learning techniques such as decision trees, GLMs, random forests or gradient boosted ensembles.
  • Experience using some data science tools such as R, Python, SparkML, SAS, etc.
  • Exceptional numerical ability and creative thinker / problem solver.
  • Excellent interpersonal skills with the ability to communicate with both technical and non-technical audiences
  • Motivated to work within a fast paced, dynamic team environment.

About Admiral

We're Wales’ only FTSE 100 company, with forward-thinking approaches and endless opportunities to test, learn and develop. Through innovation and organic growth, Admiral has evolved from a tiny startup into a multinational with a diverse product portfolio and a presence in eight countries.

There's a reason we've been named on the Sunday Times’ Best Companies to Work For 19 years in a row: Our culture, core values, and commitment to diversity has created an environment where people share ideas, make an impact, and feel valued. Our philosophy is simple yet effective: “People who like what they do, do it better”

Admiral people work hard to keep us at the top of the industry, and are rewarded for it — with competitive pay, great benefits, a share package based on company performance, a flexible work schedule, nearby fitness and health centres, and many other perks (read about our benefits)

Find out more about us!

 

At Admiral, we are proud to be a diverse business where we put our people and customers first. We understand that a good work life balance is important, and we want you to have an element of freedom to define a working lifestyle that supports this. We are happy to talk about flexible working. Please get in touch for more information.

 

 

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