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Graduate Opportunity

Analyst

Computer Science/Data/Maths/Analytics/Physics.

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Who are Experian?

We are the world’s leading global information services company. During life’s big moments – from buying a home or a car, to sending a child to college, to growing a business by connecting with new customers – we empower consumers and our clients to manage their data with confidence.

"The world's your oyster with training at Experian"

Find out how Shamas, Service Operations Graduate, came to do an apprenticeship in project management alongside his graduate scheme. To watch the full Gradcracker/Experian webinar, click here.

We help individuals to take financial control and access financial services, businesses to make smarter decisions and thrive, lenders to lend more responsibly, and organisations to prevent identity fraud and crime.

We have 20,000 people operating across 44 countries and every day we’re investing in new technologies, talented people, and innovation to help all our clients maximise every opportunity. We are listed on the London Stock Exchange (EXPN) and are a constituent of the FTSE 100 Index.

Job Description

Joining our team as a Graduate Analyst, you'll be responsible (under guidance), for data analysis and model development to address a range of business problems.

As you progress, you will learn about Experian Identity and Fraud data. You will learn either new programming skills or how to improve your existing programming skills in commonly used industry wide languages such as Python and WPS/SAS in order to identify and extract critical insight.

You will also develop analytical modelling skills through the application of machine learning techniques.

This is a hybrid role based out of our Nottingham office with a requirement to travel into the office 2 days per week.

Qualifications

The successful graduate will have an inquisitive mind with a keen interest in learning, making a difference and supporting a team. Machine learning and programming experience would be an advantage and the ability to work with complex information and simplify this in documentation is also crucial.

  • A Bachelor’s degree with a high mathematical content (e.g. Computer Science, Data Science, Mathematics, Statistics, Operations Research (O.R.), Economics, Physical Sciences, Engineering), ideally of 2:1 or above
  • Knowledge of relevant statistical packages and programming tools (for example, SAS, Python, SQL, Spark) 
  • Ability to communicate clearly in written reports and presenting technical work
  • An inquisitive mind, focused on addressing and solving data and analysis problems
  • Good personal planning and time management
  • Basic knowledge of machine learning (desirable)

Our approach to flexible working

We care about work that works, whether that’s about where you work or adjusting your hours to fit better with your life. Our flexible working practices, including our hybrid working model where you can split your working time between the office and your home, support our belief that this balance brings long-lasting benefits for our business as well as ensuring that our people can balance successful careers with their commitments and interests outside of work.

So that you can love where you work, please discuss what works for you with your recruiter during the hiring process.

Accepting you, for you.

We want you to feel accepted for who you are and to feel safe, valued and to help us build a culture of true belonging. Experian is proud to be an equal opportunity employer and we take affirmative action to create a more inclusive and equitable world of work.

We are committed to equal employment opportunities regardless of age, disability, gender identity, marital status, race, ethnicity, faith or belief, sexual orientation, socioeconomic background, Veteran status or whether you’re pregnant or on family leave.

Why choose us?

Our colleagues’ health and wellbeing are a top priority for us, that’s why our reward, benefits and wellbeing programmes are designed so you can come to work feeling your very best self.

Our benefits focus on health, money, and lifestyle so you can tailor your benefits to your own personal needs. Whether it’s your physical and mental wellness, getting to work or preparing for the next big milestone in your life, we have a range of flexible options to have you covered!

We've signed the Gradcracker feedback pledge.

(This means that we will supply feedback if requested after an interview.)

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Opportunity Overview

  • Deadline: Ongoing
  • Multiple vacancies
  • Competitive salary + benefits
  • 2:1 and above
  • Nottingham/Remote
    (Show map)

Preferred Disciplines...

  • Analytics
  • Computer Science
  • Data Science
  • Maths
  • Physics
  • Statistics

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