Graduate Data Scientist (Glasgow)
Glasgow, United Kingdom
Experian
Experian is committed to helping you protect, understand, and improve your credit. Start with your free Experian credit report and FICO® score.Company Description
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. 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.
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.
Job Description
Experian is a global leader in Data and Analytics. We have access to award-winning solutions that support both businesses and consumers alike. Our Affordability products assist by blending bureau and open data sources to get the best view of an individual. By having a clearer view, businesses can then ensure they offer affordable products and services to their customers.
Based in our Glasgow office, you’ll begin your journey by learning about Data Annotation – The process of labelling data in the correct format. As your progress, you’ll then take on more responsibilities growing your career as a fully-fledged Data Scientist.
One day you could be reviewing bank account transaction data and turning this into valuable insights – the next you could delivering a proof of concept to a client on how our products could benefit them.
As a Graduate Data Scientist, you will learn how to:
- Develop and maintain data processes and models to support Experian’s Affordability data products. Things such as: CastScore, Income Insights and CaaS
- Create, review and maintain datasets for use in Experian data products
- Work with data science colleagues to peer review and constructively challenge work done in the team
- Work with clients to gather data requirements, execute proof of concept activities, and provide expertise to support the usage of Experian data products
This will be achieved by working with data science colleagues to understand existing models, datasets and processes. Your input is highly valuable, which is why we encourage you to proactively give feedback and offer thoughts and suggestions, on how to improve our products and services. You may have a bold new idea or a different take on an existing product that will help us improve it and provide great value to organisations and consumers.
We see Graduates as the future of our organisation meaning your potential will be celebrated and rewarded here at Experian.
If you choose to join us, you’ll receive industry training, wide-reaching career opportunities and a wealth of support through our Early Careers Network, buddy, line manager & mentor scheme. You’ll also join onto our 2-year structured Graduate Development Programme, which is packed with workshops, short-courses & online material designed to help kick-start your career.
Our concept is simple. We believe in expanding horizons – it’s what makes Experian a global leader and a Top UK Tech Employer.
Qualifications
You’ll have recently achieved or be on track to achieve a minimum 2:2 degree classification. 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) is encouraged.
Any knowledge of Python is valuable to this role as we utilise tools such as sklearn, panda, numpy, scipy, flask and jupyter notebooks to support with data manipulation.
It’s important you’re the type of character who isn’t going to give up when you hit a complex problem. Proactivity and curiosity will be your best friends in this role.
Additional Information
Application Closing Date: Sunday 22nd January 2023. We aim to respond to all applications no later than the week after the closing date.
Start Date: September 2023
For this role we aim to hold online Assessment Centres W/C 20th February 2023 (*Subject to change)
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 look forward to receiving your application.
Experian Careers - Creating a better tomorrow together
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Classification Computer Science Economics Engineering Flask Jupyter Mathematics NumPy Python R Research Scikit-learn SciPy Statistics
Perks/benefits: Career development Equity Flex hours Health care Wellness
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