Company Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
Job Description
As a Data Engineer reporting to Vice President Global Data Intelligence you will be responsible for delivery of analytic data services to Experian clients, represent Experian analytic and data expertise during business development discussions, and direct the development of analytical products. Focus the analytical products and services will be based on both bureau data and alternative data and the successful deployment of those products and services.
What you’ll do:
- Collaborate in the planning, design, and testing of new attribute functionality, and enhancements.
- Analyze and confirm the integrity of source data to be evaluated. Perform mapping of data elements across countries.
- Develop scripting tools and scripting strategies for deploying code in languages such as Python, Spark or Scale to handle large data repositories based on technical specifications.
- Translate complex requirements into technical solutions. Perform data analysis and data modeling to create source to target mappings.
- Work hours will be flexible, but preferably 10:00 – 19:00, due as part of the team is in Argentina and USA.
Qualifications
What you’ll bring:
- 3 years minimum experience conducting data manipulation analytics and modeling.
- Analytical skills and modeling build experience both traditional regression methods and machine learning.
- Programming knowledge of Python, R or SAS, with Python being critical. Visualization and exploratory data analysis experience.
- Knowledge of consumer credit data or related financial services data. Know how to summarize data and perform exploratory data analysis to extract the behaviors that will then be turned into attributes.
- Excellent written and verbal English.
- Experience with BI Tools such as Tableau and Power BI will be considered as an advantage.
Additional Information
You will get:
- Personal Development – career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and books.
- Work environment – excellent work conditions with friendly environment, recognized strong team spirit, and fun and quality recreation time.
- Social benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many other benefits!
- Work-life balance – 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.
- Opportunity for Flexible working hours and Home Office.
Experian is an Equal opportunity employer. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
#LI-Hybrid
This is a hybrid remote/in-office role.
Experian Careers – Creating a better tomorrow together
