Company Description
About Us
Experian is 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 have 20,000 people operating across 44 countries. By investing in our people, technology and innovation, we can help transform businesses, help communities prosper, enable more people to feel included in the financial opportunities that should be available to them, and help people to thrive. We’re looking for inspired employees that want to make an impact on people and business.
Today’s digital, data-fueled economy means many businesses are struggling to extract the right level of insight to empower their operations and decision-making strategies. At Experian, we are committed to find a solution whereby banks and other financial service providers could maximize data – specifically Open Banking data and transactional data sharing – to better inform decisions.
Job Description
We are currently looking for an Assistant Machine Learning Engineer to join the EMEA Analytics Product Development Team. The team is focused on rolling out and further enhancing Trusso, our cutting-edge ML based transaction categorization engine. If working on a truly global product that is likely to also impact you directly is something you have always wanted to do, drop us your CV and let us do the rest.
You’re probably wondering what you’ll be doing:
Oversee and facilitate the training of a range of Machine Learning modelsEvaluate the quality of the trained models, using existing and new measures which the Assistant Machine Learning Engineer will createProductionize newly developed ML models bringing them from an algorithm to a live, cloud-hosted solutionAutomate repetitive tasks and processes pushing leaving time for the truly challenging tasks and activitiesEnsure models’ performance is correctly monitored and evaluated addressing any identified issuesEnsure training data used meets internal standards and identify mitigation steps should those standards are not metAssist our Data Scientists with testing, coding and UXDocument parts of the modelling and testing processEnsure automatic deployment of signed-off models in the production environment is in placeInvestigate complex production issues, recreating problems and utilizing trace files & error diagnostics. Identify root cause and propose solutions
Qualifications
We look for you to bring:
University Degree in a quantitative subject as Mathematics, Statistics, Informatics, Economics, Physics or BusinessInterest to extract, transform, and analyze vast data pools and improve on the existing processGood knowledge of AWS will be considered as an advantageGood analytical skills, and desire to learnVery good command of English will be considered an advantage
Additional Information
We offer:
Personal Development – career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials & booksWork environment – excellent work conditions with friendly environment, recognized strong team spirit, and fun and quality recreation timeSocial benefit package – life insurance, food vouchers, additional health insurance, corporate discounts, Multisport card, and a Share options schemeWork-life balance – 25 days paid vacation and 3 additional paid days for participation in Social responsibility eventsOpportunity for Flexible working hours and Home Office
In order to stay safe and be responsible, we introduce a remote hiring process with online interviews for all candidates.
Why us?
No one makes sense of data like Experian. We are on a mission to deliver the full power of data, analytics and technology in ways that transform lives. As a team, we’re committed to working together. So, we work in an inclusive environment that welcomes people with lots of different perspectives. We put people first and care about work that works. We like to strike a balance between how much time we spend on work and how much we keep for ourselves. After all, we’ve all got commitments and interests outside the office. So, talk to us about how you’d best like to work with us. We’re flexible and interested in helping you to get the best out of working with us.
Experian Careers – Creating a better tomorrow together
Find out what its like to work for Experian by clicking here