An Analytics Data Modeler interprets data and transforms it into information to provide ways of improving a business based on business decisions. Factory analysts gather information from diverse sources and interpret patterns and trends. Once the data has been processed, the individual must be capable of reporting results with the highest possible quality and clarity to various business units. The candidate must be open to innovation and new trends. * Understand and examine different data sources, as well as platforms and algorithms * Develop and maintain statistical models oriented toward Credit Scoring, segmentation, and fraud prevention, meeting defined objectives in terms of quality, cost, and time. * Design reports of varying types tailored to business needs * Deliver proposals adapted to internal and/or external customer requirements, fulfilling expectations to achieve the highest level of satisfaction. * Execute already-standardized processes while also proposing new standards for the area overall. * Collaborate with internal and external users to identify data requirements and delivery mechanisms. About Experian Experian is a global data and technology company that drives opportunities for people and businesses worldwide. We help redefine lending practices, detect and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market—all by leveraging our unique combination of data, analytics, and software. We also assist millions of people in achieving their financial goals and help them save time and money. We operate across a variety of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many other industrial sectors. We invest in people and advanced new technologies to unlock the power of data. As an FTSE 100 company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters is in Dublin, Ireland. Learn more at experianplc.com. Experience and Skills * Education: Bachelor’s and postgraduate degrees in Statistics, Financial Engineering, Mathematics, Economics, or Systems Engineering. * Technical knowledge: Programming languages: Python (mandatory), Spark (mandatory), SQL (mandatory), R (recommended), and Pandas (recommended). * Intermediate English proficiency * • Time and priority management • Communication skills • Time and priority management • Goal setting and execution • Prior experience in Banking, Telecommunications, or IT preferred • Teamwork * More than 3 years of experience applying the technical requirements described above in Analytics and/or Business Intelligence roles. Additional Information Our uniqueness lies in celebrating what makes us different. Experian’s culture and people are key differentiators. We take our people agenda seriously and focus on what truly matters: DEI (Diversity, Equity & Inclusion), work-life balance, development, authenticity, engagement, collaboration, wellbeing, reward and recognition, volunteering—and the list goes on. Experian’s strong people-first focus has been recognized with awards including Great Place To Work™ in 24 countries, FORTUNE Best Companies to Work For, and Glassdoor Best Places to Work (globally rated 4.4 stars), to name just a few. Check out Experian Life on social media or our careers site to learn why. Experian is proud to be an equal opportunity employer and affirmative action company. Innovation is fundamental to Experian’s DNA and practices, and workforce diversity drives our success. Everyone can thrive at Experian and bring their full selves—regardless of gender, ethnicity, religion, color, sexual orientation, physical ability, or age. If you have a disability or special need requiring accommodations, please let us know as soon as possible. Experian Careers \- Creating a better tomorrow together