Brazil
2 months ago

Job Overview

Job Type
Full Time
Pay
Not disclosed

Job description

Location:
Brazil
Work arrangement:
On-site

Role Summary

We have an opportunity in Analytics in the Data Intelligence team, this area being responsible for analyzing and structuring data and developing new features. If you like studying and are always willing to seek new knowledge, this could be the place for you. We work with different types of information and are always looking for new sources of data. As this is an area focused on development, it is extremely important that you are able to innovate and propose new solutions. For this, having knowledge in the credit, collection or insurance area is a big advantage. Among its main day-to-day activities, we can highlight:

  • Study of new data sources;
  • Structuring bases;
  • Construction of variables based on Feature Learning;
  • Evaluation of performance and adherence of features in scoring models;
  • Creation of new solutions for all market segments using statistical techniques;

We are looking for a professional who has knowledge in data manipulation, statistical modeling and Big Data. It is necessary to have completed higher education in the exact field and have knowledge of programming in Python.

As a personal profile, it is important that you are analytical, have the ability to adapt, be proactive, have initiative and love new challenges.

It is important for this position that the candidate has knowledge of the credit ecosystem for Legal Entities (PJ), comprising the main types of credit, such as working capital, anticipation of receivables, discounting of bills, financing and other financial products aimed at companies. It is also desirable to be familiar with concepts related to corporate structure, tax regimes and company financial indicators, as this knowledge will be essential for the development of analytical solutions and new features aimed at the corporate market.

Requirements

  • Python
  • Statistical Modeling
  • Data Manipulation
  • Pyspark
  • Feature Learning
  • Big Data

Serasa Experian is much more than you imagine. With the purpose of creating a better future, expanding opportunities for people and companies, in Brazil we have more than 4 thousand people who work in different teams and specialties. Here, each knowledge and diversity complements each other and you can work on what you love most. We are committed to building an inclusive culture and an environment in which people can balance their careers with their personal commitments and interests, valuing well-being.

We are very dedicated to being one of the best and most innovative companies to work for in the country, enabling incredible experiences and careers for our people. Our strong people-first approach is recognized externally through several market certifications: we were awarded by Great Place To Work™ in 24 countries and by the international Top Employers certification, in addition to being recognized as one of the best companies for young professionals and having a 4.6 rating on Glassdoor. Each recognition shows us that we are on the right path, providing an increasingly better working environment for our talents.

  • Experian Careers - Creating a better tomorrow together
  • Find out what its like to work for Experian by clicking here

Experian is a global data and technology company that drives opportunities for people and businesses around the world. We operate in several markets, such as financial services, health, automotive, agribusiness, insurance, among others. Experian invests in people and advanced new technologies to unlock the power of data. We have an incredible team of 25,200 employees in 32 countries.

Our uniqueness is to value yours. Experian’s people-centered, inclusive and purpose-driven culture is recognized by numerous awards — including World’s Best Workplaces™ 2025 (Fortune’s Global Top 25) and Great Place To Work™ in 26 countries, among others. Check out Experian Life on social media or explore our careers site to see why. Experian is also proud to be an equal opportunity and affirmative action employer.

Role:
Data Science Specialist - Home
Job Type:
Full Time

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