Join Our Innovative Team as a Senior Data Scientist at Experian

At Experian, a global leader in information services, we empower consumers and clients to manage their data with confidence during pivotal moments in life. Whether it's buying a car, sending a child to college, or expanding a business, we're there to support decision-making and offer solutions. Our team of over 20,000 professionals across 44 countries is dedicated to leveraging technology and innovation to help businesses transform and communities thrive.

About the Role: Senior Data Scientist, Data Lab

We're excited to offer a career opportunity within our Data Lab, the research and innovation hub of Experian in Latin America, including Serasa Experian in Brazil. As a Senior Data Scientist, you'll play a pivotal role by using advanced programming, data analysis, and machine learning to solve complex business problems. You will be the technical lead for a team of data scientists and collaborate with engineering and business teams.

Key Responsibilities

• Develop and implement advanced data analyses and machine learning models for credit risk, insurance claims risks, and fraud detection.
• Efficiently manipulate large data volumes while ensuring data integrity and accuracy.
• Work closely with Data Engineering, Product, and Business teams to understand requirements and propose data-driven solutions.
• Continuously explore new data sources and analysis techniques to improve model accuracy.
• Present results and recommendations to stakeholders and executive teams.
• Stay updated with the latest trends in Data Science and related industries.
• Design data-driven product development roadmaps that align with business needs.
• Provide technical guidance to team members.

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, or related fields; advanced degree preferred.
• Experience in statistical modeling in credit and insurance sectors is a plus.
• Strong proficiency in Python, including data manipulation and machine learning frameworks like scikit-learn and TensorFlow.
• Experience with big data environments such as Hadoop (HDFS), distributed data processing (PySpark), and SQL.
• Proven ability to develop and deploy machine learning models, with knowledge in model validation, tuning, and monitoring.
• Effective problem-solving, communication, and team collaboration skills.
• Fluency in English is required.

What We Offer

Experian provides a transformational work environment with a global reach, offering extensive opportunities across various business and IT sectors. We care deeply for our employees' well-being, offering benefits like extended maternity and paternity leave, flexible working hours, profit-sharing programs, and a share-saving plan for all employees. Our office amenities include health and wellness services such as massages, physical therapy, psychologists, and a relaxation room to enhance work-life balance.

Diversity and Inclusion: At Experian, we are committed to creating a diverse and inclusive work environment. If your experience doesn't fully align with every qualification but you're passionate about this role, we encourage you to apply. We welcome diverse perspectives and are excited to hear from you.

Apply Now for a Better Tomorrow

Discover an unexpected world of opportunity at Experian. Apply today to become part of our future-focused team aiming to create a better tomorrow for all. Together, we can unlock the potential of data to improve lives.

Experian Careers - Creating a better tomorrow together. Explore more about us [here](https://www.experian.com/careers).