Job Description

This is an internship position of Experian North America R&D Data Labs concentrating on research and development of novel analytical solutions, new product prototyping, as well as new data asset evaluation and acquisition.  You will have opportunity to work on projects in conversational AI, identity, fraud detection, marketing, consumer and commercial credit, DeFi, and healthcare. This position requires extensive background and knowledge in machine learning and data science.  A successful candidate should also have previous experience in developing deep-learning algorithms and/or deep learning based analytic solutions using large datasets.  Experience in the areas of natural language understanding, deep graph neural network, reinforcement learning, symbolic AI, online marketing, healthcare is a plus.

KEY JOB FUNCTIONS INCLUDE:

·   Analyzing, processing, evaluating and documenting large data sets

·   Identify/develop appropriate machine learning/deep learning/natural language understanding/natural language processing techniques to uncover the value of the data

·   Designing data structure and data storage schemes for efficient data manipulation and information retrieval

·   Developing tools for data processing and information retrieval

·   Developing data driven models to quantify the value of a given data set

·   Applying, modifying and inventing algorithms to solve challenging business problems

·   Validating score performance

·   Conducting ROI and benefit analysis

·   Documenting and presenting model process and model performance

Qualifications

·   Advanced degree in Math, Machine Learning, Data Science, AI, Computer Science, Computer Engineering, Electrical Engineering, Physics, Statistics, Applied Math or other quantitative fields

·   Demonstrated ability to lead and execute projects from start to finish

·   Ability to independently support existing products

·   Proven track record in modifying and applying advanced algorithms to address practical problems

·   Proficient in more than one of Python, R, Java, C++, or C

·   Experience with open source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, scikit-learn, pandas, etc.

·   Proven ability to work independently on development of complex models with extremely large and complex data structures

·   Robust knowledge and experience with statistical methods

Additional Information

Our benefits include: Medical, life and dental insurance, Asociacion Solidarista, International Share Save Plan, Flex Work/Work from home, Paid time off, Annual Performance Bonus, Education Reimbursement, Family Bonding, Bereavement Leave, Referral Program, and more.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Our goal is to create a thriving, inclusive and diverse team where people love their work and love working together. We believe that diversity, equity and inclusion is essential to our purpose of creating a better tomorrow. We value the uniqueness of every individual and want you to bring your whole, authentic self to work. For us, this is The Power of YOU and it ensures that we live what we believe.

EXPERIAN U.S. EMPLOYEES ARE REQUIRED TO PASS A BACKGROUND CHECK, INCLUDING DRUG SCREEN, AND BE FULLY VACCINATED FOR COVID-19.