Data Science Intern

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

Our 2021 Summer Internship Program will be a remote experience this year (thanks COVID). But please be rest assured that we have plans in place to make sure you won’t miss a beat by not being in the office. You will be connected, supported, and have great opportunities to gain valuable experience in a fast-paced, innovative global company.

The Experian Summer Internship Program is a unique opportunity to apply your knowledge and experience in a fast-paced, innovative company, all while working with the latest technology and tools! Our Interns work 40 hours per week, in one of two start dates:

• Date 1 runs May 17 – July 23 
• Date 2 runs June 14 – August 20th

Are you…?

• Curious?
• Interested in researching new ideas and technologies?
• Looking for a great place to start your career?

The Experian DataLabs is a R&D unit at Experian, and they are looking for an intern. The team was formed with the desire to work in collaboration with Experian’s business units to enhance relationships with clients and acquire strategic datasets.

The Data Science Intern will be part of Experian North America R&D Data Lab concentrating on research and development of novel analytical solutions, new product prototyping, as well as new data asset evaluation and acquisition. This position requires extensive background and knowledge in machine learning and data mining. Previous experience in analyzing large datasets and developing data driven statistical models is desirable. Experience in text mining and online marketing is a plus.

• Analyzing, processing, evaluating, and documenting large data sets
• Identify/develop appropriate machine learning/data mining/text mining 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

Background

• Advanced degree in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Math, or other quantitative fields
• 0-3 years of working experience in analytics, data mining, and/or predictive modeling
• 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
• Experience with regression, Neural Network, SVM, and/or ensemble methods
• Proven ability to work independently on development of complex models with extremely large and complex data structures
• Proficient in more than one of Python, R, Java, C++, or C
• Robust knowledge and experience with statistical methods