KPMG Summer Internship – Federal Data Scientist

Job Description:

In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you’re looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.

Job Responsibilities:

• Cluster large amount of user generated content and process data in large-scale environments using Amazon EC2, Storm, Hadoop and Spark
• Perform machine learning, natural language, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods
• Drive client engagements focused on Big Data and Advanced Business Analytics, in diverse domains such as product development, marketing research, public policy, optimization, and risk management; communicate results and educate others through reports and presentations
• Analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses

Job Requirements:

• Masters degree or PhD from an accredited college/university in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields, with a minimum of two years of relevant experience (strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint)
• Strong knowledge in at least one of the following fields: machine learning, data visualization, statistical modeling, data mining, or information retrieval
• Strong data extraction and processing, using MapReduce, Pig, and/or Hive preferred
• Five years of professional experience working as a Data Scientist; Experience with command-line scripting, data structures and algorithms and ability to work in a Linux environment, processing large amounts of data in a cloud environment

Job Details:

Company: KPMG

Vacancy Type:  Full Time

Job Location: London, England

Application Deadline: N/A

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