Intern Data & Analytics Modeler - Summer 2020 New York City

KPMG is currently seeking an intern for our Lighthouse - Data & Analytics Modeler practice

Responsibilities:

•Assess, capture, and translate issues and requirements into structured analytics use cases, including rapid learning of industry/domain/client dynamics and development of effective work stream plans.

•Participate in a fast-paced and dynamic environment with both virtual and face-to-face interactions; utilize structured approaches to solving problems, managing risks, and documenting assumptions; communicate results and educate others through insightful visualizations, reports, and presentations.

•Contribute to the building of ingestion processes to prepare, extract, and enrich a variety of structured and unstructured data sources such as social media, news, internal and external documents, images, video, voice, emails, financial data, and operational data.

•Utilize a hypothesis-driven problem-solving approach to design, construct, and rapidly test/iterate exploratory models that will reveal insight and opportunities for the client while proactively broadening and deepening client relationships.

•Contribute to the successful execution of engagements or projects by following analytics processes in data preparation, modeling, validation, and delivery; manage assumptions, and risks, and work with others to clear issues.

Qualifications:

•Pursuing a degree from an accredited college or university in a technical, quantitative or applied quantitative field. Advanced degree preferred.

•Working knowledge of modeling process from data discovery, cleaning and model selection to validation and deployment, along with strong communication skills and the ability to explain technical concepts to business audiences, and explain business concepts to technical resources preferred.

•Ability to discuss pros and cons of modeling approaches; understanding of development practices such as testing, code design, complexity, and code optimization. Understanding of data preparation, machine learning, deep learning, natural language processing a plus.

•Exposure to modeling (regression, machine learning, feature selection, dimension reduction, validation), data (extracting, preparing, munging, validating), and building analytics pipelines preferred.

•Working knowledge of analytics tools and programming languages (such as SAS, R, Python, Java, Scala, Spark, Hadoop, Alteryx, SQL); working knowledge of data visualization tools (Tableau, QlikView, etc.) preferred.

•Ability to travel up to 80% of the time, depending on project assignments.

•Targeted graduation date Fall 2020 through Summer 2021.