Associate D&A Modeler - AI Platforms & NLP 2020 National

Responsibilities & Qualifications

KPMG is currently seeking an Associate for our Lighthouse - Data & Analytics Modeler AI Platforms and NLP practice.

While this requisition may state a specific geographic office, please note that our positions are location flexible between our major hubs. Opportunities may include, but are not limited to, Atlanta, Chicago, Dallas, Denver, New York City, Orange County, Philadelphia, Seattle, Washington DC. Please proceed with applying here, and let us know your location preference during interview phase if applicable.

Responsibilities:

• Work in multi-disciplinary and cross-functional KPMG client-facing teams to translate business objectives into artificial intelligence approaches and objectives; capture business domains into knowledge bases, taxonomies, and ontologies across areas such as risk management, financial services, mergers and acquisitions, and public policy.

• 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.

• Build ingestion processes to prepare, extract and annotate a rich variety of unstructured data sources such as social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data.

• Leverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/Deep Learning, Image Processing, Rules Engines, Knowledge Graphs, and Semantic Search.

• Deliver on engagement milestones by following analytics processes in data preparation, modeling, validation, and delivery; manage assumptions, and risks, and work with others to clear issues.

• Refactor, deploy and validate models; work with clients to validate performance metrics and sample output to drive towards a business-first solution; utilize APIs, platforms, containers, multi-threading, distributed processing to achieve throughput goals.

Qualifications:

• Bachelors, Masters, or PhD in a quantitative discipline such as Computer Science, Engineering, Mathematics or related field, along with 1 year of training specific to artificial intelligence, preferred; exposure to working in teams outside classroom settings to deliver on business-driven analytics projects.

• Solid understanding across the modeling process from data discovery, cleaning, model selection, validation, and deployment; multidisciplinary background preferred; ability to apply artificial intelligence techniques to achieve concrete business goals, and work with the business to understand available resources and constraints (around data sources, data integrity, data definitions, processing platforms and security); understanding of data preparation, machine learning, deep learning, natural language processing; ability to discuss pros and cons of modeling approaches; understanding of development practices such as testing, code design, complexity, and code optimization.

• Fluency in Python; proficiency in AI-related frameworks such as Pandas, NLTK, Spacy, Scikit-Learn, Tensorflow; and familiarity with platforms such as Google Cloud, Azure, and AWS; ability to work with a variety of databases such as SQL, ElasticSearch, Solr, Neo4j.

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

• Targeted graduation date Fall 2019 through Summer 2020

Work Authorization

Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.