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Business Title: Associate, Data Scientist NLP & AIRequisition Number: 54523 - 31Function: AdvisoryArea of Interest:State: ILCity: ChicagoDescription:Innovate. Collaborate. Build. Create. Solve. The KPMG Digital Lighthouse is KPMG's award-winning Analytics & AI Center of Excellence recognized by clients and leading analyst firms in the US and globally. The KPMG Lighthouse is a curation of specialized technical capabilities and domain experts working across the digital landscape: applied data science, AI, data engineering and insights, software engineering, automation, and big data. Here, you'll work with a diverse team of professionals to explore and build solutions for clients in a multiplatform environment.You'll be an important part of our high-energy, unique, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. In this particular role, you'll work specifically in the AI Analytics & Engineering Community within the Digital Lighthouse, on a wide range of projects. From applied AI to optimization to big data platform engineering, your analytical and technical skills will drive real impact in the business world. At KPMG, our commitment to your career development helps to set us apart as an employer. We want to enhance your potential, both for yourself and as a contributor to our firm. That's why we provide every opportunity to expand your skills, knowledge and experiences through formal education and training programs, leadership development opportunities, and, as well as informal one-on-one coaching and mentoring from your KPMG colleagues.KPMG is currently seeking an Associate, Natural Language Processing (NLP) to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics.Responsibilities:Work in multi-disciplinary and cross-functional teams to translate business requirements into artificial intelligence goals and modeling approaches; rapidly iterate models and results to refine and validate approach while working across different areas (risk management, financial services, mergers and acquisitions, and public policy)
Work 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 data variety of unstructured data sources (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 to mitigate risks in data, modeling, validation, and delivery; Manage assumptions and risks, and work with others to clear issues
Refactor deploy and validate models; work with clients iteratively 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:Minimum of two years of prior experience working in teams of data & analytics professionals to deliver on business-driven analytics projects using natural language processing, machine learning on unstructured data, and/or information retrieval; Experience performing data science (data discovery, cleaning, model selection, validation, and deployment); Coding artificial intelligence methods; and restructuring, refactoring, and optimizing code for efficiency; Multidisciplinary backgrounds
Masters degree from an accredited college/university in Computer Science, Engineering, or related fields. PhD from an accredited college/university is preferred
Ability to apply artificial intelligence techniques to achieve concrete business goals; ability to work with the business to understand available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Provide assistance, and resolve problems, using solid problem-solving skills, verbal/written communication
Understanding of data preparation, machine learning, deep learning, natural language processing; ability to discuss mathematical formulations, alternatives, and impact on modeling approach; Understanding of development practices such as testing, code design, complexity, and code optimization
Fluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, Tensorflow); and experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly and work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Ability to work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)
Ability to travel up to eighty percent of the time; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future
KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.GL: 6GF: 15304
Vacancy expired!