Sr. Associate, Machine Learning AI Consultant, Life Sciences
Description de l'offre
Sr. Associate, Machine Learning AI Consultant, Life Sciences
36311 - 7
Business Support Services
Area of Interest:
Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.
KPMG is currently seeking a Sr. Associate to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics to work with our Life Sciences team.
· Work in multi-disciplinary and cross-functional teams to translate business objectives into artificial intelligence approaches and objectives; capture business domains into knowledge bases, taxonomies, and ontologies 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 assumption while communicating results and educating 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 (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 manage and mitigate risks in data, modeling, validation, and delivery; 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
· Minimum of three years of experience leading work streams with two plus data scientists, engineers, and other data & analytics professionals, including innovation, quality management, utilizing analytics, software development processes, and modeling processes (data discovery, cleaning, model selection, validation, and deployment); Multidisciplinary backgrounds is preferred; Hands-on experience working with life science data (claims, EMR, clinical trials)
· Bachelor's, Master's, or PhD degree from an accredited college/university in a quantitative discipline, such as Computer Science, Engineering, or Mathematics, including one plus year of training specific to artificial intelligence
· 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 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 (NLTK, Spacy, Scikit-Learn, Tensorflow); and experience with platforms (Google Cloud, Azure, and AWS); 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. Theattached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
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À propos de KPMG SA
KPMG est un groupe d’audit, de conseil et d’expertise comptable dont Michael J.Andrew est le président depuis 2011. Le groupe est présent dans 156 pays à l’aide d’un réseau de cabinet indépendant, membre de KMPG International. KPMG est né en 1986 de la fusion entre deux grands groupes, Peat Marwick International (PMI) et Klynveld Main Goerdeler (KMG). En 2012, le groupe a réalisé un chiffre d’affaires en 2012 de 23,03 milliards de dollars et employait près de 152 000 personnes à travers le monde, il fait aujourd’hui parti des Big Four de l’audit.
KPMG France est présent dans 217 villes françaises et compte aujourd’hui près de 70 000 clients dans différents secteurs et dont font partie de grands groupes tels que EADS, Total ou encore EDF.