Job Description

Job# 00650823 - Applied Intelligence Studio Consultant
Come join Accenture and Innovate in a company with AI and data analytics in its DNA. Leverage our unparalleled scale, scope, investment and global footprint to solve clients’ business needs.  You’ll drive results accessing 750+ industrialized apps and solutions, 800+ analytics and 300+ AI patents/patents-pending, and the Applied Intelligence Platform (API) that combines cutting edge and advanced analytics and automated AI with an integrated suite of leading tools and technologies.
Accenture Applied Intelligence is the world’s largest team in applying data sciencemachine learning, and AI with deep industry experience to solve clients most sophisticated and difficult challenges. We are a team of experts in data science, data engineering, artificial intelligence and human ingenuity with industry knowledge that spans every industrialized area -- energy, health care, transportation, retail, social media, and more. By deploying AI responsibly and combining it with our deep industry and analytics expertise, we enable the digital transformation of organizations, extend human capabilities, and make intelligent products and services a reality. Follow @AccentureAI and visit accenture.com/appliedintelligence.  
 Role Description: Data Scientist
As a consultant working at the Accenture you will work on a team with diverse clients and industries delivering analytics solutions and help clients turn data into actionable insights that drive tangible outcomes, improve performance and help clients lead the market.  This position requires in-depth understanding and use of statistical and data analysis tools.
Key Responsibilities: 
  • Effectively utilize statistical, data mining, machine learning, and/or deep learning techniques in delivering data science insights
  • Work closely with internal Accenture teams and clients to understand challenges and create solutions
  • Provide thought leadership within projects and leading technologies
  • Stay abreast of technology trends in artificial intelligence
Basic Qualifications
  • Minimum 3 years of experience in data science and use of statistical methodologies
  • Minimum 3 years of experience capturing, assessing and making recommendations, including reviewing data for completeness and consistency, analyzing and interpreting data
  • Minimum 2 years of developing machine learning methods, including familiarity with techniques in clustering, regression, optimization, recommendation, neural networks, and other.
  • Strong quantitative and analytical skills with minimum 2 years of experience with data science tools, including Python, R, Scala, Julia, or SAS
  • Bachelor’s degree in data science and related disciplines as mathematics, statistics, computer science, physics, or related fields.  Master’s degree preferred.
  • Passionate, creative, and forward thinking
  • Drive to learn and master new technologies and techniques
  • Deadline-driven, organized and able to multi-task
  • Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions
  • Demonstrable knowledge in artificial intelligence, machine learning, data science, and other relevant technical domains
  • Possess a blend of advanced analytical capabilities and consulting expertise that will create value and insights for our clients
  • Ability to work across industries and with cross-functional organizations 
 
 
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. 
 
Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity 
 

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Qualifications

Basic Qualifications
  • Minimum 3 years of experience in data science and use of statistical methodologies
  • Minimum 3 years of experience capturing, assessing and making recommendations, including reviewing data for completeness and consistency, analyzing and interpreting data
  • Minimum 2 years of developing machine learning methods, including familiarity with techniques in clustering, regression, optimization, recommendation, neural networks, and other.
  • Strong quantitative and analytical skills with minimum 2 years of experience with data science tools, including Python, R, Scala, Julia, or SAS
  • Bachelor’s degree in data science and related disciplines as mathematics, statistics, computer science, physics, or related fields.  Master’s degree preferred.
  • Passionate, creative, and forward thinking
  • Drive to learn and master new technologies and techniques
  • Deadline-driven, organized and able to multi-task
  • Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions
  • Demonstrable knowledge in artificial intelligence, machine learning, data science, and other relevant technical domains
  • Possess a blend of advanced analytical capabilities and consulting expertise that will create value and insights for our clients
  • Ability to work across industries and with cross-functional organizations 
 

Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.

Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

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