Compelling Overview of Role:
Come join Accenture and innovate in a company with AI and data analytics in it’s DNA. Leverage our unparalleled scale, scope, investment and global footprint to solve clients business needs. Youll 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.
What is cool about this Group (Mega Growth Accelerator Specific)Accenture Applied Intelligence is theworlds largest teamin applyingdata science,machine learning, andAIwith 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@AccentureAIand visitaccenture.com/applied intelligence.
Role Responsibility (Specific to MGA Role)As a Data Scientist 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.
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
80% travel required
Minimum 3 years of experience in data science and use of statistical methodologies
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
Bachelors degree in data science and related disciplines as mathematics, statistics, computer science,physics, or related fields.Masters degree preferred
Passionate, creative, and forward thinking
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
We are a global collective of innovators applying the New every day to improve the way the world works and lives. Help us show the world whats possible as you partner with clients to unlock hidden value and deliver innovative solutions.Empowered with innovative tools, continuous learning and a global community of diverse talent and perspectives, we drive success in a new business architecture that disrupts conventional practices.Our expertise spans 40+ industries across 120+ countries and impacts millions of lives every day. We turn ideas into reality
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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