Accenture Applied Intelligence is the worlds largest team in applying data science, machine 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.
- 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
These are the minimum requirements for an aspirant to be considered for the position applying to:
- Minimum of 2 years in Healthcare and/or Life Science industry
- Minimum of 3 years of experience in advanced modeling environment strong understanding of statistical concepts and predictive modeling. e.g., AI neural networks, multi scalar dimensional models, logistic regression techniques, machine-based learning, etc.
- Minimum of 3 years leveraging and synthesizing large volumes and variety of data enhancing the businesses understanding of individual population segments, propensities, outcomes, and decision points
- Minimum of 3 years designing, implementing, and evaluating advanced statistical models and approaches for application in the businesses most complex issues
- Minimum of 3 years building econometric and statistical models for various problems inclusive of projections, classification, clustering, pattern analysis, sampling, simulations
- Minimum of 2 years working and conceptual knowledge in data structures, algorithms, statistics, machine learning, natural language processing and programming in Python, R, Scala, Julia, SAS, or other equivalent languages/tools
- Minimum of 2 years in data mining and predictive modeling inclusive of linear and non-linear regression, logistic regression, and time series analysis models
- Ability to travel up to 100%
- Bachelor's Degree in any related field of study data science, mathematics, economics, statistics, engineering or information management
- Demonstrated ability for designing and implementing successful data analysis solutions within a business Payer industry experience
- Strong knowledge of data mining techniques and an ability to apply these techniques in practical real-world business issues
- SQL and scripting languages such as Python and Perl as well as familiarity with statistical analysis, data visualization, and data cleansing tools and techniques
- Proven ability to work independently as well as with a team.
- Good communication skills, both written and oral.
- Proven ability to build, manage and foster a team-oriented environment
- Proven ability to work creatively and analytically in a problem-solving environment
- Excellent communication (written and oral) and interpersonal skills
- Excellent leadership and management skills
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.
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