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Talent & Organization – Intelligence & Insights COE Data Scientist Consulting Manager (Organization Science)

Salary undisclosed
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Job Responsibilities:

Although no two days at Accenture are the same, as an Intelligence & Insights Org Science Consulting Manager in our Talent & Organization (T&O) practice, a typical day might include:

  • Conduct in-depth organizational assessments to identify areas for improvement

  • Analyze organizational data to derive actionable insights and strategies

  • Develop metrics and performance indicators to track progress and measure success.

  • Design framework for organizational concepts, statistically validated questionnaires and other forms of assessment

  • Processing, cleansing, and verifying the integrity of data used for analysis

  • Build out data mockups to test the prescriptive analytics hypothesis

  • Linking analytics results with Behavioral Science or Industrial and Organizational Psychology related concepts

  • Prepare comprehensive reports outlining findings, recommendations, and strategies

  • Collaborate with clients to design and implement effective change management or talent initiatives

  • Stay updated on industry trends/best practices and contribute to innovation, new product development or thought leadership in the people and organization analytics space


Key Qualifications

  • Bachelor’s, Master’s or PhD in Industrial and Organizational Psychology, Computational Science, Data Science, Statistics, Operational Research, or similar field.

  • Minimum of 4 years of experience in management consulting or organizational assessment roles with a strong grasp of behavioral science principles and experience in business data analysis and research related to statistical analysis

  • Demonstrated ability to analyze complex data sets and derive actionable insights that drive organizational change

  • Strong analytical skills and proficiency in statistical analysis tools such as Multivariate Statistics and can independently run simulations leveraging machine learning techniques such as Self Organizing Maps, Boosting Methods, Support vector machines Neural Network etc.

  • Strong presentation and communication skills, with the ability to engage and influence stakeholders at all levels

  • Ability to work independently and collaboratively as part of a team, managing multiple projects and deadlines effectively

  • Knowledge of current trends in organizational theory and best practices.

  • Proficiency in statistical analysis software and tools used for data interpretation and visualization tools: R-Programming/ Python language

  • Exposure to data engineering & hands-on experience with APIs & writing SQL query would be an added advantage