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Accenture

Advises businesses and runs their technology

Consultant - Multiple Teams

Data ScienceConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 3 years of work experience in Data Driven Merchandizing, including Pricing, Promotions, or Assortment Optimization capabilities across retail clients.
  • At least 3 years of work experience in consulting or analytics with a reputed organization.
  • A master's degree in Statistics, Econometrics, or Economics; or a B.Tech/M.Tech, master's/M.Tech in Computer Science, or M.Phil/Ph.D in Statistics/Econometrics or a related field from a reputed college.
  • Knowledge of SQL, R, Python, and at least one cloud-based technology such as Azure, AWS, or GCP.
  • Knowledge of building price/discount elasticity models and conducting non-linear optimization.
  • Knowledge of state-space and mixed-effect modeling techniques, optimization algorithms, and their applicability to industry data.
  • Experience migrating AI capabilities from one cloud platform to another and managing documentation of data models, architecture, and maintenance processes.
  • Understanding of econometric/statistical modeling and analysis techniques, including regression analysis, hypothesis testing, multivariate statistical analysis, time-series techniques, and optimization techniques, and statistical packages such as R, Python, SQL, and PySpark.
  • Proficiency in Excel, Microsoft Word, and PowerPoint.
  • Strong client communication.
  • Knowledge of price/discount elasticity estimation.
  • Proficiency in statistical time-series models, store clustering algorithms, and descriptive analytics to support merchandising AI capability.
  • Hands-on experience in state-space modeling and mixed-effect regression.
  • Awareness of common design patterns for scalable machine-learning architectures and tools for deploying and maintaining machine-learning models in production.
  • Knowledge of cloud platforms and their use for pipelining, deploying, and scaling elasticity models.
  • Working knowledge of price/promotion optimization.
  • Ability to think analytically and use a systematic, logical approach to analyze data, problems, and situations, and notice discrepancies and inconsistencies in information and materials.
  • Basic task-management knowledge and experience, including planning own tasks, discussing and working on priorities, and tracking and reporting progress.

Responsibilities

  • Define data requirements for the Data Driven Merchandizing capability.
  • Clean, aggregate, analyze, and interpret data, and conduct data-quality analysis.
  • Develop AI/ML models using the Azure ML technology stack.
  • Develop and manage data pipelines.
  • Develop and manage data within different layers of the Snowflake environment.
  • Work through project phases and understand how tasks relate to the overall project and a business-performance-improvement initiative.
  • Work with the team and consultant/manager.
  • Create insights presentations and client-ready decks.
  • Mentor and guide junior resources.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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