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S&c Global Network - Ai - Resources - Assoc Director Data Science @ Accenture

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 S&c Global Network - Ai - Resources - Assoc Director Data Science

Job Description


Entity:- Accenture Strategy & Consulting Team:- Global Network Data & AI Practice:- Resources Title:- Data Science Associate Director
Job LocationBangalore/Gurgaon/Mumbai About S&C - Global Network:-Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. What you would do in this role The ideal candidate shall be,
  • Excellent communication and interpersonal skills, with the ability to effectively engage with clients and stakeholders at all levels

  • Strategic mindset, with the ability to drive business growth and identify new opportunities

  • Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for different client problems.

  • Interface with clients/account team to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements.

  • Take initiatives and collaborate with different Accenture internal teams and support driving sales.

  • Collaborate with different cross-functional teams, including technology, engineering, Strategy and account teams, to identify the new use cases.

  • Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development.

  • Manage and mentor high-performing team of data analysts to work on large scale datasets, cloud platforms, IoT, and other similar large datasets.

    • Qualifications     Who we are looking for?
    Qualifications and Experience
  • Bachelors/Masters degree in Mathematics, Statistics, Computer Science, Computer Engineering, or related field
  • 15+ year(s) experience as a Data Science with a focus on cloud services.
  • Solid foundation of Statistical Modeling, Machine Learning algorithms and Experimental design.
  • Expert knowledge of experimental test design and ability to inform business strategy based on statistical findings.
  • Experience in Utilities, Energy, Chemical and Natural Resources experience is preferred.
  • Understanding of programming languages such as Python, PySpark, SQL, or Scala.
  • Implement MLOps practices to streamline the machine learning lifecycle, including model versioning, deployment, and monitoring.
  • Solid understanding of data integration, data modeling, and data warehousing concepts.
  • Strong analytical and problem-solving skills, with the ability to analyze complex data requirements and propose innovative solutions.
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
  • Relevant certifications in Azure Data Services or cloud data engineering are highly desirable.

  • Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Data Science & Analytics,
    Role Category: Data Science & Machine Learning
    Role: Head - Data Science
    Employement Type: Full time

    Contact Details:

    Company: Accenture
    Location(s): Bengaluru

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    Keyskills:   data modeling statistical modeling data warehousing concepts machine learning algorithms data integration python scala pyspark data warehousing machine learning artificial intelligence sql data science chemical test design ml statistics

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