Entity: - Accenture Strategy & Consulting
Team: - Global Network Data & AI
Practice: - Resources
Title: - Data Science Associate Director
Job Location: Bangalore/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.
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Who we are looking for
Qualifications and Experience:
- Bachelor's/Master's 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.
