S&C Global Network – AI – Resources – Data Science Consultant Full-time

Entity: – Accenture Strategy & Consulting

Team: – Global Network – Data & AI

Practice: – Resources/ Utilities

Title: – Ind & Func AI Decision Science Consultant

Job Location: Bangalore/Gurgaon/Mumbai

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.

What you would do in this role

The ideal candidate shall be,

• Help the team in 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.
• Ability to consume data from multiple sources and present relevant information in a crisp and digestible manner that delivers valuable insights.
• Strong communication and presentation skills to effectively convey complex data insights and recommendations to clients and stakeholders.

Who we are looking for?

Qualifications and Experience:

• Bachelor’s/Master’s degree in Mathematics, Statistics, Economics , Computer Science, or related field
• 5+ year(s) experience in data-driven techniques including exploratory data analysis and data pre-processing, machine learning to solve business problems.
• Proficiency in programming languages such as Python, PySpark, SQL, or Scala.
• Solid foundation of Statistical Modeling, Machine Learning algorithms and Experimental design.
• Excellent data visualization skills in PowerBI/Tableau to be able to present insights that drive business impact.
• Experience in Utilities, Energy, Chemical, Metals and Mining experience is preferred.
• In-depth knowledge and hands-on experience with Azure, AWS or Databricks tools. Relevant certifications in Azure Data Services or cloud data engineering are highly desirable.
• Implement MLOps practices to streamline the machine learning lifecycle, including model versioning, deployment, and monitoring.
• Strong analytical and problem-solving skills, with the ability to analyze complex data requirements and propose innovative solutions.
• Experience of working with database/data warehouse/data modeling/ETL pipeline.
• Candidates should have a strong understanding of Gen AI, LLMs, Vector database and Lang chain frameworks.

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

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