S&C Global Network - AI - Resources -Analyst

Accenture; Bengaluru, Gurugram District, Mumbai; On-site; INR 600,000 - 1,000,000; Full time

Job summary

Accenture is seeking a Data Science Analyst to join its Global Network team. In this role, you will conduct thorough analyses of datasets, utilizing statistical techniques and data mining to enhance performance and efficiency across various projects.

You will need to have a Bachelor's or Master's in a relevant field and at least 2 years of experience in data-driven methodologies. Proficiency in programming languages such as Python, SQL, and familiarity with tools like Tableau and Azure is essential for success in this position.

Qualifications

• 2+ years experience in data-driven techniques including exploratory data analysis and data pre-processing.
• Proficiency in programming languages such as Python, PySpark, SQL, or Scala.
• Experience in building interactive dashboards using visualization tools like Tableau & Power BI.

Responsibilities

• Conduct thorough analysis of different datasets using statistical techniques.
• Deploy and monitor advanced analytics models for client problems.
• Write effective code to solve complex issues with business insights.

Skills

Data-driven techniques

Exploratory data analysis

Machine learning

Programming languages (Python, PySpark, SQL, Scala)

Statistical modeling

Problem-solving skills

Working with databases

Education

Bachelor's/Master’s degree in Mathematics/Statistics/Computer Science

Tools

Tableau

Power BI

Azure

AWS

Databricks

Job description

About the Job

Entity: Accenture Strategy & Consulting
Team: Global Network – Data & AI
Practice: Resources
Title: Data Science Analyst
Job Location: Bangalore/Gurgaon/Mumbai

About Accenture

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com

What you would do in this role

• Conduct thorough analysis of different datasets, utilizing statistical techniques and data mining methods to uncover patterns, correlations, and trends that can be leveraged for performance and efficiency improvements.
• Help the team in architect, design, build, deploy, deliver, and monitor advanced analytics models for different client problems.
• Write effective coding to tackle complex issues, but also use your business sense and analytical abilities to glean valuable insights from different databases

Qualifications and Experience

• Bachelor's/Master’s degree in Mathematics, Statistics, Computer Science, Computer Engineering, or related field
• 2+ years 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.
• Experience in building interactive dashboards using visualization tools like Tableau & PowerBi.
• Hands‑on experience with Azure, AWS or Databricks tools. Relevant certifications in Azure Data Services or cloud data engineering are highly desirable.
• Strong analytical and problem‑solving skills, with the ability to analyze complex data requirements and propose innovative solutions.
• Knowledge of working with database/data warehouse/data modeling is valuable.

Candidates should have a strong understanding of Gen AI, LLMs, Vector database and Langchain 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.