Join Accenture Strategy & Consulting as a Data Science Analyst within the Global Network – Data & AI team, focusing on the Resources practice. This role is based in Bangalore, Gurgaon, or Mumbai. Accenture is a leading global professional services company dedicated to digital, cloud, and security solutions. With a presence in over 120 countries, we empower clients across more than 40 industries through strategy, technology, and operations services, driven by innovation and a vast network of advanced technology centers. We leverage the power of change to deliver shared success for our clients, people, and communities.

In this role, you will conduct in-depth analysis of diverse datasets using advanced statistical techniques and data mining. Your work will focus on identifying crucial patterns, correlations, and trends to drive performance and efficiency enhancements. You'll contribute to architecting, designing, building, deploying, and monitoring sophisticated analytics models for client-specific challenges. This involves writing efficient code to resolve complex issues and applying strong business acumen and analytical skills to extract actionable insights from databases.

We are seeking individuals with a Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Computer Engineering, or a related field. A minimum of two years of experience in data-driven techniques, including exploratory data analysis, data pre-processing, and applying machine learning to solve business problems, is required. Proficiency in programming languages such as Python, PySpark, SQL, or Scala is essential. A solid understanding of Statistical Modeling, Machine Learning algorithms, and Experimental Design is necessary. Experience with building interactive dashboards using visualization tools like Tableau and Power BI, along with hands-on experience with Azure, AWS, or Databricks, is highly valued. Relevant certifications in Azure Data Services or cloud data engineering are a plus. Strong analytical and problem-solving abilities are key, as is a good grasp of Gen AI, LLMs, Vector databases, and Langchain frameworks. Knowledge of database/data warehouse/data modeling is considered beneficial.