S&C Global Network - AI - Resources - Data Science Analyst

Accenture in India; Gurugram District; On-site; INR 900,000 - 1,800,000; Full time

Job summary

Accenture in India is seeking a Data Science Analyst to deliver cutting‑edge analytics across utilities, oil & gas, mining, manufacturing, chemicals and forest products. The role focuses on GenAI, cloud analytics, and client delivery management with hands‑on data science expertise.

The incumbent will work on end‑to‑end data workflows, from data preprocessing to model deployment on cloud platforms (AWS/Azure/GCP) and will develop insights through PowerBI/Tableau for business outcomes.

Qualifications

• 1–5 years of data science experience.
• Bachelor's or master's in CS, statistics, applied math, or related field.
• Experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product preferred.

Responsibilities

• Perform advanced analytics with Python, SQL, PySpark using ML frameworks.
• Develop predictive models, recommender systems, and optimization solutions.
• Build and maintain ML pipelines and MLOps for training, retraining and deployment.
• Create dashboards and insights using PowerBI or Tableau.
• Present results to stakeholders to drive data‑driven decisions.

Skills

Gen AI/ML

SQL

Python

PySpark

ML Ops

Education

Bachelor's / Master's in CS/Statistics/Math

Related field

Tools

Azure

AWS

GCP

Databricks

PowerBI

Tableau

Job description

Job Title - Data Science Analyst S&C GN

Management Level : Analyst

Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai

Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops

Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product

Job Summary

We are seeking a highly skilled and motivated Data Science Analyst to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product. This role requires hands‑on technical expertise, and client delivery management skills to execute cutting‑edge projects in Generative AI, data science, and cloud‑based analytics.

Key Responsibilities

• 1.Data Science and Engineering
• Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks.
• Develop predictive models, recommendation systems, and optimization solutions tailored to business needs.
• Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data.
• Build MLOps pipelines for model training / retraining, monitoring, and scalability
• Dashboard and Reporting
• Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau.
• Present results and recommendations to stakeholders, leveraging data storytelling to drive decision‑making.
• Cloud Platform Expertise
• Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business‑critical projects.
• Leverage cloud‑native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale.
• Generative AI Expertise
• Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex
• Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production‑grade applications.
• Architect deployment solutions, including API development and seamless integration with existing systems.

Required Qualifications

• Experience: 1-5 years in data science
• Education: Bachelor's / master's degree in computer science, statistics, applied mathematics, or a related field.
• Industry Knowledge: Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product

Technical Skills

• Programming: Proficiency in Python, SQL and Pyspark.
• GenAI Expertise: Hands‑on experience in building GenAI based applications and solutions; Experience in deploying GenAI application in production.
• Cloud Platforms: Experience with Azure / AWS / GCP
• Visualization Tools: PowerBI / Tableau

Preferred Skills

• Strong analytical and problem‑solving skills with a results‑oriented mindset.
• Good communication and stakeholder management capabilities.
• Very good in generating business insights and presenting to stakeholders.

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