SandC Global Network - AI - Resources - Data Science Analyst

Accenture in India; Gurugram District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Accenture is seeking a Data Science Analyst S&C GN to work across multiple locations including Bangalore, Gurugram, Mumbai, Hyderabad and Chennai. The role focuses on hands‑on data science, generative AI, and cloud‑based analytics with client delivery management.

You will build end‑to‑end workflows, develop ML models, create dashboards in PowerBI/Tableau, and deploy MLOps pipelines on cloud platforms.

Qualifications

• 1–5 years of experience in data science.
• Bachelor's or Master's degree in computer science, statistics, applied mathematics, or related field.
• Experience in utilities/oil & gas/mining/manufacturing/chemicals/forest product domains desired.

Responsibilities

• Perform advanced analytics using Python, SQL, PySpark with ML frameworks.
• Develop predictive models, recommendation systems, and optimization solutions.

Skills

GenAI

Python

SQL

Azure

AWS

MLOps

Education

Bachelor/Master in CS/Stats/Math

Tools

Databricks

PowerBI

Tableau

Job description

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:

• 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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