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

Accenture; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Accenture is seeking a Data Science Analyst to work on innovative projects across utilities and manufacturing sectors. The role emphasizes hands-on analytics, model development, and cloud-based data solutions. You will oversee GenAI initiatives, build end-to-end data pipelines, and deliver insights to clients.

The position involves data engineering, dashboarding, and deploying scalable ML models in a cloud environment, with emphasis on client delivery and collaboration across teams.

Qualifications

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

Responsibilities

• Data Science and Engineering: Build predictive models, design ML pipelines, and perform advanced analytics with Python, SQL, and PySpark.
• Dashboard and Reporting: Develop dashboards and insights in PowerBI or Tableau and present findings to stakeholders.
• Cloud Platform Expertise: Design end-to-end data science workflows on AWS, Azure, or GCP and use Databricks, ADF, Lambda, Glue, and AzureML.
• Generative AI Expertise: Lead GenAI-based applications, evaluate models with BLEU/ROUGE/FID, and deploy APIs for production use.

Skills

GenAI/ML

SQL

Python

ML Ops

Education

Bachelor's / masters degree

Tools

Azure

AWS

GCP

Databricks

PowerBI

Tableau

ADF

Lambda

Glue

AzureML

Job description

Job Title -Data Science Analyst SC 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

2.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.

3.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.

4.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 / masters 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.

About Our Company | Accenture

Qualification

Experience:1-5 years in data science
Educational Qualification:Bachelor''s / masters degree in computer science, statistics, applied mathematics, or a related field.