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

Accenture; Gurugram District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Accenture is seeking a Data Science Analyst to drive Generative AI and data analytics across Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product sectors.

You will perform hands-on data science, build ML models, develop dashboards, and manage client delivery on cloud-based platforms such as Azure, AWS and GCP.

Qualifications

• 1-5 years in data science.
• Bachelor’s / 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, ML pipelines, feature engineering.
• Dashboard and Reporting: create dashboards in PowerBI/Tableau and communicate insights.
• Cloud Platform Expertise: design end-to-end workflows on AWS/Azure/GCP and use Databricks/ADF/Glue.

Skills

GenAI / ML

SQL

Python

Azure / AWS

ML Ops

Education

Bachelor’s / Master’s degree in CS/Statistics/Applied Mathematics

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

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 / 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.

About Our Company | Accenture

Visit us at www.accenture.com

Experience: 1-5 years in data science

Educational Qualification: Bachelor’s / master’s degree in computer science, statistics, applied mathematics, or a related field.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-create tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.