11 Accenture Data Science Analyst Jobs

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:Bachelors / 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.

Qualifications

Experience:1-5 years in data science


Educational Qualification:Bachelors / masters degree in computer science, statistics, applied mathematics, or a related field.