Accenture - Data Engineer - Generative AI (2-9 yrs)

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

Mandate : Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product , Supply chain, Inventory, Manufacturing.

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

- Job Qualifications

Job Qualifications

Experience: 1-5 years in data science

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