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