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
- 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.
- 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.
- 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
