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

Bengaluru Job No. r00254710 Full-time
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Please be informed that at any given point in time, you can only have one "Active" application.

Please be informed that at any given point in time, you can only have one "Active" application.

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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

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.

Please be informed that at any given point in time, you can only have one "Active" application.

Please be informed that at any given point in time, you can only have one "Active" application.

What people are saying about us

"Best Company to work with"

Current Employee - Software Test Engineer in Bangalore

 

Pros: best work place, flexible timing, work from home

Cons: Work life balance depends upon the project. Full Review

 

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