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S&c Global Network - Ai - Resources - Data Science Consultant @ Accenture

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 S&c Global Network - Ai - Resources - Data Science Consultant

Job Description


Job Title - Data Science Consultant S&C GNManagement Level :ConsultantLocation:Bangalore / Gurugram / Mumbai / Hyderabad / ChennaiMust 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 ProductJob
Summary:We are seeking a highly skilled and motivated Data Science Consultant 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:4+ 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.

  • About Our Company | Accenture
    Qualifications
    Experience:4-8 years in data science
    Educational Qualification:
    Bachelors / masters degree in computer science, statistics, applied mathematics, or a related field.
  • Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Data Science & Analytics,
    Role Category: Data Science & Analytics - Other
    Role: Data Science & Analytics - Other
    Employement Type: Full time

    Contact Details:

    Company: Accenture
    Location(s): Bengaluru

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    Keyskills:   python microsoft azure pyspark sql ml advanced analytics algorithms mathematics data mining power bi artificial intelligence data bricks gen tableau ops oil data science gcp chemical manufacturing aws machine learning algorithms statistics

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