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Hexaware Technologies

Analytics Data science and IOT Lead

Sorry, this job was removed at 12:08 p.m. (IST) on Thursday, Apr 09, 2026
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Hiring Remotely in India
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Hiring Remotely in India

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Job Location:
  • First preference: Bangalore
  • Open to Multicity if Bangalore is not available
Required Experience:
  • 5 or more years of experience in Python, big data analytics, or AI/Generative AI development projects
Responsibilities:
  • Lead development to identify and integrate new datasets to enhance product capabilities.
  • Collaborate with engineering teams to develop data products.
  • Develop custom Python libraries, Spark, or equivalent for data processing.
  • Build data ingestion, curation, and validation pipelines for AI model fine-tuning.
  • Perform data modeling, processing, and categorization.
  • Execute analytical experiments to solve business problems.
  • Identify relevant data sources and mine large structured and unstructured datasets for client needs.
  • Analyze data for trends and patterns, interpreting data with clear objectives.
  • Implement analytical models into production by collaborating with software developers and machine-learning engineers.
  • Stay current with technical and industry developments.
The Role Offers:
  • Opportunity to work on advanced AI and Generative AI applications.
  • Exposure to big data analytics and diverse programming environments.
  • Collaborative and dynamic research-focused work environment.
Essential Skills:
  • Strong proficiency in Python and AI-based Python libraries.
  • Hands-on experience in AI/Generative AI development projects.
  • Expertise in pattern recognition and predictive modeling.
  • Experience with data mining, mathematics, and statistical analysis.
  • Competency with Excel, PowerPoint, Power BI or other reporting tools.
  • Programming knowledge including Java, Python, SAS.
  • Ability to work effectively in dynamic, research-oriented teams.
Good to have Skills:
  • Experience or knowledge in:
    • Altoros
    • Bluemix
    • Data Science tools e.g., PySpark, Python, R, SAS E-Miner, SPSS
    • Ethereum
    • GoLang
    • Hyperledger
    • IBM Watson
    • Keras
    • SAS
    • TensorFlow
    • Waterfall methodology

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