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Specialist, Manufacturing - AI-Enabled Innovation

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Onsite

Specialist, Manufacturing - AI-Enabled Innovation

Careernet

Specialist, Manufacturing - AI-Enabled Innovation

Skills

SQL QueriesPythonData ScienceMicrosoft SQL ServerData AnalysisAIDigital Transformation

12 days ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

15 October 2026

What they need


Key Skills: Manufacturing, Python, Business Analysis, Data Science, Ms Sql, Data Validation

Roles and Responsibilities:

  • Translate manufacturing processes, operational constraints and business needs into clear functional and data requirements.
  • Support the deployment, transition, stabilization and adoption of manufacturing digital capabilities across sites.
  • Apply data science, Python and Microsoft SQL Server to analyze manufacturing data and support prototypes, MVPs and scalable solutions.
  • Partner with technical teams and manufacturing SMEs to evaluate solution feasibility, system impacts, dependencies and integration requirements.
  • Support innovation initiatives through intake, evaluation, MVP development, pilot, validation and scale phases.

Skills Required:

  • 8 - 13 years of professional experience, preferably including at least 4 years in biopharmaceutical manufacturing, manufacturing systems or related technical roles.
  • Strong business analysis experience, including requirements elicitation, process analysis and translation of manufacturing needs into functional requirements.
  • Practical data science experience using Python and Microsoft SQL Server for manufacturing data analysis and solution development.
  • Deep understanding of manufacturing processes, manufacturing systems or digital manufacturing environments.
  • Experience supporting system implementations, data-enabled solutions, validation activities or digital transformation initiatives in regulated manufacturing environments.

Good to Have:

  • Experience with data validation, GxP controls, data integrity principles or regulated systems validation.

Education: Bachelor's, Master's or Doctorate degree in any discipline; backgrounds in Data Science, Biotechnology, Biosciences, Bioengineering, Biomedical Signal Processing, Instrumentation, Communication Engineering or related fields are relevant.

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