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Network Science
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Founded :
2020
Type :
Product
Size :
0-20
Stage :
Bootstrapped

About

NSOffice.AI is an enterprise AI productivity platform developed by Network Science, designed to serve mid-market and enterprise companies. It acts as a contextual intelligence layer that connects enterprise data, workflows, and systems, enabling employees to access and utilize information effectively from a single interface. The platform addresses challenges related to data access, context, and ungoverned AI, making company knowledge easily queryable and enhancing decision-making processes. The platform integrates with over 100 enterprise systems, including SAP, Salesforce, and Oracle, to unify internal data and external signals. It supports various business functions such as sales, marketing, HR, and finance, helping organizations reduce repetitive tasks and improve productivity. NSOffice.AI offers modules like THINK for AI access, KNOW for contextual search, and DO for execution and automation. The company is based in London and is an active private limited company, focusing on IT consultancy and software solutions.
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Jobs at Network Science

Network Science
at Network Science
Leena Shirsale
Posted by Leena Shirsale
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Mumbai, Navi Mumbai
5 - 8 yrs
₹20L - ₹25L / yr
ETL
Informatica
Data Warehouse (DWH)
Data engineering
skill iconData Science
+4 more
  • Collaborate with the business teams to understand the data environment in the organization; develop and lead the Data Scientists team to test and scale new algorithms through pilots and subsequent scaling up of the solutions
  • Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service
  • Act as the single point source for all data related queries; strong understanding of internal and external data sources; provide inputs in deciding data-schemas
  • Design, develop and maintain the framework for the analytics solutions pipeline
  • Provide inputs to the organization’s initiatives on data quality and help implement frameworks and tools for the various related initiatives
  • Work in cross-functional teams of software/machine learning engineers, data scientists, product managers, and others to build the AI ecosystem
  • Collaborate with the external organizations including vendors, where required, in respect of all data-related queries as well as implementation initiatives
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