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INCO Group

Data – Automatisation & IA Intern - Investissement à impact

Data EngineeringUpdated on Nov 14
InternshipParis, FranceNo salary listedIn-person

About the Job

Requirements

  • Ability to understand business needs, propose solutions, and contribute to their implementation.
  • Ability to work autonomously across investment, impact, middle-office, and compliance teams.
  • Curiosity, pragmatism, and motivation to build solutions.

Responsibilities

  • Map existing Airtable databases and their uses, understand data flows between teams, and identify redundancies, friction points, and opportunities for improvement.
  • Participate in designing the target data model and, where appropriate, progressively migrating the data foundation to Supabase.
  • Structure financial, impact, and ESG data; define data-access and governance rules; and document models, processes, and good practices.
  • Design and deploy no-code and low-code workflows, primarily using n8n and the APIs of the company's tools, to automate recurring processes and improve data quality.
  • Help automate investee data collection and reminders, reporting consolidation, consistency checks, document management, regulatory deliverables, investment-opportunity qualification and enrichment, and information flows between tools.
  • Identify valuable AI use cases and work on internal assistants connected to databases, document search and knowledge management, automatic information extraction from reports, questionnaires and due-diligence documents, preliminary investment-file analysis, and assisted generation of reports, investment memos and meeting minutes.
  • Experiment with and compare available AI solutions, propose ideas, and explore use cases related to investment, impact, and compliance.
  • Contribute to creating management-team, investor, and portfolio-company portals, including portfolio tracking and reporting, portfolio indicators, secure regulatory-information sharing, data collection, and document sharing.
  • Understand user needs, identify use cases, train teams on deployed tools, produce practical documentation, promote data and AI good practices, and monitor new tools and market trends.
  • Contribute to defining the company's future data and AI roadmap.

Desired Qualifications

  • Prior experience implementing a tool, automation, or AI use case; applicants are also invited to describe one they would like to explore.

About the Company

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