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CivicDataLab in Bhubaneswar, India is seeking Fellows to work at the intersection of data, technology, design and social science for public good. You will engage with government departments, conduct policy research, and translate complex ideas into accessible language for diverse stakeholders.
The role requires 1–2 years of relevant experience, strong communication skills, and willingness to perform fieldwork in a hybrid setting, including government meetings and stakeholder engagements.
Bhubaneswar, India | Posted on 09/07/2026
We work at the intersection of data, technology, design and social science to strengthen the data for public good ecosystem and citizen participation in governance. CivicDataLab (CDL) harnesses the potential of open knowledge movements to strengthen the data-for-public-good ecosystem and enable citizens to engage in matters of public reform. We work closely with governments, non-profits, think-tanks, media houses and universities to enhance their data and technology capacity to better data-driven decision-making at scale.
Our current areas of expertise include digital public goods & infrastructure (DPGs & DPI), climate action, public finance, urban development, open contracting and law & justice . We have co-created digital public goods like open data platforms, data exchanges, AI models and citizen-led apps for improving participatory data-driven governance in India and other countries.
Engage with government departments, public institutions, universities, civil society organisations and other stakeholders to initiate conversations and build long‑term institutional relationships.
Conduct stakeholder, policy and sectoral research, including stakeholder mapping, ecosystem assessments, field visits and analysis of relevant institutional and regulatory frameworks.
Prepare meeting notes, research briefs, presentations, concept notes, policy recommendations and other project documentation, translating complex technical, legal and policy concepts into accessible language.
Plan and facilitate workshops, consultations, roundtables and other stakeholder engagements.
Understand government priorities and challenges, and identify potential partnerships, datasets, use cases and opportunities for collaboration.
Coordinate with internal teams and external stakeholders to develop partnerships and support implementation through roadmaps, guidance materials, training resources and capacity‑building activities.
Contribute to CDL’s research, publications and knowledge products across thematic areas such as data governance, responsible AI, language technologies, climate resilience and digital public infrastructure.
Educational Background: Master's degree in Public Policy, Political Science, Development Studies, Economics, Social Sciences, Management, Technology or related disciplines.
Professional Experience: 1-2 years of experience in stakeholder engagement, public policy, research, consulting, development sector or related work.
Communication Skills: Strong verbal and written communication skills, with the ability to confidently engage and build relationships with government and other stakeholders.
Language Proficiency: Native or professional proficiency in the relevant state language(s) of the selected location.
Research Skills: Ability to understand new policy and sectoral areas, conduct research and synthesise information.
Availability: Willingness to work in a hybrid setting with regular field visits, government meetings and stakeholder engagements.
Experience working with government datasets, open data platforms or data repositories.
Familiarity with tools such as Excel/Google Sheets, data visualisation tools, or basic Python/SQL.
Familiarity with data, AI, digital public infrastructure or technology.
Prior experience working with state government departments or public institutions.
Experience in stakeholder consultations, community engagement or partnership development.
Knowledge of Indian language datasets, corpora, or linguistic resources
Familiarity with AI/ML concepts and their application in multilingual contexts