Job Openings at IDinsight

About the Social Media Intern 

• We are hiring a Social Media Intern to join our global Strategic Communications team. In this role, you will work directly with our Design and Digital Communications teammates to manage IDinsight's social media channels: LinkedIn, X, Facebook, and Instagram.
• We are looking for someone who treats social media as an editorial product: someone who thinks about what we publish, why a given platform is the right home for it, and how the content performs once it is out in the world. You will plan the calendar, draft the copy, design the visuals, run the analytics, and pitch the campaigns. Across all of it, you will be representing IDinsight's voice to a global audience of researchers, funders, policymakers, and practitioners.

Key Responsibilities

• Run and pitch campaigns: We currently run recurring campaigns which you will support, and have full liberty to pitch and run your own. 
• Analyze performance across platforms:
  Study how content is performing on each platform. Track follower growth, engagement, click-throughs, and the qualitative signals. Distill what is resonating, what is not, and what that means for the next month's plan. Flag platform trends, algorithm shifts, and emerging formats for the team.
• Plan the editorial calendar: Own the monthly social media calendar across all four platforms. Decide what runs where, when, and in what sequence, with an eye to upcoming events, publications, and broader campaigns. Coordinate with the comms team and project leads to develop and sustain our content pipeline.
• Create platform-native content: Draft captions and design visuals for our social media outputs. Each piece should be adapted to the platform it lives on, in length, tone, and format. You will work across LinkedIn carousels, short-form video, motion graphics, data visualizations, and static posts. Copy should be specific and facts-based. Visuals should sit cleanly within IDinsight's brand system.
• Repurpose long-form research into social-first content: A central part of this role is translating IDinsight's long-form work, including blogs, reports, policy briefs, podcast episodes, and webinar recordings, into multiple pieces of bite-sized social content tailored to each channel. You will identify the most compelling findings, quotes, and visuals from a given piece and build a multi-post rollout plan for social media. 
• Support event communications: Run pre and post-event social media content for IDinsight-hosted and IDinsight-attended convenings, webinars, conferences, and podcast launches. Build anticipation in the lead-up. Carry the conversation forward with live coverage where applicable and recap content once the event has wrapped.
• Manage community engagement:
  Monitor comments, mentions, and DMs across all four platforms. Flag conversations that need comms team’s attention, and proactively engage with content from partner organizations, peer institutions, and researchers in our orbit. 

Qualifications

• Demonstrated knowledge of major social media platforms including LinkedIn, X (Twitter), Facebook, and Instagram, with an understanding of each platform's audience, content formats, and best practices.
• Strong copywriting and creative storytelling instincts. 
• A keen visual eye, and comfort with design tools. Canva at minimum. (Figma, Adobe Suite, and video editing tools are a plus.)
• Working familiarity with Meta Business Suite, LinkedIn Analytics, X Analytics. 
• An analytical mindset. You should enjoy looking at numbers and pulling out the story they tell.
• Creativity and willingness to experiment with new formats and campaign ideas.
• Interest in the international development and social impact sector.
• Alignment with IDinsight's mission and values. 

Professional development

• Skill and career development are core to IDinsight's values and long-term impact strategy, and have been noted highlights of teammates’ experiences. IDinsighters receive significant mentorship from IDinsight leadership, support from talented peers, and are given considerable autonomy when ready. They maintain professional development plans and are given "stretch" opportunities designed to strengthen a variety of skills. Real-time feedback is embedded in our culture and formal structure enables maximum professional growth. Additionally, teammates have access to an annual professional development stipend that they are encouraged to utilize to explore their career interests and develop their skills.

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Responsibilities

The Junior Economist’s primary role will be coding in Stata and/or R, and ensuring the quality of research design, implementation and outputs. Depending on the projects, the Junior Economist may be responsible for any of the following activities:

• Evaluation design: Estimating required sample size for any monitoring and evaluation activity, coding for impact evaluation design (e.g. random assignment, matching), programming SurveyCTO questionnaires for digital data collection.
• Evaluation implementation: Coding to ensure high data quality, data management including data 
• Analysis: Conducting statistical analysis on datasets to produce results that inform recommendations and decisions.
• Data visualization: Presenting results for clients in easy to understand graphs, charts, tables, maps and other visualizations 
• Quality control: Reviewing code to ensure quality code written by others on the project team
• Publication: Preparing data for publication in IDinsight’s data repository. Also preparing manuscripts for the publication of reports and/or articles in academic journals
• Monitoring: Building dashboards and/or data visualization tools to track key performance indicators
• Working with culturally and geographically diverse project teams. Working with project teams that can be spread across the globe, from different nationalities and cultures.
• Supporting the technical professional development of staff. Providing individualized technical support for IDinsight Associates, and periodically leading scheduled and ad-hoc training of technical topics.

The Junior Economist will be expected to fulfill these responsibilities and others with professionalism and on strict deadlines. They will also be expected to propose, design and implement new initiatives for supporting project teams and increasing the technical rigor of IDinsight’s work.

Qualifications

• Deeply passionate about social, economic, and environmental policies and programs, and social impact.
• Undergraduate degree in economics, econometrics, statistics, or political science, public policy. Outstanding quantitative and critical thinking skills.
• Self-starter who will thrive in a start-up setting by taking ownership and initiative.
• Intellectual curiosity and sense of humor.
• 2+ years of relevant work experience preferred, including working on empirical evaluations and research.
• Significant experience with Stata or R required. Experience with additional programming languages is a plus.

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What You'll Do

• You will support AI transformations within IDinsight and for external clients. Your work could be 100% internal or 100% external at any given time. Your work will include:

Project & engagement delivery

• Own workstreams: Manage distinct components of advisory engagements (e.g., design of a no-code agent, or creation of a training module), ensuring high-quality execution and timely delivery.
• Produce high-quality deliverables: Draft clear, compelling presentations, memos, and technical documentation that translate complex AI concepts into actionable insights for non-technical audiences.
• Build and manage relationships: Support managers in building and managing trusted advisor relationships with internal and external clients.

Discovery & workflow diagnosis

• Diagnose pain points: Conduct user research, interviews, and shadowing sessions to uncover bottlenecks where AI can generate the highest return on investment.
• Map user journeys: Translate fuzzy organizational problems into clear, logical process maps to identify specific intervention points for automation or augmentation.
• Prioritize opportunities: Analyze potential use cases based on feasibility, risk, and impact, helping leadership decide what to build and what to skip.

Build & deploy AI solutions

• Configure agents: Build and refine tailored AI agents (e.g., CustomGPTs, Claude Projects, Gems) that solve specific user problems.
• Build automations: Design and implement low-code workflows (using tools like Zapier, Make, or n8n) to connect AI models with everyday tools (email, Slack, CRMs), moving beyond simple chat interfaces to real workflow integration.
• Curate knowledge: Structure and organize institutional data to ensure AI tools have high-quality context to draw from, ensuring outputs are accurate and relevant.

Drive adoption & change

• Facilitate workshops: Lead interactive sessions that guide teams through AI skills like context building, use-case identification, and workflow optimization.
• Design learning materials: Create accessible guides, videos, and cheat sheets accelerate value creation. 
• Support champions: Equip champions across teams with the resources and information they need to drive peer-to-peer learning.

Measure Impact & Ensure Governance

• Track success: Deploy learning and impact-focused measurement strategies to support continuous iteration and achieve impact goals. Run surveys, analyze data, and conduct interviews to determine if our tools are actually saving time and improving quality.
• Safeguard quality: Conduct testing and red-teaming of AI tools to identify risks, hallucinations, or biases before widespread deployment.
• Operationalize ethics: Help implement AI governance frameworks, ensuring that every deployment adheres to data privacy and ethical standards.

This role will be dynamic. Responsibilities are likely to change over time as we learn and our opportunities evolve. 

Qualifications

We're looking for a combination of consulting expertise, technical capability, product thinking, and entrepreneurial drive. We value demonstrated ability over traditional credentials.

• 2-6 years in consulting, product operations, or digital transformation: Track record of supporting complex projects and delivering high-quality results. 
• AI Power User: You are "AI native" in your work. You use LLMs daily to accelerate your output. You have a strong grasp of prompting strategies, context building, and the limitations (hallucinations, bias) of current models.
• Experience with hands-on AI implementation: Experience building and integrating no-code AI agents (e.g., CustomGPTs, Projects, Gems, etc.) and low-code automations (using tools like Zapier, Make, or n8n) that augment or automate workflows.
• Change Management: Experience supporting organizational change or technology adoption. Strong intuition that tools don't create impact unless people use them. Experience facilitating training, managing attitudes, or helping teams navigate new ways of working.
• Product Thinking: Experience conducting user research, translating fuzzy problems into clear solutions, defining problem statements, and validating assumptions through interviews and data. 
• Communication & facilitation: Strong writing and presentation-building skills. Ability to distill technical concepts for non-technical audiences. Experience facilitating workshops or training sessions.
• Analytical Rigor: Strong problem-solving skills with the ability to measure impact through data. Comfortable with advanced Excel/Google Sheets or SQL/R/Python. 

Bonus:

• Experience living and working in low-income country settings.
• Experience working within social sector organizations, especially nonprofits, research organizations, consulting organizations, or foundations. 
• Ability to collaborate with technical teams building AI solutions and agents.
• Knowledge of agile/lean methodologies and rapid experimentation frameworks.

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About the Role

• This role sits within IDinsight’s Data Science and Engineering team and is best suited for a hands-on, full-stack engineer who enjoys operating with a high degree of autonomy. You will work closely with data scientists, data engineers, domain experts, and partners to translate analytical and AI capabilities into impactful software products.
• Successful candidates are comfortable working through ambiguity, making pragmatic technical decisions, and owning the full lifecycle of features- from early problem framing and design to deployment and ongoing improvement in live environments. The work spans frontend, backend, and data integrations, with a strong emphasis on building tools that are intuitive, reliable, and loved by users.

As a full-stack engineer, the day-to-day work may include:

• Understand workflows, decision points, and constraints, and translate them into clear technical requirements to build web products used in social and policy contexts.
• Making thoughtful decisions about application architecture, data flows, integrations, and user-facing behavior to support scalable, production-grade products.
• Design and implement user-facing products such as dashboards, web platforms, and chat-based tools, working across frontend interfaces, backend services, and data integrations.
• Designing and implementing automated data ingestion pipelines that pull from databases, APIs, and external sources, and transform them into reliable, application-ready inputs.
• Integrate analytics or generative AI components into applications to support workflows such as information retrieval, agent-based decision-making, and automations.
• Ship tools to production, monitor usage and performance, debug issues, and refine both frontend and backend based on real-world feedback.
• Work closely with other engineers, product owners, and domain experts to review code, plan releases, and deliver features end-to-end.
• Write blog posts or present on lessons learned.
• Support teammates through formal and informal coaching and collaboration that enables continuous learning and improvement for the team.

Required Technical Qualifications

• Experience of at least 5+ years in software engineering especially web development, with proficiency in Python for building production systems
• Demonstrated ability to test, deploy, and operate user-facing products (such as dashboards, chatbots, or web applications) in production environments
• Strong background in designing and implementing backend services, including APIs, business logic, and data persistence using frameworks like NextJS or FastAPI
• Expertise in modern frontend frameworks (e.g., React or similar)
• Familiarity with cloud infrastructure and deployment workflows (e.g., AWS or GCP, Docker, CI/CD pipelines)
• Experience integrating external systems and APIs, especially foundational Large Language Models, into applications 
• Ability to work directly with clients to scope problem statements, define solution requirements, and deliver end-to-end solutions
• Clear written and verbal communication skills for collaborating with technical and non-technical stakeholders internally and externally

Other required qualifications:

• Proven ability to work independently on ambiguous problems that involve both people and technology
• Experience contributing to shared codebases, libraries, or platform components
• Strong oral and written communication skills in English. Fluency in languages spoken in countries where IDinsight works is a plus.
• Deeply passionate about evidence-informed policy, global development and improving lives in disadvantaged populations.
• Ability and interest in sharing knowledge, mentoring others, presenting work and reviewing the work of others.
• Open-minded self-starter who will thrive while tackling new, unusual and unpredictable challenges.

Preferred Qualifications

 The most competitive applicants will also have experience in one or more of the following:

• Experience living and working in developing country settings.
• Demonstrated ability to secure funding for technology-for-good initiatives, including grants, funded pilots, or innovation challenge awards.
• Experience with AI engineering and evaluations.
• Experience applying data science methods, such as optimization, unsupervised learning, LLMs, or working with specialized data types (e.g., GIS software like QGIS, satellite imagery).