Data Scientist / Senior Data Scientist

Title: Data Scientist / Senior Data Scientist Location: Mumbai, India  Salary: Competitive Position: Full-time Application deadline: August 31, 2026 (applications may be reviewed as they are submitted) About the Role PxD is hiring a Data Scientist or Senior Data Scientist to contribute to our growing portfolio of data science and AI initiatives. This is a strong fit for someone technically capable of delivering high-impact work independently while collaborating closely with our research and technical teams. The role sits at the intersection of applied AI, data science, and research operations — contributing to specific projects while also strengthening PxD's broader technical capacity. We will hire at the Data Scientist or Senior Data Scientist level depending on the candidate's experience and demonstrated ability to work independently; responsibilities, scope, and seniority of ownership will scale accordingly. Senior Data Scientists are expected to lead projects end-to-end with minimal oversight and mentor junior team members; Data Scientists will work under closer guidance from senior technical staff while building toward that independence. Key Responsibilities AI & Data Science Execute AI and machine learning projects from problem framing through deployment, in consultation with senior technical staff and partners Build data pipelines, models, and analytical frameworks that support PxD's programs Identify opportunities to apply AI/ML tools to improve program delivery, targeting, and impact measurement Apply statistical methods, algorithms, data mining, and visualization techniques to analyze experimental and other large datasets Technical Collaboration Partner closely with program leads, country teams, and senior technical staff across PxD's portfolio Support quality assurance on data science outputs and help embed good practices in data management and responsible AI use Maintain clear documentation and contribute to shared technical resources Learning & Development Participate actively in a collaborative, learning-oriented technical environment Support capacity-building through peer collaboration, code review, and knowledge sharing Qualifications Required Degree in a quantitative field (computer science, statistics, economics, engineering, or related) or equivalent practical experience Proficiency in Python and/or R, with experience in at least one ML framework (e.g., scikit-learn, PyTorch, TensorFlow) Demonstrated experience independently leading data science or AI projects, ideally across multiple stages (from framing to deployment) Experience working with geospatial or remote sensing data (e.g., satellite imagery, GIS tools such as QGIS or ArcGIS) Experience working with complex, real-world (not just academic/clean) datasets Strong written and verbal communication skills, with the ability to explain technical work to non-technical colleagues Preferred Experience working with or within government departments or public-sector...