Data Science Executive

About the job

The Paari School of Business (PSB) is at an inflection point. We are pursuing AACSB accreditation — the most rigorous and globally recognised standard in business education — while simultaneously building the academic, operational, and technological infrastructure of a serious institution. The Dean, who brings a global and data-driven leadership style, is looking for a Data Science Executive to work directly from his office and serve as an intelligent partner in that process. This is not a back-room analytics role. You will be embedded in the Office of the Dean, working at the intersection of data science, AI operations, institutional strategy, and executive representation. Your work will directly inform decisions the Dean makes about how this school is built — and the tools and systems you create will serve as the model for AI adoption across the wider institution. The Dean's work style is global in orientation and American in its standards of professionalism — direct, well-prepared, and fast-moving. He expects the same from the people around him. If you are sharp, analytically serious, confident, and genuinely skilled with R and modern AI tools, this is an unusual opportunity to do work that matters from the very start of your career. W H A T Y O U W I L L D O Decision Support & Institutional Intelligence - Produce structured analyses supporting specific decisions: new programme viability, faculty hiring priorities, partnership evaluation, student intake strategy, fee benchmarking, and resource allocation. - Build a live institutional dashboard in R Shiny covering the metrics that matter most: enrolment trends, placement outcomes, research productivity, peer benchmarking, and financial indicators. - Conduct peer and competitor analysis — tracking how comparable schools in India and globally are performing, positioning, and differentiating themselves. - Monitor rankings methodologies — QS, THE, NIRF, Financial Times — and model how changes in specific inputs would affect the school's standing. - Frame analytical findings as concise, structured decision briefs: options clearly laid out, trade-offs identified, a recommended path offered. AI Integration — Across the Office and Across the School - Design and deploy AI-assisted workflows using Claude, GPT-4, Gemini, and other frontier tools — for research synthesis, drafting, summarisation, briefing preparation, and institutional knowledge management. - Build and maintain a structured knowledge base using Claude Projects — converting scattered institutional information into organised, searchable, and actionable intelligence. - Use Claude Code to accelerate the development of R scripts, Shiny applications, and automated workflows — this is the working mode we expect, not an occasional shortcut. - Document every AI system you build so it can be transferred, adapted, and scaled to other departments. The Dean's office is the prototype; the school is the destination. - Work with the Dean to develop a school-wide AI adoption roadmap — identifying which workflows in which departments are ready for integration, designing pilots, and supporting rollout. - Stay current on the frontier of AI tooling and advise the Dean on what is worth adopting, piloting, or watching. Research, Briefing & Strategic Communications - Produce concise, high-quality briefing documents ahead of every significant engagement — covering institutional context, individual backgrounds, relevant data, and suggested talking points. - Use AI tools to conduct rapid research on topics the Dean needs to engage with: policy developments, industry trends, visiting institution profiles, potential partners, and peer school strategies. - Draft and refine communications on behalf of the Dean — formal correspondence, board presentations, speech notes, responses to senior stakeholders, and reports for university leadership. - Prepare materials for external audiences who expect the highest standards: accreditation bodies, international academic partners, corporate advisory boards, and government agencies. Executive Representation & External Engagement - Represent the Dean's office in select external meetings, institutional events, and engagements with industry partners, visiting delegations, and international academics. - Attend engagements alongside the Dean, take structured notes, manage follow-up actions, and ensure commitments are tracked and honoured. - Coordinate with internal departments and external parties on projects originating in the Dean's office. - Handle all information relating to this office with absolute discretion. Access to a leadership office is a privilege; the standard of judgment expected reflects that. AACSB Accreditation Data & Compliance Analytics - Own the data architecture for the AACSB accreditation process — understanding what AACSB requires, building systems to collect and maintain it, and ensuring the institution's data is always accurate, current, and audit-ready. - Work with faculty, administration, and programme offices to gather, clean, and structure data on research output, faculty qualifications, student outcomes, curriculum standards, and learning assurance. - Build and maintain R Shiny dashboards that give the Dean and the accreditation committee a live view of where the school stands against AACSB standards, what gaps exist, and what actions are required. - Prepare data submissions, reports, and exhibits for AACSB review — accurate, clearly visualised, and framed to tell the strongest honest story about the school's progress. - Track changes in AACSB standards and flag implications for data collection and reporting practice. W H O W E A R E L O O K I N G F O R Education - A strong degree in a quantitative or analytically rigorous discipline: Statistics, Mathematics, Computer Science, Economics, Engineering, or Data Science. - Graduates from IITs, IIMs, BITS, and institutions of comparable standing in India are strongly encouraged to apply. We are equally open to graduates from other reputed universities (nationally and internationally). - International candidates willing to relocate are welcome. If your profile is compelling, salary and benefits will be internationally competitive. Experience - Fresh graduates and candidates with up to three years of experience are our primary audience. This role is designed for someone near the beginning of their career. - A portfolio carries more weight than a work history. Show us something real — an R Shiny app, a GitHub repository, an AI workflow you have built, a published analysis, or any evidence that you can do the work. - Relevant internship experience in data science, institutional research, analytics, or management consulting is valued but not required. Technical Skills — These Will Be Tested - Deep, working fluency with Claude.ai — not surface familiarity. Prompt engineering, use of Projects for knowledge management, API familiarity, and the critical judgment to evaluate Claude's outputs. - Practical experience with Claude Code for accelerating development: writing, debugging, and refactoring R and Shiny code, building scripts, automating workflows. A candidate who reaches for Claude Code naturally as part of their coding practice is the profile we are seeking. - Familiarity with Google Gemini and OpenAI GPT-4 as cross-checking and verification tools. The ability to triangulate outputs across models — knowing when to trust Claude and when to run a second opinion — is a practical skill we value. - Strong proficiency in R: data wrangling with tidyverse, statistical analysis, and publication-quality visualisation with ggplot2. R is the primary analytical language of this office. We value a functional programming style — thinking in pipes, purrr, and composable functions rather than loops and procedural scripts. - Ability to build interactive dashboards and data applications in R Shiny — layout design, reactive logic, and deploying applications that non-technical stakeholders can actually use. We want someone who can put a live institutional dashboard in front of the Dean within days of identifying a need, not weeks. - Comfort working with messy, incomplete, real-world institutional data — cleaning it, documenting assumptions, and presenting findings with appropriate honesty about data quality. - Experience with SQL, API integration, web scraping and any form of programmatic data collection is a strong advantage.

Requirements

• R
• AI tools
• Data analysis
• Statistical analysis
• Data visualization

Qualifications

• Statistics
• Mathematics
• Computer Science
• Economics
• Engineering
• Data Science

Preferred Technologies

• R
• AI tools
• Data analysis
• Statistical analysis
• Data visualization

About the company

SRM University, AP is focused on rigorous academic standards while pursuing AACSB accreditation. They emphasize global and data-driven leadership in business education.