7,917 Research Position jobs in India

Position: Research Assistant (Enterprise AI & BFSI)

Location: India (Remote)

Employment Type: Full-Time

Schedule: Monday to Friday, Day Shift

Experience: 2+ years in Research, Data Analysis, or Market/Technical Research

Company Description

Scry AI is a research-led enterprise AI company that builds intelligent platforms for BFSI institutions to drive efficiency, insight, and compliance. Our solutions support complex workflows across finance, insurance, and operations by automating data extraction, analysis, and real-time intelligence delivery.

We are looking for a Research Assistant to support product, market, and technical research. You will help gather and analyze information, run structured evaluations, and produce concise briefs that inform product roadmaps, GTM strategy, and client solutions.

Role Overview

As a Research Assistant, you will execute end-to-end research tasks across literature reviews, competitive analysis, dataset preparation, and model evaluation support. You will work closely with product managers, data scientists, solution consultants, and marketing to convert raw findings into clear insights and decision-ready summaries.

Key Responsibilities

Research Planning and Execution

• Translate problem statements into research questions, hypotheses, and deliverables.
• Conduct literature reviews across academic papers, standards, and industry reports.
• Map competitors and adjacent solutions with feature matrices and benchmarks.

Data and Analysis

• Collect and clean data from trusted sources and public datasets.
• Run structured analyses in spreadsheets or Python or SQL to validate hypotheses.
• Assist in evaluation runs for models or prompts or extraction pipelines and summarize results.

Documentation and Communication

• Produce research briefs, one-pagers, and slide summaries with citations.
• Maintain research logs, assumptions, and references for auditability.
• Create visuals such as tables, simple charts, and process diagrams to explain findings.

Knowledge Management and Compliance

• Curate a searchable knowledge base of papers, links, and internal notes.
• Track source provenance, licensing, and usage restrictions.
• Follow privacy, security, and ethical guidelines for data handling.

Product and GTM Support

• Analyze user pain points, workflows, and industry regulations in BFSI.
• Support pricing and TCO or ROI models with assumptions and sensitivity checks.
• Prepare inputs for thought leadership, case studies, and collateral.

Required Qualifications and Skills

• 2+ years of experience in research, analytics, consulting, or a related role.
• Strong skills in secondary research, note-taking, and citation management.
• Proficiency with Excel or Google Sheets and comfort with pivot tables and basic formulas.
• Working knowledge of Python or SQL for basic data wrangling is a plus.
• Clear writing skills with the ability to produce concise, structured summaries.
• Familiarity with BFSI concepts or enterprise software ecosystems is a plus.

Tools familiarity

• Google Suite, Notion or Confluence, Airtable, Jira, and presentation tools.

Preferred

• Exposure to AI or data workflows such as information extraction, evaluation metrics, or prompt testing.
• Experience building competitor landscapes and VC funding maps.
• Basic visualization skills in matplotlib or spreadsheet charts.
• Understanding of compliance and risk themes relevant to BFSI.

Our Ideal Candidate

• Is detail-oriented, curious, and methodical in how they validate information.
• Converts ambiguous asks into a clear plan and timeline.
• Communicates insights simply and backs them with data and sources.
• Enjoys collaborating across product, data, and go-to-market teams.

Tip for candidates

If this role interests you, follow our page to stay updated on research and product analysis roles and opportunities to work on applied AI for high-impact BFSI use cases.

• Design and implement sophisticated data analysis methodologies.
• Develop and validate statistical models and machine learning algorithms.
• Perform data mining, pattern recognition, and predictive analytics.
• Clean, process, and transform large datasets.
• Create compelling data visualizations to communicate findings.
• Collaborate with research teams to define analytical objectives.
• Interpret research results and provide data-driven recommendations.
• Prepare technical reports and presentations for stakeholders.
• Stay abreast of the latest advancements in data science and statistical techniques.
• Mentor junior data analysts and contribute to knowledge sharing.

• Ph.D. or Master's degree in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience in data analysis and statistical modeling.
• Proficiency in programming languages like Python or R, and relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
• Experience with database querying (SQL) and data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of statistical principles, machine learning techniques, and experimental design.
• Excellent analytical, problem-solving, and critical thinking skills.
• Effective communication and presentation skills.
• Ability to work independently and collaboratively in a team environment.

• Design, conduct, and manage agricultural research experiments.
• Collect, clean, and analyze large datasets related to crop performance, soil health, and environmental factors.
• Utilize statistical software and modeling techniques to interpret research findings.
• Develop hypotheses, conduct literature reviews, and contribute to research proposals.
• Prepare detailed scientific reports, presentations, and publications.
• Collaborate with other researchers, agronomists, and field technicians.
• Stay current with advancements in agricultural science, technology, and best practices.
• Ensure adherence to research protocols, safety guidelines, and ethical standards.
• Contribute to the development of innovative solutions for crop improvement and sustainable farming.
• Assist in the supervision of junior research staff or interns as needed.

• Ph.D. or Master's degree in Agronomy, Crop Science, Agricultural Science, or a closely related field.
• Minimum of 3-5 years of research experience in agriculture.
• Strong background in experimental design and statistical analysis.
• Proficiency in statistical software (e.g., R, SAS, SPSS) and data analysis tools.
• Excellent written and verbal communication skills, with a track record of scientific publications.
• Ability to work independently and manage multiple research projects effectively.
• Experience with remote data analysis tools and collaboration platforms.
• Knowledge of sustainable agriculture practices and current agricultural challenges.

• Assist senior researchers in conducting literature reviews and summarizing relevant scientific publications.
• Gather, organize, and manage research data using various digital tools and databases.
• Perform data entry and preliminary data analysis under the guidance of the research team.
• Prepare research materials, including presentations, reports, and experimental protocols.
• Conduct online searches and gather information on specific research topics.
• Support the setup and execution of virtual experiments or simulations.
• Maintain detailed and accurate records of research activities and findings.
• Collaborate with team members through virtual platforms, contributing to discussions and project development.
• Assist in the preparation of research papers for publication or presentation.
• Learn and apply various research techniques and software tools relevant to the project.

• Currently pursuing or recently completed a Bachelor's or Master's degree in a relevant scientific field (e.g., Biology, Chemistry, Physics, Computer Science, Engineering, or related discipline).
• Strong academic record with a demonstrated interest in scientific research.
• Excellent written and verbal communication skills.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).
• Familiarity with scientific literature databases (e.g., PubMed, Scopus) is a plus.
• Basic understanding of data analysis principles and statistical software is advantageous.
• Ability to work independently, manage time effectively, and meet deadlines in a remote setting.
• Enthusiasm for learning and contributing to research projects.
• Access to a reliable internet connection and a suitable remote working environment.

• Assist in the design and execution of agronomic field experiments.
• Collect, record, and manage field data accurately, including soil samples, crop growth, pest incidence, and environmental conditions.
• Conduct laboratory analyses of soil, water, and plant tissues according to established protocols.
• Operate and maintain field equipment and laboratory instrumentation.
• Prepare detailed reports on experimental findings and research progress.
• Collaborate with research teams to analyze data and draw meaningful conclusions.
• Ensure compliance with all safety and ethical guidelines in research activities.
• Maintain accurate inventory of supplies and equipment for research projects.
• Assist in literature reviews and stay updated on current agricultural research trends.
• Contribute to the development of new research methodologies and protocols.

• Bachelor's degree in Agronomy, Agriculture Science, Plant Science, or a related field.
• Proven experience in conducting agricultural field research or laboratory analysis.
• Strong understanding of crop physiology, soil science, and pest management.
• Proficiency in data collection, statistical analysis, and relevant software (e.g., MS Excel, R, SPSS).
• Excellent observational skills and attention to detail.
• Ability to work effectively in both field and laboratory settings.
• Good written and verbal communication skills.
• Valid driver's license for field travel.
• Ability to work independently and collaboratively within a research team.
• Commitment to contributing to sustainable agricultural practices.

• Assist in designing and conducting research studies.
• Perform thorough literature reviews and synthesize relevant information.
• Collect data through various methods, including surveys, questionnaires, and interviews.
• Accurately enter and organize research data into databases.
• Support senior researchers in data analysis and interpretation.
• Maintain research records, documentation, and project files.
• Schedule and coordinate research participant activities.
• Prepare summaries of findings and assist in report writing.
• Ensure ethical research practices are followed.
• Provide administrative support for research activities.

• Bachelor's degree in a relevant field (e.g., Social Sciences, Humanities, Sciences).
• Strong academic record with a demonstrated interest in research.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).
• Excellent organizational and time-management skills.
• Strong written and verbal communication abilities.
• Ability to follow instructions precisely and work meticulously.
• Eagerness to learn and adapt to new research techniques.
• Prior research experience or coursework is an advantage.

• Assist in planning and executing research projects.
• Conduct comprehensive literature reviews.
• Collect and manage research data using various methods (surveys, interviews, experiments).
• Perform data analysis using statistical software.
• Prepare research reports, presentations, and manuscripts.
• Contribute to research proposals and grant applications.
• Maintain accurate research records and documentation.
• Collaborate with research team members on project tasks.
• Stay updated on relevant research methodologies and findings.

• Currently enrolled in a Master's or Doctoral program in a relevant field (e.g., Social Sciences, Life Sciences, Engineering, Business).
• Demonstrated interest and aptitude for research.
• Strong analytical and problem-solving skills.
• Proficiency in academic research methodologies.
• Familiarity with statistical analysis software (e.g., SPSS, R, Stata) is a plus.
• Excellent written and verbal communication skills.
• Strong organizational skills and attention to detail.
• Ability to work both independently and as part of a team.
• Experience with literature search databases and reference management software.

• Assist in conducting literature reviews on AI ethics, bias, fairness, transparency, and accountability.
• Collect and organize data from various sources, including academic papers, industry reports, and public discourse.
• Help in the qualitative and quantitative analysis of research data under the guidance of senior researchers.
• Contribute to the drafting of research reports, presentations, and publications.
• Participate in team meetings and discussions, offering insights and perspectives on ethical challenges in AI.
• Support the organization of workshops, seminars, and conferences related to AI ethics.
• Maintain accurate and organized research records and documentation.
• Assist in the development of survey instruments or interview protocols for ethical research.
• Stay updated on the latest developments and debates in the field of AI ethics and related technologies.
• Perform administrative tasks as needed to support the research team's objectives.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Philosophy, Ethics, Computer Science, Social Sciences, Law, or a related interdisciplinary field.
• Demonstrated interest in AI and its societal implications.
• Strong research and analytical skills, with attention to detail.
• Excellent written and verbal communication skills.
• Proficiency in using research databases and citation management tools.
• Ability to work independently and as part of a team.
• Familiarity with ethical theories and frameworks is a plus.
• Experience with data analysis software (e.g., SPSS, R, Python for data analysis) is advantageous.
• Proactive and eager to learn new concepts and methodologies.