329 Phd Intern 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.

• 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.

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider of choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.

By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.

Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years.

About the Role:

At Innodata, we’re working with the world’s largest technology companies on the next generation of generative AI and large language models (LLMs). We’re looking for smart, savvy, and curious subject matter experts.

We are seeking a Masters / PHD In Physics with exceptional writing and analytical skills to join our AI/ML data team. In this role, you will help train advanced Large Language Models (LLMs) by producing, curating, and reviewing high-quality educational and technical mathematics content. Your expertise will directly shape the way AI systems understand, explain, and reason about fundamental and advanced mathematical concepts.

Key Responsibilities:

Create high-quality, accurate, and pedagogically sound content in mathematics, including:

• Conceptual explanations
• Problem sets and solutions
• Theoretical summaries and derivations
• Research abstracts and technical writing

Collaborate with AI researchers and engineers to:

• Review and refine mathematics-related model outputs
• Identify and fill conceptual gaps in LLM training data
• Build datasets across various mathematics domains (e.g., Algebra, Calculus, Geometry, Linear Algebra, Probability, Statistics, Number Theory, Discrete Math, etc.)
• Provide feedback to improve LLM performance in reasoning, solving, and communicating mathematical content

Eligibility Criteria:

• Master's or PhD in Mathematics or a closely related discipline (MS with exceptional experience may be considered)
• Strong background in theoretical and/or applied mathematics
• Excellent technical and academic writing skills

As part of the project, you are required to complete the English language assessment.

*The assessment is mandatory & non-billable*

Job Description:

Remote contract for PhDs in Mathematics, Statistics, or related fields. Work on cutting-edge projects with top AI labs while earning $50+/hour, fully remote, with flexible weekly hours. No AI experience required

Role Overview:

Help fine-tune large language models (like ChatGPT) using your math and analytical skills. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks.

Responsibilities:

• Design advanced math problems to test AI performance (e.g., multi-step reasoning, abstraction, symbolic manipulation).
• Develop clear, step-by-step solutions with rigorous logic.
• Evaluate AI outputs for accuracy and quality of reasoning.
• Collaborate with researchers to refine benchmarks across undergraduate to PhD-level math topics.

Requirements:

• PhD (pursuing or completed) in Mathematics, Applied Math, Statistics, or related field.
• Strong mathematical reasoning and problem-solving skills across advanced domains.
• Ability to communicate complex ideas clearly in writing and provide structured feedback.
• No AI experience required

Perks:

• Fully remote, flexible work.
• Work on cutting-edge AI projects with leading LLM companies.

Offer Details:

• Pay rate: $50+/hour (depends on role and candidate expertise)
• Assessment: Shortlisted experts complete an evaluation before selection.
• Assignments: Contract roles with defined start/end dates; up to 40 hrs/week.

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Remote contract for PhDs in Biology, Biotechnology, Biochemistry , or related fields. Work on cutting-edge projects with top AI labs while earning up to $50+/hour, fully remote , with flexible weekly hours. No AI experience required

Role Overview:

Help fine-tune large language models (like ChatGPT) using your biology knowledge. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks.

Responsibilities:

• Design advanced biology questions to test AI performance.
• Develop clear, step-by-step solutions with rigorous logic.
• Evaluate AI outputs for accuracy and quality of reasoning.
• Collaborate with researchers to refine benchmarks across undergraduate to PhD-level biology topics.

Requirements:

• PhD (pursuing or completed) in Biology, Biotechnology, Biochemistry, or a related field.
• Strong biology reasoning and problem-solving skills across advanced domains.
• Ability to communicate complex ideas clearly in writing and provide structured feedback.
• No AI experience required

Perks:

Fully remote, flexible work.

Work on cutting-edge AI projects with leading LLM companies.

Offer Details:

• Pay rate: $50+/hour (depends on role and candidate expertise).
• Assessment: Shortlisted experts complete an evaluation before selection.
• Assignments: Contract roles with defined start/end dates; up to 40 hrs/week.

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Job Description:

Remote contract for PhDs in Mathematics, Statistics, or related fields. Work on cutting-edge projects with top AI labs while earning $50+/hour, fully remote, with flexible weekly hours. No AI experience required

Role Overview:

Help fine-tune large language models (like ChatGPT) using your math and analytical skills. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks.

Responsibilities:

• Design advanced math problems to test AI performance (e.g., multi-step reasoning, abstraction, symbolic manipulation).
• Develop clear, step-by-step solutions with rigorous logic.
• Evaluate AI outputs for accuracy and quality of reasoning.
• Collaborate with researchers to refine benchmarks across undergraduate to PhD-level math topics.

Requirements:

• PhD (pursuing or completed) in Mathematics, Applied Math, Statistics, or related field.
• Strong mathematical reasoning and problem-solving skills across advanced domains.
• Ability to communicate complex ideas clearly in writing and provide structured feedback.
• No AI experience required

Perks:

• Fully remote, flexible work.
• Work on cutting-edge AI projects with leading LLM companies.

Offer Details:

• Pay rate: $50+/hour (depends on role and candidate expertise)
• Assessment: Shortlisted experts complete an evaluation before selection.
• Assignments: Contract roles with defined start/end dates; up to 40 hrs/week.

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.