20 National Institute Of Technology Calicut jobs in Calicut

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.

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.

We are currently seeking a dedicated research volunteer to assist us in our ongoing study on the impact of rapid AI adoption on the future of work and social mobility across regions and communities.

• Conduct literature scans, prepare concise evidence memos, and analyze findings (basic quant/qual) and draft policy briefs & research notes.
• Help design surveys/interview guides; support data collection (remote); map sectoral use-cases (law, education, health, gig work, public services, etc.).
• Uphold research ethics (consent, privacy) and maintain tidy documentation.

• Background or interest in public policy, economics, sociology, law, education, AI & society.
• Strong writing and synthesis skills; comfort with Google Docs/Sheets.
• Bonus: R/Python or STATA; fieldwork experience; proficiency in an Indian language in addition to English.
• Curiosity about equity—perspectives from marginalized communities are valued.

• Certificate of Contribution (LoR possible based on output).
• Named credit; authorship on select outputs that meet contribution thresholds.
• Mentorship, weekly check-ins, and access to our research templates/toolkits.

At Abacus.AI , we are building advanced AI solutions that solve real-world business problems. Our optimization pipelines power critical customer operations, and we’re looking for data scientists who are passionate about turning complex challenges into elegant mathematical solutions.

Role Overview:

We are seeking a Data Scientist with strong expertise in operations research to design and implement large-scale optimization pipelines for customer use cases. This role combines technical depth in applied optimization with the ability to understand and collaborate with customers directly.

Responsibilities:

• Develop and deploy optimization models (LP, MIP, heuristics, constraint programming) for complex real-world problems.
• Build scalable optimization pipelines with Gurobi (or similar solvers) and Python.
• Work closely with customers to define problems, gather requirements, and deliver impactful solutions.
• Communicate findings and model outcomes clearly to both technical and non-technical stakeholders.
• Stay current with research in operations research and optimization methods.

Requirements:

• 3+ years of experience in optimization, operations research, or applied data science.
• Strong experience with Gurobi (preferred), CPLEX, or OR-Tools.
• Solid mathematical foundation in optimization and problem-solving.
• Excellent communication skills and the ability to interact with customers directly.
• Advanced degree (MS/PhD) in Operations Research, Industrial Eng, Applied Math, or related field.

At Abacus.AI , we are building advanced AI solutions that solve real-world business problems. Our optimization pipelines power critical customer operations, and we’re looking for data scientists who are passionate about turning complex challenges into elegant mathematical solutions.

Role Overview:

We are seeking a Data Scientist with strong expertise in operations research to design and implement large-scale optimization pipelines for customer use cases. This role combines technical depth in applied optimization with the ability to understand and collaborate with customers directly.

Responsibilities:

• Develop and deploy optimization models (LP, MIP, heuristics, constraint programming) for complex real-world problems.
• Build scalable optimization pipelines with Gurobi (or similar solvers) and Python.
• Work closely with customers to define problems, gather requirements, and deliver impactful solutions.
• Communicate findings and model outcomes clearly to both technical and non-technical stakeholders.
• Stay current with research in operations research and optimization methods.

Requirements:

• 3+ years of experience in optimization, operations research, or applied data science.
• Strong experience with Gurobi (preferred), CPLEX, or OR-Tools.
• Solid mathematical foundation in optimization and problem-solving.
• Excellent communication skills and the ability to interact with customers directly.
• Advanced degree (MS/PhD) in Operations Research, Industrial Eng, Applied Math, or related field.

At Abacus.AI, we are building advanced AI solutions that solve real-world business problems. Our optimization pipelines power critical customer operations, and we’re looking for data scientists who are passionate about turning complex challenges into elegant mathematical solutions.

Role Overview:

We are seeking a Data Scientist with strong expertise in operations research to design and implement large-scale optimization pipelines for customer use cases. This role combines technical depth in applied optimization with the ability to understand and collaborate with customers directly.

Responsibilities:

• Develop and deploy optimization models (LP, MIP, heuristics, constraint programming) for complex real-world problems.
• Build scalable optimization pipelines with Gurobi (or similar solvers) and Python.
• Work closely with customers to define problems, gather requirements, and deliver impactful solutions.
• Communicate findings and model outcomes clearly to both technical and non-technical stakeholders.
• Stay current with research in operations research and optimization methods.

Requirements:

• 3+ years of experience in optimization, operations research, or applied data science.
• Strong experience with Gurobi (preferred), CPLEX, or OR-Tools.
• Solid mathematical foundation in optimization and problem-solving.
• Excellent communication skills and the ability to interact with customers directly.
• Advanced degree (MS/PhD) in Operations Research, Industrial Eng, Applied Math, or related field.

At Abacus.AI, we are building advanced AI solutions that solve real-world business problems. Our optimization pipelines power critical customer operations, and we’re looking for data scientists who are passionate about turning complex challenges into elegant mathematical solutions.

Role Overview:

We are seeking a Data Scientist with strong expertise in operations research to design and implement large-scale optimization pipelines for customer use cases. This role combines technical depth in applied optimization with the ability to understand and collaborate with customers directly.

Responsibilities:

• Develop and deploy optimization models (LP, MIP, heuristics, constraint programming) for complex real-world problems.
• Build scalable optimization pipelines with Gurobi (or similar solvers) and Python.
• Work closely with customers to define problems, gather requirements, and deliver impactful solutions.
• Communicate findings and model outcomes clearly to both technical and non-technical stakeholders.
• Stay current with research in operations research and optimization methods.

Requirements:

• 3+ years of experience in optimization, operations research, or applied data science.
• Strong experience with Gurobi (preferred), CPLEX, or OR-Tools.
• Solid mathematical foundation in optimization and problem-solving.
• Excellent communication skills and the ability to interact with customers directly.
• Advanced degree (MS/PhD) in Operations Research, Industrial Eng, Applied Math, or related field.