Research Scientist skills · 37 job postings analysed
Research Scientist skills required in 2026
We analysed 37 research scientist job postings from 10 companies (India and international, August 2026 – September 2026). The most requested skill is Python, mentioned by 90% of hiring companies, followed by PyTorch, LLMs and Machine learning. Postings that state experience ask for a median of 3 years, and 10% are open to candidates with a year or less.
- 1. Python90% of companies
- 2. PyTorch70% of companies
- 3. LLMs60% of companies
- 4. Machine learning50% of companies
- 5. Reinforcement learning30% of companies
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From real job postings
Full research scientist skills breakdown
Share of hiring companies asking for each skill
- Python90%
- PyTorch70%
- LLMs60%
- Machine learning50%
- Reinforcement learning30%
- Synthetic data generation30%
- Agentic AI30%
- Deep learning30%
- Tool use30%
- Fsdp30%
- Deepspeed30%
- Technical writing20%
Soft skills mentioned
- Communication20%
Education mentioned
- Master's / MBA33%
- B.Tech / B.E.22%
- Bachelor's degree7%
Of postings that state an education requirement.
Median experience asked
3 yrs
10% open to 0–1 years
Work mode
89% office
Office 89% · Hybrid 0% · Remote 0%
Postings analysed
37
10 companies · India and international
Top Indian cities
Hyderabad
Delhi
Companies in this sample include turing, ServiceNow, Together AI, Eurofins, Dialpad, UiPath, Grab, Atlys.
Method: postings collected by the Resumaxx job catalog (August 2026 – September 2026). Skill shares count each company once, so one employer posting many similar jobs doesn't skew the list. Figures describe this sample, not the whole market.
Before you apply
How to tailor your research scientist resume
Usually required
Most companies that mention these list them as requirements. If you have them, make them easy to find.
- Python
- PyTorch
- LLMs
- Machine learning
- Reinforcement learning
Common differentiators
Frequently mentioned, often as a preference rather than a must.
- Synthetic data generation
- Agentic AI
- Deep learning
- Tool use
- Fsdp
Industries hiring in this sample: AI/ML, AI, AI Research, Bioanalytical, STEM, Travel.
What makes a data resume match
- Lead with the tools the posting names (SQL, Python, BI tool, cloud) and show each one in a real project.
- Tie every model or dashboard to a decision or metric it changed, not just its accuracy.
- Separate production work from coursework or Kaggle so seniority is clear.
How the match works
- 1. We read the job description and list its requirements, marking each as required or preferred.
- 2. We look for each requirement in your resume and quote the line that proves it.
- 3. A match only counts if the quote is really in your resume. Required skills count double.
Frequently asked questions
What skills do research scientist job descriptions ask for?
In the 37 postings we analysed, the most common were Python (90% of companies), PyTorch (70% of companies), LLMs (60% of companies), Machine learning (50% of companies), Reinforcement learning (30% of companies). Match these against the specific job description you are applying to, because each employer weights them differently.
How much experience do research scientist jobs require?
Postings that state a minimum ask for a median of 3 years. 10% accept a year or less, and 40% ask for five years or more (based on 20 postings that stated a number).
Are research scientist jobs remote or in office?
Of postings that specified it, 89% were office-based, 0% hybrid, and 0% remote.
How does the job description match score work?
We pull the requirements out of the job description you paste, mark each one as required or preferred, and look for evidence of it in your resume. Only quotes that actually appear in your resume count as a match. The score is weighted so required skills count twice as much as preferred ones.
Should I add every missing keyword to my resume?
No. Add a skill only if you have genuinely used it, and show it inside a bullet about real work rather than only in a skills list. Recruiters and screening tools both treat unsupported keywords as padding.