—
Join Agilent as a Data Science Intern to support Raman spectroscopy R&D with experiment design, analysis, and cross-disciplinary collaboration. Your Role Here’s what you will be doing: • Work within the multi-disciplinary R&D team at Harwell Scientific Campus focused on Raman Spectroscopy systems development • Design experiments, investigate, and analyze data to enhance Raman instrumentation performance • Communicate findings effectively to support product development decisions • Contribute to the development of award-winning Raman systems such as the Vaya Raw Material ID system About You The company is looking for: • Current university student enrolled in a relevant course, returning to the same course after the internship • No prior experience required; up to 2 years relevant experience acceptable • Strong record keeping, attention to detail, teamwork, and communication skills • Proficiency in data analysis using R, Python, Matlab, or similar tools • Desirable skills include data collection, analysis and visualization, presenting data findings, documenting research, knowledge of chemometric techniques, and experience with spectroscopy, especially Raman spectroscopy Benefits • Opportunity to work in an international, dynamic environment with exciting challenges • Full-time weekly schedule • Equal opportunity employer with inclusive hiring practices • Occasional travel required Training & Development • Gain experience in data analysis, mining, and chemometrics applied to spectroscopic instrumentation • Learn about optical systems from breadboard to final product • Develop skills in experimental design and root cause analysis • Work within an interdisciplinary team environment • Access to training and development opportunities to become an expert in the field Career Progression As part of Agilent, you will be positioned within a company that values advancing diagnostics and customer-focused solutions, supporting your growth to become a leader in your field. This job may close before the stated closing date, you are encouraged to apply as soon as possible Report this job
| Skill | Source | Confidence |
|---|---|---|
| Python | llm_hard |
100%
|
| R | llm_hard |
100%
|
| Skill | Source | Confidence |
|---|---|---|
| Teamwork | llm_soft |
100%
|
| Analytical Thinking | llm_soft |
100%
|
| Collaboration | llm_soft |
100%
|
| Attention to Detail | llm_soft |
100%
|
| Problem-Solving | llm_soft |
80%
|
| Documentation | llm_soft |
80%
|
| Presentation Skills | llm_soft |
80%
|
| Learning Agility | llm_soft |
80%
|
| Query | Country | Status | Response ms | Created |
|---|---|---|---|---|
| Data Scientist Internship | extracted | 4049 | 2026-03-22 03:20 | |
| Data Scientist Internship | classified | 486 | 2026-03-21 21:18 | |
| trainee data scientist in United Kingdom | gb | processed | 9210 | 2026-03-21 17:22 |
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"job_description": "Join Agilent as a Data Science Intern to support Raman spectroscopy R&D with experiment design, analysis, and cross-disciplinary collaboration.\n\nYour Role\n\nHere’s what you will be doing:\n• Work within the multi-disciplinary R&D team at Harwell Scientific Campus focused on Raman Spectroscopy systems development\n• Design experiments, investigate, and analyze data to enhance Raman instrumentation performance\n• Communicate findings effectively to support product development decisions\n• Contribute to the development of award-winning Raman systems such as the Vaya Raw Material ID system\n\nAbout You\n\nThe company is looking for:\n• Current university student enrolled in a relevant course, returning to the same course after the internship\n• No prior experience required; up to 2 years relevant experience acceptable\n• Strong record keeping, attention to detail, teamwork, and communication skills\n• Proficiency in data analysis using R, Python, Matlab, or similar tools\n• Desirable skills include data collection, analysis and visualization, presenting data findings, documenting research, knowledge of chemometric techniques, and experience with spectroscopy, especially Raman spectroscopy\n\nBenefits\n• Opportunity to work in an international, dynamic environment with exciting challenges\n• Full-time weekly schedule\n• Equal opportunity employer with inclusive hiring practices\n• Occasional travel required\n\nTraining & Development\n• Gain experience in data analysis, mining, and chemometrics applied to spectroscopic instrumentation\n• Learn about optical systems from breadboard to final product\n• Develop skills in experimental design and root cause analysis\n• Work within an interdisciplinary team environment\n• Access to training and development opportunities to become an expert in the field\n\nCareer Progression\n\nAs part of Agilent, you will be positioned within a company that values advancing diagnostics and customer-focused solutions, supporting your growth to become a leader in your field.\n\nThis job may close before the stated closing date, you are encouraged to apply as soon as possible\n\nReport this job",
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