At a Glance
- Tasks: Join our R&D team to develop innovative Raman Spectroscopy systems and analyse data.
- Company: Agilent, a leader in life sciences and diagnostics, committed to improving quality of life.
- Benefits: Gain hands-on experience, training, and work in a dynamic international environment.
- Why this job: Make a real impact in science while developing your skills in data analysis and teamwork.
- Qualifications: Currently studying a relevant course; no prior experience needed but familiarity with R/Python is a plus.
- Other info: Exciting challenges await in a supportive, interdisciplinary team focused on innovation.
The predicted salary is between 500 - 1500 £ per month.
Agilent encourages and supports discoveries that advance the quality of life. We provide life science, diagnostic, and applied market laboratories worldwide with instruments, services, consumables, applications, and expertise. Agilent enables customers to gain the answers and insights they seek -- so they can do what they do best: improve the world around us.
We are currently looking for a Data Science Intern to join our Raman spectroscopy R&D team for a 12-month placement. In this Data Science Intern position, you'll be embedded in the multi-disciplinary R&D team based at the Harwell Scientific Campus, which is focused on developing world-beating Raman Spectroscopy systems such as the Vaya Raw Material ID system which won an R&D 100 award and demonstrates our patented SORS technology.
This role requires a mix of experiment design, investigation, and analysis skills to aid in the development of our Raman instrumentation and enhance the performance and results for the end user. Being able to effectively communicate findings is key to contributing to the multi-disciplinary product development to provide insights and aid decisions during the development process.
Qualifications
- As this is an Intern position, you need to be studying a course in an applicable field at University and will be returning to that same course upon completion of the internship.
- No prior experience required; may have up to 2 years of relevant experience.
- Excellent record keeping, attention to detail, teamwork and communication skills.
- Analysis using R/Python/Matlab or similar.
- Any of the following skills would also be desirable:
- Experience in data collection, analysis & visualisation.
- Experience presenting data findings to a varied audience of different skills.
- Documenting research and informing application/product design decisions.
- Knowledge of chemometric techniques.
- Knowledge/experience with spectroscopy, in particular Raman spectroscopy.
What we offer you:
An opportunity to work in an international and dynamic working place with exciting challenges and opportunities. As a data science intern, expect to gain experience and development in:
- Data analysis, mining and chemometrics and its application to spectroscopic instrumentation.
- Knowledge and experience of working with optical systems from breadboard to final product.
- Experimental design and root cause analysis.
- Working in an interdisciplinary team.
As a part of Agilent, you will become part of a company that works according to these values:
- We move diagnostics forward.
- We care about the needs of our customers and strive to ensure people are treated consistently, fairly and with respect.
- We deliver effective diagnostic solutions valued by our customers.
We will make sure you get all the training and development opportunities you need to become the best in your field.
Additional Details
- This job has a full-time weekly schedule.
- Agilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.
- Travel Required: Occasional.
- Shift: Day.
- Duration: 9-12 Months.
- Job Function: General.
Data Scientist Internship in Harwell employer: Agilent Technologies
Contact Detail:
Agilent Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist Internship in Harwell
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Agilent on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills. Be ready to discuss how you’ve used R, Python, or Matlab in your projects. We want to see your passion for data science shine through!
✨Tip Number 3
Showcase your communication skills! Practice explaining complex data findings in simple terms. Remember, we’re looking for someone who can share insights with a diverse team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the Agilent family.
We think you need these skills to ace Data Scientist Internship in Harwell
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist Internship role. Highlight any relevant coursework, projects, or skills that align with the job description, especially those related to data analysis and communication.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background makes you a great fit for Agilent's R&D team. Don't forget to mention your interest in Raman spectroscopy if you have it!
Showcase Your Skills: If you've got experience with R, Python, or MATLAB, make sure to showcase it! Include specific examples of how you've used these tools in your studies or projects to analyse data or present findings.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s super easy, and you’ll be able to keep track of your application status directly!
How to prepare for a job interview at Agilent Technologies
✨Know Your Data Science Basics
Make sure you brush up on your data science fundamentals, especially in R, Python, or MATLAB. Be ready to discuss how you've used these tools in your studies or projects, as this will show your technical prowess and readiness for the role.
✨Showcase Your Communication Skills
Since effective communication is key in this role, prepare to explain complex data findings in simple terms. Think of examples where you've had to present data to a varied audience, and practice articulating your thoughts clearly and confidently.
✨Research Agilent and Their Innovations
Familiarise yourself with Agilent's work, particularly in Raman spectroscopy. Understanding their products and recent advancements will not only impress your interviewers but also help you relate your skills to their needs during the discussion.
✨Prepare Questions to Ask
Interviews are a two-way street, so come prepared with insightful questions about the team, projects, and company culture. This shows your genuine interest in the position and helps you determine if it's the right fit for you.