At a Glance
- Tasks: Assist in data collection and develop automation tools for Deep Learning projects.
- Company: Join a forward-thinking research team in the tech industry.
- Benefits: Gain hands-on experience, mentorship, and potential career growth.
- Other info: Collaborative environment with opportunities to learn and grow.
- Why this job: Dive into the world of AI and make a real impact on innovative technologies.
- Qualifications: Studying a technical degree with programming skills, especially in Python.
The predicted salary is between 20000 - 30000 £ per year.
The role involves assisting in data collection and dataset management, as well as developing in-house automation and analysis tools, as part of a research team responsible for all Deep Learning applications as well as other areas of computer vision.
Responsibilities:
- Assist in the collection, preparation and management of relevant data and image sets.
- Modify and extend scripts and programs which automate the above tasks and visualise the results.
- Assist in the training and evaluation of machine learning algorithms under the supervision of other team members.
- Record all changes made and document both software and research outputs.
- Work at all times in accordance with the Health & Safety at Work Act 1974 and follow company procedures and guidelines that assist this.
- Work at all times in accordance with the company's policies.
- Undertake such other duties as may be required within the general scope of the job.
Qualifications:
- Expected to be a student undertaking a degree in a technical discipline.
- Proficient in general IT skills on both Windows and Linux systems.
- Experience with programming or scripting, particularly Python, is a definite advantage.
- Mathematics or statistical analysis training is beneficial but not essential.
- Problem-solving skills: the ability to break down complex data challenges and find solutions.
- Communication and teamwork skills.
- Interest and excitement to learn in the subject is vital.
Data Science Intern in Farnborough employer: Jenoptik
As a Data Science Intern, you will be part of a dynamic research team dedicated to advancing Deep Learning and computer vision technologies. Our company fosters a collaborative work culture that prioritises employee growth through mentorship and hands-on experience, ensuring you gain valuable skills in data management and machine learning. Located in a vibrant tech hub, we offer unique opportunities for networking and professional development, making us an excellent employer for those seeking meaningful and rewarding careers in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Intern in Farnborough
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Data Science Intern in Farnborough
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Jenoptik will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Jenoptik
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Jenoptik.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Jenoptik that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
