At a Glance
- Tasks: Analyse data and run experiments to drive key decisions at Google.
- Company: Join Google, a leader in tech innovation and engineering excellence.
- Benefits: Gain hands-on experience, mentorship, and exposure to cutting-edge technologies.
- Other info: Collaborative environment with opportunities for growth and learning.
- Why this job: Make a real impact on millions while working on groundbreaking projects.
- Qualifications: PhD student in a relevant field with experience in data analysis tools.
The predicted salary is between 63000 - 77000 £ per year.
hackajob is partnering directly with Google to hire for this role.
Google's data scientists work within our Software Engineering organization, including Search, You Tube, and Google Ads.
We analyze sets of data and continually run live experiments in order to help drive critical decisions at Google.
Specifically, we support the development of innovative, highly scalable, next-generation technologies through research and advanced analysis.
Google is and always will be an engineering company.
We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users.
At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world.
From Google Ads to Chrome, Android to You Tube, Social to Local, Google engineers are changing the world one technological achievement after another.
Minimum qualifications
- Currently enrolled in a Ph D program in Statistics, Biostatistics, Computer Science, Mathematics, Operations Research, or a related technical field involving experimental design and quantitative analysis of experimental data, and in your penultimate year of study.
- Experience working with datasets using Python, R, SAS, MATLAB, or other statistical software.
Data Science PhD Intern, 2027 in London employer: Hackajob
Google is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for aspiring data scientists. With access to cutting-edge technology and the opportunity to work on projects that impact billions of users, interns can expect unparalleled growth and mentorship in a dynamic environment. The company's commitment to employee development and its focus on solving some of technology's greatest challenges ensure a rewarding and meaningful internship experience.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science PhD Intern, 2027 in London
✨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 PhD Intern, 2027 in London
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 Hackajob 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 Hackajob
✨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 Hackajob.
✨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 Hackajob that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
