At a Glance
- Tasks: Develop analytical and machine learning solutions as part of our Data Science team.
- Company: Join PLP Group, a forward-thinking company in Central London.
- Benefits: Enjoy share options, a learning budget, and private health insurance.
- Other info: Experience a hybrid work model with great opportunities for growth.
- Why this job: Kickstart your career with flexible working and impactful projects in AI/ML.
- Qualifications: Ideal for recent STEM graduates or those with up to two years of experience.
The predicted salary is between 28000 - 38000 Β£ per year.
PLP Group is seeking a Graduate Data Scientist to join our team in Central London. This role is ideal for recent STEM graduates or those with up to two years of experience. You will work within our Data Science team, developing analytical and machine learning solutions. The position offers flexible working arrangements, including 3-4 days in the office and remote work options.
Benefits include:
- Share options
- A learning and development budget
- Private health insurance
Graduate Data Scientist β Hybrid AI/ML for Insights in London employer: PLP Group
PLP Group is an excellent employer for aspiring data scientists, offering a dynamic work culture in the heart of Central London. With flexible working arrangements and a strong emphasis on employee growth through a dedicated learning and development budget, you will have the opportunity to thrive in your career while enjoying benefits like share options and private health insurance.
StudySmarter Expert Adviceπ€«
We think this is how you could land Graduate Data Scientist β Hybrid AI/ML for Insights in London
β¨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or at local meetups. We canβt stress enough how valuable connections can be when it comes to landing that dream job.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and machine learning. This is your chance to demonstrate what you can do beyond your CV, so make it shine!
β¨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Graduate Data Scientist β Hybrid AI/ML for Insights in London
Some tips for your application π«‘
Tailor Your CV:Make sure your CV reflects the skills and experiences that are relevant to the Graduate Data Scientist role. Highlight any projects or coursework related to AI, ML, or data analysis to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data science and explain why you want to join us at PLP Group. Be sure to mention how your background aligns with our mission and values.
Showcase Your Projects:If you've worked on any data science projects, whether in university or on your own, include them in your application. We love seeing practical examples of your skills in action, especially those involving machine learning!
Apply Through Our Website:We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures you donβt miss out on any important updates from our team!
How to prepare for a job interview at PLP Group
β¨Know Your Data Science Basics
Make sure you brush up on your fundamental data science concepts, especially around machine learning algorithms and analytical techniques. Be ready to discuss how you've applied these in your studies or any projects you've worked on.
β¨Showcase Your Projects
Prepare to talk about specific projects you've completed, particularly those involving AI or ML. Highlight your role, the challenges you faced, and the outcomes. This will demonstrate your practical experience and problem-solving skills.
β¨Ask Insightful Questions
Come prepared with questions that show your interest in the company and the role. Inquire about the types of projects the Data Science team is currently working on or how they measure success in their analytics solutions.
β¨Emphasise Flexibility and Teamwork
Since this role involves hybrid working, be ready to discuss how you manage your time and collaborate with others remotely. Share examples of how you've successfully worked in teams, both in-person and online.