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- Tasks: Support real-world marketing projects using machine learning and data analysis.
- Company: Leading global marketing agency with a focus on innovation.
- Benefits: Mentorship, hybrid work, and a chance to kickstart your data science career.
- Why this job: Join a dynamic team and make an impact in the marketing analytics space.
- Qualifications: Strong foundation in statistics, machine learning, Python, and SQL.
- Other info: Collaborative environment with opportunities for growth and learning.
The predicted salary is between 28800 - 48000 £ per year.
A leading global marketing agency is hiring a Junior Machine Learning Engineer for a 6-month fixed-term contract in London. The ideal candidate will have a strong foundation in statistics and machine learning, proficiency in Python and SQL, and a passion for problem-solving.
This role offers an opportunity to support real-world projects and grow under experienced mentorship, making it the perfect launchpad into a data science career. A collaborative and hybrid work environment is provided.
Entry-Level ML Engineer - Real-World Marketing Analytics in London employer: Rapp Collins
Contact Detail:
Rapp Collins Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Entry-Level ML Engineer - Real-World Marketing Analytics in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the marketing and machine learning fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show your passion for the industry.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss real-world applications of machine learning. Practise common interview questions and think about how you can showcase your problem-solving abilities.
✨Tip Number 3
Don’t just apply anywhere—apply through our website! We’ve got some fantastic opportunities that align perfectly with your skills. Tailor your application to highlight your stats and ML knowledge, and let us see your enthusiasm!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in making you memorable. Use this opportunity to reiterate your interest in the role and mention something specific from the interview that excited you.
We think you need these skills to ace Entry-Level ML Engineer - Real-World Marketing Analytics in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your foundation in statistics and machine learning in your application. We want to see your proficiency in Python and SQL, so don’t hold back on showcasing any relevant projects or experiences!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention how your passion for problem-solving aligns with the projects we tackle at StudySmarter. It shows us you’re genuinely interested!
Be Yourself: We love authenticity! Let your personality shine through in your written application. Share your journey and what excites you about starting a career in data science. We’re looking for a good fit, not just a list of qualifications.
Apply Through Our Website: Don’t forget to submit your application through our website. It’s the best way for us to keep track of your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Rapp Collins
✨Brush Up on Your Stats and ML Knowledge
Make sure you have a solid understanding of statistics and machine learning concepts. Review key algorithms, their applications, and be ready to discuss how you've used them in past projects or coursework.
✨Show Off Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve a coding problem or explain how you've used these languages in real-world scenarios, so practice coding challenges beforehand.
✨Be Ready to Problem-Solve
Since this role is all about tackling real-world marketing analytics problems, think of examples where you've successfully solved complex issues. Be prepared to walk through your thought process and how you approached each challenge.
✨Emphasise Your Collaborative Spirit
This position thrives in a collaborative environment, so highlight any teamwork experiences you've had. Share stories that showcase your ability to work well with others, especially in a hybrid setting, and how you can contribute to a positive team dynamic.