At a Glance
- Tasks: Build Python tools and automated pipelines for data science in media advertising.
- Company: Join targetjobs UK, a leader in innovative media solutions.
- Benefits: Enjoy private medical insurance, holiday buying schemes, and hybrid working.
- Other info: Great opportunity for career growth in a dynamic environment.
- Why this job: Make an impact in media advertising while developing your data science skills.
- Qualifications: Pursuing a relevant degree with Python and SQL proficiency.
The predicted salary is between 20000 - 30000 € per year.
targetjobs UK is seeking a Data Science Engineer to build the technical foundation for data science in media advertising. This position involves developing Python tooling, automated pipelines, and AI solutions with a focus on improving automation and efficiency.
Key qualifications include:
- A pursuit of a relevant degree
- Proficiency in Python and SQL
- Experience with data science tools
The role supports hybrid working and offers a competitive benefits package including private medical insurance, holiday buying schemes, and more.
Data Science Engineer Intern — Python & ML Pipelines in London employer: TargetJobs UK
At targetjobs UK, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our Data Science Engineer Intern role offers not only competitive benefits such as private medical insurance and holiday buying schemes but also ample opportunities for personal and professional growth in the dynamic field of media advertising. With a focus on hybrid working, we ensure our employees enjoy a balanced work-life experience while contributing to cutting-edge AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Engineer Intern — Python & ML Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at targetjobs UK on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and any ML pipelines you've built. This is your chance to demonstrate your hands-on experience and passion for data science.
✨Tip Number 3
Prepare for the interview by brushing up on common data science questions and coding challenges. We recommend practicing with platforms like LeetCode or HackerRank to sharpen your skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Data Science Engineer Intern — Python & ML Pipelines in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your proficiency in Python and SQL in your application. We want to see how you've used these skills in real projects, so don’t hold back on sharing your experiences!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. We love seeing how your background aligns with our needs, especially when it comes to data science tools and automation.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the point about your qualifications and experiences.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at TargetJobs UK
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python tooling and how you've used it in past projects. Practising coding challenges can also help you demonstrate your proficiency.
✨Showcase Your SQL Skills
Since SQL is a key qualification for this role, prepare to talk about your experience with databases. Think of specific examples where you've used SQL to solve problems or improve processes. Being able to explain your thought process will impress the interviewers.
✨Understand Data Science Tools
Familiarise yourself with the data science tools mentioned in the job description. If you have experience with any specific tools, be ready to discuss how you've applied them in real-world scenarios. This shows that you’re not just theoretically knowledgeable but practically skilled as well.
✨Prepare Questions About Automation and Efficiency
Since the role focuses on improving automation and efficiency, come prepared with insightful questions about the company's current processes. This demonstrates your interest in the role and shows that you’re thinking critically about how you can contribute to their goals.
