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 with cutting-edge AI solutions.
- Qualifications: Pursuing a relevant degree with skills in Python, SQL, and data science tools.
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 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 not only offers the chance to work on cutting-edge projects in media advertising but also provides ample opportunities for personal and professional growth, supported by a competitive benefits package and a flexible hybrid working environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Engineer Intern — Python & ML Pipelines
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the data science field, especially those who have worked at targetjobs UK. A friendly chat can give us insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and ML pipelines. This is a great way to demonstrate your hands-on experience and passion for data science, making you stand out in interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and Python skills. We recommend practicing common data science problems and algorithms to ensure you're ready to impress when it counts.
✨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 are proactive about their job search!
We think you need these skills to ace Data Science Engineer Intern — Python & ML Pipelines
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your proficiency in Python in your application. We want to see how you've used it in past projects or coursework, especially if it relates to building tools or pipelines.
Talk About Your Data Science Experience:If you've worked with data science tools or have experience in SQL, let us know! Share specific examples of how you've applied these skills to solve problems or improve processes.
Tailor Your Application:Don’t just send a generic application. We love seeing candidates who take the time to tailor their CV and cover letter to our job description. Mention how your goals align with our mission in media advertising.
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 the role. Plus, it’s super easy!
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 extract or manipulate data, and be ready to answer technical questions related to it.
✨Understand Data Science Tools
Familiarise yourself with the data science tools relevant to the position. Whether it's machine learning libraries or data visualisation tools, being able to discuss these will show your enthusiasm and readiness for the role.
✨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 shows your interest in the role and helps you understand how you can contribute effectively.
