At a Glance
- Tasks: Build Python tools and automate ML pipelines for media advertising.
- Company: Targetjobs UK, a leader in data science for media.
- Benefits: Competitive salary, hybrid work, and health benefits.
- Other info: Exciting opportunity for growth in a dynamic environment.
- Why this job: Join us to shape the future of data science in advertising.
- Qualifications: Experience in Python and machine learning workflows.
The predicted salary is between 30000 - 40000 £ per year.
Targetjobs UK is seeking a Placement Data Science Engineer to build the technical foundation for data science in media advertising. The role involves developing Python tooling, automating pipelines, and creating AI solutions.
Responsibilities include:
- Supporting development and maintenance of data science tools
- Enhancing internal modelling
- Implementing machine learning workflows
The position offers a competitive salary, hybrid working arrangements, and various health and wellbeing benefits.
Junior Data Science Engineer: Python & ML Pipelines employer: TargetJobs UK
Targetjobs UK is an excellent employer for aspiring data science professionals, offering a dynamic work culture that fosters innovation and collaboration. With competitive salaries, hybrid working arrangements, and a strong focus on health and wellbeing, employees are encouraged to grow their skills in a supportive environment while contributing to cutting-edge AI solutions in media advertising.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Science Engineer: Python & ML Pipelines
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and machine learning models. We recommend using GitHub to share your work; it’s a great way to demonstrate your capabilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and coding challenges. We suggest doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates. Let’s get you that job!
We think you need these skills to ace Junior Data Science Engineer: Python & ML Pipelines
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or coursework!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science in media advertising and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects:If you've worked on any cool data science projects, make sure to mention them! Whether it's automating pipelines or developing AI solutions, we want to know what you've done and how it relates to the role.
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 don’t miss out on any important updates from us!
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 problem-solving abilities.
✨Showcase Your ML Pipeline Experience
Prepare to talk about any machine learning workflows you've implemented. Think of specific examples where you automated pipelines or enhanced internal modelling. This will show your practical knowledge and how you can contribute to their data science tools.
✨Understand the Media Advertising Landscape
Familiarise yourself with the media advertising industry and how data science plays a role in it. Being able to discuss trends, challenges, and opportunities in this field will impress the interviewers and show your genuine interest in the position.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask at the end of the interview. Inquire about the team’s current projects, the tools they use, or how they measure success in their data science initiatives. This shows that you're engaged and eager to learn more about the role.
