At a Glance
- Tasks: Manage and optimise media campaigns using data-driven strategies in a dynamic ad tech environment.
- Company: Captify UK, part of Verve Group, known for its innovative approach to programmatic advertising.
- Benefits: Gain hands-on experience with cutting-edge ad tech and work in a collaborative team.
- Other info: Exciting opportunities for career growth in a vibrant and supportive workplace.
- Why this job: Join a growing team and make an impact in the fast-paced world of programmatic advertising.
- Qualifications: Passion for data, strong analytical skills, and a desire to learn about ad tech.
The predicted salary is between 29700 - 36300 £ per year.
Captify UK, now part of Verve Group, is growing its Trading/Activation Team and seeking a Programmatic Strategist. You will help manage and optimise media campaigns on the buy- and sell-side, gaining experience with programmatic buying, RTB, DSPs, and SSPs across video and display formats.
Working with Global Trading Hub, you will set up deals with SSP partners, monitor spend and performance, provide optimisation recommendations, and collaborate with Sales and Account Management to maximise.
Programmatic Strategist: Data-Driven Ad Tech Optimizer in London employer: Captify
Captify is an exceptional employer that fosters a vibrant work culture where creativity and collaboration thrive. With a focus on employee growth, we offer numerous opportunities for professional development and the chance to make a significant impact in the dynamic ad-tech industry. Located in the UK, our team enjoys a supportive environment that values innovation and encourages meaningful contributions to brand initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Programmatic Strategist: Data-Driven Ad Tech Optimizer in London
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We think you need these skills to ace Programmatic Strategist: Data-Driven Ad Tech Optimizer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Captify, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Captify. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Captify
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Captify!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
