At a Glance
- Tasks: Contribute to data-driven projects and enhance advertising effectiveness using SQL and Python.
- Company: Innovid, a forward-thinking company focused on data analytics.
- Benefits: 35 days holiday, pension plan, hybrid work, and training opportunities.
- Other info: Exciting growth potential in a collaborative environment.
- Why this job: Join a dynamic team and make a real impact in the advertising industry.
- Qualifications: Experience in data analysis and strong skills in SQL and Python.
The predicted salary is between 50000 - 70000 £ per year.
Innovid is seeking a Data Scientist to contribute to data-driven projects in the Research, Analytics & Data Team. You'll work with a robust dataset to enhance advertising effectiveness and optimize dynamic creatives.
The role requires collaboration on high-impact projects, utilizing SQL and Python for data analysis and building narratives through effective visualization.
Innovid offers a hybrid working model, competitive benefits including 35 days holiday, pension plan, and training opportunities.
Senior Data Scientist - Hybrid Role with RSUs & Growth in Edinburgh employer: Innovid
Innovid is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those looking to make a significant impact in the field of data science. With a hybrid working model, generous benefits including 35 days of holiday and a pension plan, as well as ample training opportunities for professional growth, Innovid stands out as a rewarding place to advance your career while contributing to meaningful projects in advertising effectiveness.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Hybrid Role with RSUs & Growth in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Innovid on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those using SQL and Python. This will help us demonstrate your expertise and creativity during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your SQL and Python skills. We recommend doing mock interviews with friends or using online platforms to simulate the experience.
✨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 connect directly with us.
We think you need these skills to ace Senior Data Scientist - Hybrid Role with RSUs & Growth in Edinburgh
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with SQL and Python in your application. We want to see how you've used these tools in past projects, especially if they relate to data analysis and visualisation.
Tell a Story:When you describe your previous work, focus on the impact of your projects. We love seeing how your contributions have enhanced advertising effectiveness or optimised processes, so don’t hold back on the details!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention how your background aligns with our goals at Innovid, especially in the context of data-driven projects and collaboration.
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 in our Research, Analytics & Data Team.
How to prepare for a job interview at Innovid
✨Know Your Data Tools
Make sure you're well-versed in SQL and Python, as these are crucial for the role. Brush up on your skills and be ready to discuss specific projects where you've used these tools to drive insights.
✨Showcase Your Analytical Mindset
Prepare to talk about how you've approached data-driven projects in the past. Think of examples where your analysis led to significant improvements in advertising effectiveness or creative optimisation.
✨Visualisation is Key
Since the role involves building narratives through effective visualisation, be ready to share examples of your work. Bring along a portfolio or screenshots of your visualisations to demonstrate your ability to convey complex data simply.
✨Emphasise Collaboration
This position requires teamwork, so highlight your experience working in collaborative environments. Be prepared to discuss how you’ve worked with cross-functional teams to achieve high-impact results.
