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- Tasks: Lead impactful data science projects using SQL and Python for advertising optimisation.
- Company: Global data-driven company based in Glasgow with a humble culture.
- Benefits: Competitive salary and benefits while making a difference in the TV sector.
- Why this job: Revolutionise advertising effectiveness and work on exciting data science challenges.
- Qualifications: Advanced experience in data wrangling, statistical techniques, and machine learning.
- Other info: Join a dynamic team with opportunities for growth and innovation.
The predicted salary is between 43200 - 72000 £ per year.
A global data-driven company in Glasgow seeks a Data Scientist to lead impactful data science projects. The successful candidate will utilize SQL and Python for data analysis, guiding solutions for advertising effectiveness and optimization. Advanced experience in data wrangling, statistical techniques, and machine learning libraries is essential. Join a humble organization offering competitive salary and benefits while playing a key role in revolutionizing the TV sector.
Lead Data Scientist — Advertising & Dynamic Creatives in Glasgow employer: Okta Resourcing
Contact Detail:
Okta Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist — Advertising & Dynamic Creatives in Glasgow
✨Tip Number 1
Network like a pro! Reach out to current employees or alumni from your university who work in data science. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects using SQL and Python. This is your chance to demonstrate your data wrangling and machine learning expertise in a way that stands out.
✨Tip Number 3
Prepare for the interview by brushing up on statistical techniques and real-world applications. We recommend practising common data science interview questions and case studies to show you can think on your feet.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Data Scientist — Advertising & Dynamic Creatives in Glasgow
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 when it comes to data analysis and machine learning.
Be Specific About Your Experience: When discussing your previous roles, focus on specific projects where you’ve made an impact. We love seeing concrete examples of how your work has improved advertising effectiveness or optimisation.
Keep It Professional Yet Personal: While we appreciate a professional tone, don’t be afraid to let your personality shine through. A bit of authenticity can go a long way in making your application stand out!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in our humble organisation.
How to prepare for a job interview at Okta Resourcing
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your Statistical Savvy
Prepare to talk about your experience with statistical techniques and machine learning libraries. Have examples ready that demonstrate how you've applied these methods to solve real-world problems, especially in advertising or optimisation.
✨Understand the Company’s Vision
Research the company’s role in the TV sector and think about how your skills can contribute to their goals. Being able to articulate how you can help revolutionise their approach will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current data projects or how they measure advertising effectiveness, which will demonstrate your enthusiasm and strategic thinking.
