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- Tasks: Analyse massive datasets and design A/B experiments to optimise ad performance.
- Company: Join a leading global consumer platform focused on data-driven insights.
- Benefits: Competitive salary, remote work, and weekly pay.
- Why this job: Make a real impact on digital advertising strategies and product improvements.
- Qualifications: Strong SQL skills, experience with A/B testing, and background in product analytics.
- Other info: Remote role with a dynamic team and exciting challenges.
The predicted salary is between 63000 - 105000 £ per year.
Want to work on data problems at a global scale? We're hiring a Senior Data Scientist to help improve how digital advertising performance is measured and optimised across one of the world's largest consumer platforms.
You'll analyse massive datasets, design A/B experiments, and work closely with product and engineering teams to turn insights into real product improvements.
The Offer:
- Annual Salary up to £105,000 doe and location (pro-rata)
- Contract Length: approx ~3 months - inside IR35 - PAYE - Paid weekly via PrincipleHR
- Paternity Cover
- Location: Remote within the UK (candidates considered are to be physically based in the UK and have the appropriate work permit, no sponsorship)
What you'll work on:
- Measuring and improving ad performance
- Designing and analysing A/B experiments
- Identifying insights from large-scale datasets
- Influencing product and advertiser targeting strategies
What we need:
- Strong SQL and data analysis skills
- Experience with A/B testing/experimentation
- Background in product analytics, ads, or growth data
- Python or R
- Experience working with large datasets
If you enjoy solving complex data problems and influencing product decisions through experimentation, we'd love to hear from you. Apply now or reach out for a confidential chat.
Data Scientist - Experimentation & Ads Analytics in City of London employer: Principle
Contact Detail:
Principle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Experimentation & Ads Analytics in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We can’t stress enough how personal connections can lead to job opportunities, so don’t be shy!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, A/B tests, and any cool insights you've uncovered. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend simulating real interview scenarios with friends or mentors to boost your confidence and refine your answers.
✨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 hearing from passionate candidates who are eager to tackle data challenges with us.
We think you need these skills to ace Data Scientist - Experimentation & Ads Analytics in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, A/B testing, and data analysis. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to improving ad performance. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Since we’re looking for someone with strong Python or R skills, make sure to mention any relevant tools or libraries you’ve used. If you’ve worked with large datasets, share specific examples of what you achieved!
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 – just a few clicks and you’re done!
How to prepare for a job interview at Principle
✨Know Your Data Tools
Make sure you're well-versed in SQL, Python, and R. Brush up on your data analysis skills and be ready to discuss how you've used these tools in past projects. Being able to demonstrate your technical expertise will show that you're the right fit for tackling complex data problems.
✨A/B Testing Mastery
Since the role involves designing and analysing A/B experiments, come prepared with examples of experiments you've conducted. Be ready to explain your methodology, the insights you gained, and how those insights influenced product decisions. This will highlight your practical experience in experimentation.
✨Understand the Business Impact
Familiarise yourself with how data analytics can improve ad performance and influence product strategies. Think about how your work can drive results for the company and be prepared to discuss this during the interview. Showing that you understand the bigger picture will set you apart.
✨Engage with the Team
Since you'll be working closely with product and engineering teams, demonstrate your collaborative spirit. Prepare questions about their processes and how you can contribute to their goals. This shows that you're not just a lone wolf but someone who values teamwork and communication.