Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of algorithms for a high-scale advertising platform.
- Company: Dynamic UK eCommerce business focused on innovation.
- Benefits: Competitive salary, great perks, and opportunities for growth.
- Why this job: Make a real impact in the world of digital advertising with cutting-edge technology.
- Qualifications: Strong background in data science and experience with production ML systems.
- Other info: Join a collaborative team and shape the future of eCommerce.
The predicted salary is between 48000 - 72000 £ per year.
A UK consumer eCommerce business is seeking a Lead Data Scientist to take technical ownership of their internal advertising and monetisation platform's algorithms. This strategic role entails leading the algorithm roadmap, making architectural decisions, and deploying machine learning models in a high-scale environment.
The ideal candidate will possess a strong data science background with proven experience in production ML systems, advanced skills in Python and SQL, and familiarity with tools like PyTorch or TensorFlow.
Competitive salary and benefits await.
Lead Data Scientist: Production ML for Scalable Ads in Birmingham employer: iO Associates
Contact Detail:
iO Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist: Production ML for Scalable Ads in Birmingham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving production ML systems. This will give you an edge and demonstrate your hands-on experience with tools like Python, SQL, and PyTorch.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience with algorithm roadmaps and high-scale environments to catch our eye.
We think you need these skills to ace Lead Data Scientist: Production ML for Scalable Ads in Birmingham
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with production ML systems and your proficiency in Python and SQL. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Lead Data Scientist position. Mention your familiarity with tools like PyTorch or TensorFlow to catch our eye!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.
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!
How to prepare for a job interview at iO Associates
✨Know Your Algorithms
Make sure you brush up on the algorithms relevant to advertising and monetisation platforms. Be ready to discuss your experience with deploying machine learning models in production, as well as any architectural decisions you've made in past projects.
✨Showcase Your Technical Skills
Since the role requires advanced skills in Python and SQL, prepare to demonstrate your proficiency. You might be asked to solve a coding challenge or explain your thought process behind a data-related problem, so practice coding on a whiteboard or in an online environment.
✨Familiarity with Tools is Key
Get comfortable discussing tools like PyTorch or TensorFlow. If you’ve used them in previous roles, be ready to share specific examples of how you implemented them in your projects and the impact they had on your results.
✨Prepare for Strategic Discussions
This role is strategic, so expect questions about your vision for the algorithm roadmap. Think about how you would approach leading a team in making architectural decisions and how you would ensure scalability in a high-scale environment.
