Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and deploy cutting-edge AI models for video advertising.
- Company: Join a pioneering ad tech company shaping the future of contextual video targeting.
- Benefits: Enjoy a competitive salary, hybrid work model, and 25 days of holiday.
- Why this job: Be part of a fast-growing team impacting the video advertising landscape with innovative solutions.
- Qualifications: 3+ years in data science, expertise in Python, SQL, and cloud platforms required.
- Other info: Join a Disability Confident Committed employer.
The predicted salary is between 40000 - 64000 £ per year.
Data Scientist – (6-12 Months) 📍 London, N1 9GU | Hybrid Working 🕒 Start Date: July 2025 Are you a talented Data Scientist looking to make an impact in a and influential organisation? This is an exciting opportunity to use your analytical expertise and machine learning skills to enhance audience engagement strategies, improve user experience, and drive innovative solutions. 🔎 About the Role You\’ll be working across diverse teams, Editorial, Marketing, Sales, Product, and Engineering, to develop improving-edge models, generate meaningful insights, and ensure data-driven decision-making. Your work will contribute directly to the organisation\’s mission of informing and engaging audiences. ✨ Key Responsibilities Use advanced data analytics techniques to uncover audience behaviour trends Develop predictive models and machine learning algorithms to enhance decision-making Collaborate with cross-functional teams to shape data-driven solutions Design and conduct experiments, refining models for continuous improvment Enhance data infrastructure and tools for streamlined ML lifecycle management Present complex findings in an accessible way for technical and non-technical stakeholders Ensure ethical data handling and compliance with privacy regulations 📌 What We\’re Looking For ✅ An advanced degree in Statistics, Mathematics, Physics, Computer Science, or a related field ✅ At least two years of experience in Machine Learning ✅ Strong proficiency in Python (NumPy, Pandas, Scikit-Learn) and SQL ✅ Experience with deep-learning frameworks like TensorFlow and PyTorch ✅ Knowledge of cloud services (AWS, Google Cloud) and productionising ML models ✅ Ability to conduct successful A/B and multivariate tests ✅ A keen curiosity and proactive approach to problem-solving We Are Aspire Ltd are a Commited employer
Data Scientist employer: We Are Aspire
Contact Detail:
We Are Aspire Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the latest trends in AI and machine learning, especially in the context of video advertising. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the ad tech industry, particularly those who work with contextual video targeting. Engaging with them on platforms like LinkedIn can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific projects where you've developed and deployed machine learning models. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will showcase your problem-solving skills.
✨Tip Number 4
Practice explaining complex technical concepts in simple terms. Since you'll need to communicate with both technical and non-technical audiences, being able to break down your work will be a key asset in your interviews.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Tailor your application to highlight your relevant experience in data science, machine learning, and AI.
Showcase Your Skills: Emphasize your technical skills in Python, SQL, and cloud platforms like AWS. Provide specific examples of projects where you developed and deployed machine learning models, especially those related to NLP or LLMs.
Highlight Collaboration Experience: Since the role involves working with cross-functional teams, include examples of how you've successfully collaborated with others in previous roles. This could be through team projects or communication with stakeholders.
Communicate Clearly: Prepare to articulate complex technical concepts in a way that is understandable to non-technical audiences. Consider including a brief explanation of a past project in your application that demonstrates this ability.
How to prepare for a job interview at We Are Aspire
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and cloud platforms like AWS. Bring examples of projects where you've developed and deployed machine learning models, especially those related to NLP or LLMs.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You may need to communicate your ideas to both technical and non-technical stakeholders, so clarity is key.
✨Demonstrate Collaboration
Highlight your experience working in cross-functional teams. Be ready to share examples of how you've collaborated with data science and engineering teams to achieve project goals.
✨Understand the Business Impact
Research the company's role in the video advertising landscape. Be prepared to discuss how your work as a Data Scientist can influence their product roadmap and data strategy.
