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- 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
Do you crave a role where you can build cutting-edge AI models that shape the future of video advertising?
Our client is not just another ad tech company. They are a pioneer in contextual video targeting, helping the world’s biggest brands navigate the cookieless landscape.
Seeking a passionate and talented Data Scientist to join their high-performing team. You’ll be working on exciting projects, developing and deploying innovative machine learning solutions that deliver exceptional results for their clients.
What you’ll be doing:
- Building the future: Develop and deploy cutting-edge AI models, from prototype to production, to solve complex business challenges.
- Impacting the product roadmap: Influence the direction of their data strategy and product development.
- Collaborating with brilliant minds: Work closely with their data science and engineering teams, as well as key stakeholders across the business.
- Communicating your impact: Clearly communicate complex technical concepts to both technical and non-technical audiences.
What you’ll bring:
- Proven experience: 3+ years of experience in data science, machine learning, or a related field.
- Strong technical foundation: Expertise in Python, SQL, and cloud platforms (AWS preferred).
- A passion for AI: Experience with NLP, LLMs, and building and deploying production-grade ML models.
- Excellent communication and collaboration skills: Ability to work effectively with cross-functional teams and communicate complex ideas clearly.
Why join them?
- Competitive salary and benefits: 50,000 – 80,000 per year, plus performance-based bonuses, 25 days of holiday, pension contributions, and more.
- Hybrid work model: Enjoy the flexibility of working from home and collaborating in their London office.
- Be part of something big: Join a fast-growing company at the forefront of the video advertising revolution.
We Are Aspire Ltd are a Disability Confident Commited employer
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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.
