At a Glance
- Tasks: Lead the development of AI-driven solutions for ad waste prevention.
- Company: A cutting-edge technology firm focused on data-driven innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Exciting role with potential for career advancement in a dynamic environment.
- Why this job: Join a team at the forefront of AI and data science to make a real impact.
- Qualifications: Strong ML experience, proficiency in Python and SQL, and AWS knowledge.
The predicted salary is between 60000 - 80000 € per year.
A data-driven technology firm is looking for a Senior Data Scientist to help build new capabilities within ad waste prevention. You will work at the intersection of data science, AI, and product development to create scalable solutions.
The ideal candidate has strong experience in ML systems, proficiency in Python and SQL, and practical knowledge of AWS. This full-time role is based in Greater London and offers a hybrid work format.
Senior Data Scientist - AI, Production ML & POC Lead employer: Lunio
Join a forward-thinking data-driven technology firm in Greater London, where innovation meets collaboration. We pride ourselves on fostering a dynamic work culture that encourages creativity and continuous learning, offering ample opportunities for professional growth in the rapidly evolving fields of AI and machine learning. With a hybrid work format, competitive benefits, and a commitment to employee well-being, we provide an environment where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - AI, Production ML & POC Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work with AI and ML. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and AWS. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data science interview questions and be ready to discuss your experience with ML systems and scalable solutions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Data Scientist - AI, Production ML & POC Lead
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with ML systems, Python, SQL, and AWS in your application. We want to see how your skills align with what we're looking for!
Tailor Your Application:Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Senior Data Scientist role. We love seeing candidates who take the time to connect their experience to our needs.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication that gets right to the heart of your qualifications and experiences.
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 without any hiccups!
How to prepare for a job interview at Lunio
✨Know Your Data Science Fundamentals
Brush up on your core data science concepts, especially around machine learning systems. Be ready to discuss your experience with algorithms, model evaluation, and how you've applied these in real-world scenarios.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python and SQL. You might be asked to solve a coding problem or explain your approach to data manipulation and analysis, so practice coding challenges beforehand.
✨Familiarise Yourself with AWS
Since practical knowledge of AWS is crucial for this role, make sure you can talk about your experience with cloud services. Be prepared to discuss how you've used AWS tools in your previous projects, particularly in relation to deploying ML models.
✨Align with Their Vision
Understand the company's focus on ad waste prevention and think about how your skills can contribute to this goal. Prepare examples of past projects that align with their mission, showcasing your ability to create scalable solutions at the intersection of data science and product development.
