At a Glance
- Tasks: Train and evaluate machine learning models to enhance customer feedback insights.
- Company: Leading firm in Customer Experience Intelligence with a focus on innovation.
- Benefits: Flexible working arrangements, health benefits, and a supportive team culture.
- Other info: Remote work opportunity with a focus on professional growth.
- Why this job: Join a dynamic team and shape the future of AI in customer experience.
- Qualifications: Strong experience in transformer architectures, PyTorch, and excellent communication skills.
The predicted salary is between 60000 - 80000 £ per year.
A leader in Customer Experience Intelligence is looking for a Senior Data Scientist to join the team in the UK or work remotely. In this role, you will train and evaluate machine learning models focused on customer feedback, build LLM-powered features, and collaborate with both engineering and commercial teams.
Strong experience in transformer architectures and PyTorch is essential, along with excellent communication skills and a passion for AI. Additional perks include flexible working arrangements and health benefits.
Senior Data Scientist – AI & Customer Insights, Remote in London employer: Chattermill
As a leader in Customer Experience Intelligence, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee well-being and growth. Our remote working options provide flexibility, allowing you to balance your professional and personal life while contributing to innovative AI solutions. With a strong emphasis on collaboration and continuous learning, we offer ample opportunities for career advancement in a supportive environment that values your expertise and passion for technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist – AI & Customer Insights, Remote in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI and data science. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving transformer architectures and PyTorch. 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 communication skills. Since this role involves collaboration with engineering and commercial teams, being able to explain complex concepts in simple terms is key. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about AI and customer insights. Plus, it shows you're keen on joining our team!
We think you need these skills to ace Senior Data Scientist – AI & Customer Insights, Remote in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with transformer architectures and PyTorch in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your expertise!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention how your background in AI and customer insights can contribute to our mission at StudySmarter. It’ll make your application stand out!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured responses that get straight to the heart of your experience and passion for AI. Remember, communication is key!
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 to do!
How to prepare for a job interview at Chattermill
✨Know Your Models
Make sure you brush up on your knowledge of machine learning models, especially transformer architectures. Be ready to discuss your experience with PyTorch and how you've applied these technologies in real-world scenarios.
✨Showcase Your Communication Skills
Since this role involves collaboration with engineering and commercial teams, practice explaining complex data science concepts in simple terms. Prepare examples of how you've effectively communicated insights to non-technical stakeholders.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of AI and customer insights. Review common interview questions related to model evaluation and feature building, and be prepared to solve problems on the spot.
✨Demonstrate Your Passion for AI
Share your enthusiasm for AI and customer experience intelligence during the interview. Discuss any personal projects or research you've done in the field, as this will show your commitment and drive to excel in this role.
