At a Glance
- Tasks: Analyse AI conversation data to uncover user engagement patterns and drive product improvements.
- Company: Join Synthesia, a leader in AI technology with a focus on innovation.
- Benefits: Enjoy competitive pay, equity options, and a flexible remote work environment.
- Other info: Be part of a dynamic team with opportunities for growth and development.
- Why this job: Make a real impact on AI products while mentoring fellow analysts.
- Qualifications: Experience in data analysis and a passion for AI-driven solutions.
The predicted salary is between 56250 - 68750 £ per year.
Synthesia is seeking a Senior Data Scientist to join our Product Data team to understand how users engage with AI-native features through conversation data.
You will analyse prompts, model outputs, and edits at scale to uncover patterns that drive adoption and retention.
Lead semantic analysis of conversations, shape product improvements, and mentor analysts.
This role offers a flexible, remote-friendly setup for UK/Europe, competitive compensation, and equity.
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Senior Data Scientist, AI Product Conversations (Remote) in London employer: AI Startups UK
Odyssey is an exceptional employer, offering a dynamic work environment in London where innovation thrives. As a VP of Research, you'll lead a world-class team at the forefront of AI technology, with ample opportunities for professional growth and collaboration across disciplines. Our culture fosters creativity and ambition, making it an ideal place for those passionate about shaping the future of world models and AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist, AI Product Conversations (Remote) in London
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We think you need these skills to ace Senior Data Scientist, AI Product Conversations (Remote) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
