At a Glance
- Tasks: Architect and optimise AI agent systems while implementing innovative memory frameworks.
- Company: Leading tech firm in London with a focus on diversity and equality.
- Benefits: Competitive PTO, wellness benefits, and stock options for a balanced lifestyle.
- Why this job: Join a dynamic team to shape the future of AI technology and make a real impact.
- Qualifications: 3+ years in data-driven optimisation, strong Python skills, and voice system familiarity.
The predicted salary is between 43200 - 72000 Β£ per year.
A leading tech firm in London is seeking a Senior Data Scientist to enhance their AI agents. This hands-on role involves architecting agent systems, implementing memory systems, and building evaluation frameworks.
Candidates should have:
- 3+ years of data-driven optimisation experience
- Strong Python skills
- Familiarity with voice systems
The position offers competitive PTO, wellness benefits, and stock options, contributing to a culture of diversity and equality.
Senior Data Scientist - Agent Intelligence & Optimization in London employer: Swap
Contact Detail:
Swap Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior Data Scientist - Agent Intelligence & Optimization in London
β¨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
β¨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your data-driven optimisation projects. We want to see how youβve tackled real-world problems, especially with Python and AI systems.
β¨Tip Number 3
Ace the interview! Brush up on common data science interview questions and be ready to discuss your experience with voice systems. We recommend practising with a friend or using mock interview platforms.
β¨Tip Number 4
Apply through our website! Itβs the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Scientist - Agent Intelligence & Optimization in London
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your experience in data-driven optimisation and Python skills. We want to see how your background aligns with the role of enhancing AI agents, so donβt hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youβre passionate about agent intelligence and optimisation. We love seeing candidates who can connect their personal interests with our mission.
Showcase Your Projects: If you've worked on any cool projects related to voice systems or memory systems, make sure to mention them! Weβre keen to see practical examples of your work that demonstrate your hands-on experience.
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures youβre considered for this exciting opportunity. Plus, itβs super easy!
How to prepare for a job interview at Swap
β¨Know Your Data Science Stuff
Make sure you brush up on your data-driven optimisation techniques and Python skills. Be ready to discuss specific projects where you've implemented these skills, especially in relation to AI agents or voice systems.
β¨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would architect agent systems or implement memory systems. Practising these types of questions can help you articulate your thought process clearly.
β¨Understand Their Culture
Familiarise yourself with the company's commitment to diversity and equality. Be prepared to discuss how you can contribute to this culture and why it matters to you. This shows that youβre not just a fit for the role, but also for the team.
β¨Ask Insightful Questions
Prepare some thoughtful questions about the role and the companyβs future projects. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals.