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- Tasks: Architect and optimise AI agent systems while building evaluation frameworks.
- Company: Leading tech firm in London with a focus on innovation and diversity.
- 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.
- Qualifications: 3+ years in data-driven optimisation, strong Python skills, and voice system knowledge.
- Other info: Embrace a culture of diversity and equality in a collaborative environment.
The predicted salary is between 43200 - 72000 £ 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 employer: Swap
Contact Detail:
Swap Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Agent Intelligence & Optimization
✨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 insider info and might even lead to a referral.
✨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 you’ve tackled real-world problems with your Python expertise.
✨Tip Number 3
Ace the interview by practising common questions related to AI agents and memory systems. We should also be ready to discuss our thought process in building evaluation frameworks—let’s show them we know our stuff!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Senior Data Scientist - Agent Intelligence & Optimization
Some tips for your application 🫡
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 don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about agent intelligence and optimisation. We love seeing candidates who can connect their personal interests with our mission.
Showcase Your Technical Skills: Don’t forget to mention any experience you have with voice systems or architecting agent systems. We’re looking for someone hands-on, so be specific about the tools and technologies you’ve used in your previous roles.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Swap
✨Know Your Data Inside Out
Make sure you brush up on your data-driven optimisation experience. Be ready to discuss specific projects where you've implemented optimisation techniques, especially in relation to AI agents. Highlight your problem-solving skills and how you've used data to drive decisions.
✨Show Off Your Python Skills
Since strong Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot or explain your thought process behind a piece of code. Practise common algorithms and libraries relevant to data science.
✨Familiarity with Voice Systems is Key
If you have experience with voice systems, make sure to bring it up! Discuss any projects where you've worked with voice recognition or natural language processing. If you haven't worked directly with these systems, do some research and be prepared to talk about how you would approach integrating them into agent systems.
✨Emphasise Cultural Fit
This company values diversity and equality, so be sure to express your alignment with these principles. Share examples of how you've contributed to a positive team culture in the past. Show that you're not just a great data scientist, but also a great team player who values collaboration and inclusivity.
