At a Glance
- Tasks: Design datasets and develop models to ensure safe AI use in enterprises.
- Company: Exciting AI security startup backed by top investors.
- Benefits: Work with cutting-edge tools and enjoy a dynamic, innovative environment.
- Other info: Join a fast-paced team focused on groundbreaking AI solutions.
- Why this job: Make a real impact on AI security and protect sensitive data.
- Qualifications: Experience in shipping models and expertise in Python and NLP.
The predicted salary is between 60000 - 80000 £ per year.
You will be a critical member of the product delivery team, laying the groundwork for secure Generative AI adoption in the enterprise. You'll design curated datasets, build detection models for sensitive data, and iterate based on real-world customer feedback to ensure teams can use AI tools safely and confidently.
Location: London, UK
Why this role is remarkable:
- Work at the forefront of AI security with a team led by cybersecurity experts and backed by top-tier investors like Ten Eleven Ventures and In-Q-Tel.
- Direct impact on a category-defining product that enables safe enterprise adoption of LLMs by protecting sensitive data in real-time.
- Join an AI-first culture where you are encouraged to use and build with the latest tools like Claude Code and Cursor to automate workflows.
What You Will Do:
- Design and curate comprehensive datasets tailored for training and fine-tuning sensitive data detection models.
- Develop, validate, and ship production-ready NLP models that categorize and protect enterprise data at scale.
- Drive continuous model improvement by analyzing performance dashboards and incorporating direct feedback from customer interactions.
The ideal candidate:
- Proven track record of shipping production-grade models and managing high-quality datasets within a live SaaS product environment.
- Expert-level Python skills with deep knowledge of NLP techniques, classification approaches, and data categorization taxonomies.
- A product-driven mindset that prioritises incremental delivery and thrives in a fast-paced, innovative startup atmosphere.
Data Scientist: Secure Enterprise LLMs for Safe AI employer: Jack & Jill
Join a pioneering AI security startup in London, where you will be at the cutting edge of technology, working alongside cybersecurity experts to shape the future of secure Generative AI. Our vibrant, AI-first culture fosters innovation and collaboration, offering you the chance to make a direct impact on a groundbreaking product while utilising the latest tools and methodologies. With a strong focus on employee growth and development, we provide an environment that encourages continuous learning and meaningful contributions to the field of AI security.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist: Secure Enterprise LLMs for Safe AI
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and cybersecurity space on LinkedIn. Join relevant groups and engage in discussions to get your name out there. You never know who might have a lead on that perfect Data Scientist role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to NLP and data protection. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI security. Practice common interview questions and be ready to discuss how you've tackled real-world problems in your past roles.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our mission. Tailor your application to highlight your experience with secure AI and how you can contribute to our team.
We think you need these skills to ace Data Scientist: Secure Enterprise LLMs for Safe AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Scientist role. Highlight your expertise in Python, NLP techniques, and any relevant projects you've worked on that showcase your ability to handle sensitive data.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI security and how your background makes you a perfect fit for our team. Share specific examples of your work with production-grade models and datasets to grab our attention.
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills—demonstrate how you've used them to solve real-world problems. We love candidates who can show us their thought process and how they iterate based on feedback.
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 in our AI-first culture!
How to prepare for a job interview at Jack & Jill
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets you’ve worked with. Be ready to discuss how you designed and curated them, especially in relation to sensitive data detection. This will show your understanding of the role and its impact on secure AI adoption.
✨Showcase Your Python Prowess
Brush up on your Python skills and be prepared to demonstrate your expertise during the interview. You might be asked to solve a problem or explain your approach to building production-grade models, so having examples ready will help you stand out.
✨Emphasise Your Product Mindset
Highlight your experience in delivering incremental improvements in a fast-paced environment. Share specific examples of how you’ve iterated on models based on user feedback, as this aligns perfectly with the company’s focus on continuous improvement.
✨Be Ready for Technical Questions
Expect technical questions related to NLP techniques and classification approaches. Prepare to discuss your thought process and decision-making when it comes to data categorisation taxonomies, as this will demonstrate your depth of knowledge and suitability for the role.
