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- Tasks: Design datasets and develop detection models for secure Generative AI.
- Company: Leading cybersecurity firm in Greater London with a focus on innovation.
- Benefits: Competitive pay, flexible hybrid work model, and career growth opportunities.
- Why this job: Join a cutting-edge team and make a difference in AI security.
- Qualifications: Expertise in Python and data management required.
- Other info: Collaborative environment with a focus on incremental product delivery.
The predicted salary is between 36000 - 60000 £ per year.
A cybersecurity firm in Greater London seeks a Data Scientist to enhance secure Generative AI adoption. You will be responsible for designing datasets, developing and validating detection models, and collaborating effectively with technical teams.
Ideal candidates have expertise in Python and data management with a focus on incremental product delivery.
The company offers competitive pay, benefits, and a flexible hybrid work model to support your career growth.
Data Scientist - Secure Generative AI & NLP Models (Hybrid) in London employer: Harmonic Security
Contact Detail:
Harmonic Security Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Secure Generative AI & NLP Models (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the cybersecurity and AI space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews by brushing up on your Python skills and understanding the latest trends in Generative AI and NLP. We want you to be ready to impress with your knowledge and problem-solving abilities!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Use our website to find roles that excite you, and tailor your approach to each one!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Show them you’re genuinely interested in the role and the company.
We think you need these skills to ace Data Scientist - Secure Generative AI & NLP Models (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and data management. We want to see how your skills align with the role of a Data Scientist in secure Generative AI, 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 cybersecurity and how your expertise can contribute to our mission. Keep it concise but impactful – we love a good story!
Showcase Collaboration Skills: Since you'll be working closely with technical teams, highlight any past experiences where you’ve successfully collaborated on projects. We value teamwork, so let us know how you’ve contributed to group success!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better. Don’t miss out on this opportunity!
How to prepare for a job interview at Harmonic Security
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any relevant data management tools. Be ready to discuss specific projects where you've designed datasets or developed detection models, as this will show your hands-on experience.
✨Showcase Your Collaboration Skills
Since the role involves working with technical teams, prepare examples of how you've successfully collaborated in the past. Highlight any cross-functional projects where you contributed to incremental product delivery.
✨Understand the Cybersecurity Landscape
Familiarise yourself with current trends in cybersecurity, especially around Generative AI. Being able to discuss how these technologies can be applied securely will demonstrate your industry knowledge and enthusiasm for the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to secure AI adoption and their expectations for the Data Scientist role. This shows your genuine interest and helps you assess if the company is the right fit for you.
