Senior Data Scientist

Mindgard

Mindgard is a pioneering AI security startup from London focused on protecting AI applications from cyber threats. This role contributes to their mission by enhancing the accuracy and insights of their automated red teaming product. The team collaborates on using advanced AI techniques to identify vulnerabilities, supporting the security of AI applications.

In this role you can expect to have the responsibilities:

• Analyze the accuracy of techniques for classifying results and identifying vulnerabilities.
• Evaluate alternative approaches identified by the team.
• Develop improved methods for classification and vulnerability identification.
• Identify and create new insights and visualizations beneficial to customers.
• Design improvements to data pipelines and labeling systems for quality enhancement.
• Advise the engineering team on data engineering and science best practices.
• Collaborate with the wider engineering team to implement proposals.
• Communicate complex data insights to non-technical colleagues.

This role requires you to have:

• Statistical analysis proficiency
• Data Science and Data Engineering experience
• SQL and Python proficiency
• Building ML models experience
• Cloud platforms experience (AWS/GCP/Azure)

You would benefit from having:

• Experience with Generative AI data management
• Infrastructure provisioning and operating

Mindgard values diversity and encourages applications from those who do not meet every listed requirement. They emphasize equal employment opportunities and strive for an inclusive work environment.