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Senior Data Scientist

Mindgard

London

On-site

GBP 40,000 - 80,000

Full time

30+ days ago

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Job summary

Join a forward-thinking startup at the forefront of AI security! As a Data Scientist, you'll enhance our automated red teaming product by analyzing classification techniques, developing new methods, and advising on data practices. This role offers a unique opportunity to work with cutting-edge technology in a collaborative environment, where your insights will directly impact the security of AI applications. If you're passionate about data science and eager to make a difference in a rapidly evolving field, we invite you to apply and become a vital part of our innovative team.

Qualifications

  • Proficient in statistical analysis and experienced in data science roles.
  • Skilled in SQL, Python, and building ML models.

Responsibilities

  • Analyze techniques for classifying results and identifying vulnerabilities.
  • Design improvements to data pipelines and communicate insights.

Skills

Statistical Analysis
Data Science
Data Engineering
SQL
Python
Generative AI
Machine Learning Models
Cloud Platforms (AWS/GCP/Azure)

Job description

Mindgard is a London-based startup specializing in AI security. Our mission is to secure the future of AI Applications against cyber attacks. We've spun out from a leading UK university after a decade of R&D, and are among the first few companies globally to offer solutions to this rapidly growing problem.

Mindgard's automated AI red teaming product helps security testers test for, identify, and remediate vulnerabilities in AI applications.

Mindgard probes AI applications and uses a set of techniques, including Predictive AI, LLMs, and other algorithms to identify security-relevant attributes within application responses.

Role & Responsibilities

We're looking for an experienced Data Scientist to join our automated red teaming product team to enhance data insights and accuracy.

In this role you will:

  • Analyze the accuracy of our techniques for classifying results and identifying vulnerabilities.
  • Evaluate the relative merits of alternative approaches identified by the team.
  • Identify and develop further improved methods for classifying results and identifying vulnerabilities.
  • Identify new insights and visualisations from our data that would benefit our customers.
  • Design and implement improvements to data pipelines and labelling systems that facilitate ongoing quality.
  • Advise the engineering team on good data engineering and data science practices.
  • Work with the wider engineering team to implement your proposals.
  • Clearly communicate complex data insights to less technical colleagues.
Skills & Experience

We're looking for people who are:
  • Highly competent at statistical analysis.
  • Experienced in Data Science and Data Engineering roles.
  • Proficient with SQL and Python.
  • Experienced with using and managing data created by Generative AI.
  • Experienced at building ML models.
  • Comfortable working with cloud platforms like AWS/GCP/Azure.
  • Able to provision and operate infrastructure you require.
Before you go, we want you to know!

Studies have shown that some groups of people are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you don't meet all of the above criteria, but you think you'd be a great addition to Mindgard, we encourage you to apply as you might just be the candidate we hire. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.
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