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- Tasks: Evaluate AI applications and assess security controls in a global financial services project.
- Company: Join a leading global financial services organisation focused on risk and security.
- Benefits: Enjoy a hybrid work model with competitive pay of £550 a day.
- Why this job: Work on cutting-edge AI projects while developing your skills in a dynamic environment.
- Qualifications: Experience in Data Science or Engineering, with a strong background in Machine Learning or AI required.
- Other info: Contract role for 6 months, starting ASAP, with opportunities for impactful contributions.
The predicted salary is between 39600 - 66000 £ per year.
Contract: Data Scientist / Data Engineer
Start: ASAP
Duration: 6 months
Rate: £550 a day (Deemed Inside IR35 via an Umbrella solution)
Location: Hybrid with 3 days per week in Moorgate
Reference: 19148
Immediate contract for an experienced Data Scientist or Data Engineer with a strong background in Machine Learning (ML) or Artificial Intelligence (AI) to work on a project within a global Financial Services organisation within risk and security.
Evaluating AI-driven applications and performing in-depth assessments of security controls and vulnerabilities, particularly in the context of large language models (LLMs) and other advanced AI systems. The Data Scientist/Engineer will blend deep technical expertise with strong communication skills, capable of translating complex AI and security topics into clear, actionable insights for stakeholders across technical and non-technical teams.
Key Responsibilities- Conduct thorough technical reviews of AI/ML applications to identify potential vulnerabilities and risks.
- Assess and evaluate AI security controls, including data integrity, model robustness, explainability, and compliance with governance frameworks.
- Analyze risks in LLM and ALM (AI Lifecycle Management) environments.
- Translate complex AI, ML, and security concepts into understandable terms for diverse audiences.
Contact Detail:
Click To Hired Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist / Data Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and ML, especially regarding security vulnerabilities. Being able to discuss recent developments or case studies during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Prepare to showcase your technical skills through practical examples. Think of specific projects where you've evaluated AI applications or assessed security controls, as this will help you stand out as a candidate who can apply their knowledge effectively.
✨Tip Number 3
Brush up on your communication skills. Since the role requires translating complex topics for various stakeholders, practice explaining technical concepts in simple terms. This will be crucial during interviews when discussing your past experiences.
✨Tip Number 4
Network with professionals in the financial services sector, particularly those involved in AI and risk management. Engaging with industry experts can provide insights into the role and may even lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Data Scientist / Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Data Science and Data Engineering, particularly focusing on Machine Learning and Artificial Intelligence. Use specific examples of projects you've worked on that relate to AI-driven applications and security assessments.
Craft a Compelling Cover Letter: Write a cover letter that clearly outlines your understanding of the role and how your skills align with the responsibilities mentioned in the job description. Emphasise your ability to communicate complex technical topics to diverse audiences, as this is crucial for the position.
Showcase Relevant Projects: If you have worked on projects involving large language models or AI security controls, be sure to include these in your application. Detail your role, the technologies used, and the outcomes achieved to demonstrate your expertise.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects attention to detail, which is essential in the field of Data Science and Engineering.
How to prepare for a job interview at Click To Hired
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Machine Learning and Artificial Intelligence in detail. Highlight specific projects where you've evaluated AI-driven applications or assessed security controls, especially in the context of large language models.
✨Communicate Clearly
Since the role requires translating complex topics for various stakeholders, practice explaining your technical work in simple terms. Use examples that demonstrate your ability to bridge the gap between technical and non-technical teams.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would approach evaluating AI security controls or identifying vulnerabilities in AI/ML applications, and be ready to articulate your thought process.
✨Research the Company and Industry
Familiarise yourself with the global Financial Services organisation's focus on risk and security. Understanding their specific challenges and recent developments in AI and ML will help you tailor your responses and show genuine interest in the role.
