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- Tasks: Join a leading insurance firm as a Data Scientist, focusing on AI and ML risk assessments.
- Company: Work with a renowned insurance company known for innovation and excellence.
- Benefits: Enjoy up to £495 per day, hybrid working, and a dynamic work environment.
- Other info: Immediate availability required; no sponsorship available.
- Why this job: Make an impact by enhancing AI security while developing your skills in a cutting-edge field.
- Qualifications: Experience in AI/ML, Python scripting, and risk assessment is essential; degree preferred.
The predicted salary is between 39600 - 59400 £ per year.
Data Scientist – AI / ML, Python, Scripting, Cyber SecurityUp to £495 per day (Inside IR35)London (3 days per week in London office)6 Months initial contractMy client is an instantly recognisable Insurance firm who are looking for a Data Scientist with demonstrable experience in Artificial Intelligence (AI) and Machine Learning (ML) accompanied with Python scripting skills to play a critical role in performing enhanced Risk assessments of where AI is being utilised, deemed to be a material risk to the organisation, and to propose appropriate controls.Key Requirements:Demonstrable experience in Data Science, with particular focus on Artificial Intelligence (AI) and Machine Learning (ML)Proficiency in Python / Bash scriptingAbility to perform enhanced Risk assessments of where AI is being utilisedCapability of proposing appropriate controls where material risk to the organisation is identifiedRecommend and improve existing Security risk assessment methodology for complex AI systemsDevelop threat models for AI systemsAbility to easily translate highly technical jargon and complex IT risks into business language for non-technical audiencesFlexible approach towards hybrid workingFull eligibility to work in the UK without restrictions (no sponsorship available)Nice to have:Demonstrable experience with LLMs and strong understanding of AI / ML frameworks and familiarity with TensorFlow / PyTorch etcDegree educated in Computer Science / AI related subjectsPrevious experience in the Insurance industryPrevious experience of working within Cyber Security environmentsWorking knowledge of SQL / Statistical Programming Languages such as RImmediate availabilityWhat you need to do now If you\’re interested in this role, click \’apply now\’ to forward an up-to-date copy of your CV, or call us now.If this job isn\’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C\’s, Privacy Policy and Disclaimers which can be found at hays.co.uk
Data Scientist - AI / ML, Python, Scripting, Cyber Security employer: LinkedIn
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LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - AI / ML, Python, Scripting, Cyber Security
✨Tip Number 1
Familiarise yourself with the latest trends in AI and ML, especially in the context of risk assessment. Being able to discuss recent developments or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Brush up on your Python and Bash scripting skills. Consider working on a small project or contributing to open-source projects that involve AI or ML to showcase your practical experience and problem-solving abilities.
✨Tip Number 3
Prepare to explain complex technical concepts in simple terms. Practice translating technical jargon into business language, as this will be crucial when discussing risk assessments with non-technical stakeholders.
✨Tip Number 4
Network with professionals in the insurance and cyber security sectors. Attend relevant meetups or webinars to connect with industry experts, which could provide valuable insights and potentially lead to referrals for the job.
We think you need these skills to ace Data Scientist - AI / ML, Python, Scripting, Cyber Security
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI, ML, and Python scripting. Use specific examples from your past work that demonstrate your ability to perform risk assessments and propose controls.
Craft a Strong Cover Letter: Write a cover letter that clearly outlines your relevant skills and experiences. Emphasise your understanding of the insurance industry and your ability to communicate complex technical concepts to non-technical audiences.
Showcase Relevant Projects: If you have worked on projects involving AI/ML or cyber security, include these in your application. Detail your role, the technologies used, and the outcomes achieved to showcase your practical experience.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects your attention to detail and professionalism, which is crucial for a Data Scientist role.
How to prepare for a job interview at LinkedIn
✨Showcase Your AI/ML Expertise
Be prepared to discuss your experience with Artificial Intelligence and Machine Learning in detail. Highlight specific projects where you've applied these technologies, focusing on the outcomes and any challenges you overcame.
✨Demonstrate Python Proficiency
Since Python scripting is crucial for this role, be ready to talk about your coding skills. You might even be asked to solve a problem or explain your thought process while coding, so brush up on your Python knowledge beforehand.
✨Understand Risk Assessment
Familiarise yourself with risk assessment methodologies, especially in the context of AI systems. Be prepared to discuss how you would identify and propose controls for material risks associated with AI usage.
✨Communicate Clearly
You’ll need to translate complex technical jargon into business language. Practice explaining your work in simple terms, as this will demonstrate your ability to communicate effectively with non-technical stakeholders.