At a Glance
- Tasks: Lead AI validation and governance, developing frameworks and guiding a team of Data Scientists.
- Company: Barclay Simpson, a leader in AI governance and validation.
- Benefits: Hybrid work environment, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team focused on enhancing AI governance standards.
- Why this job: Shape the future of AI while working with cutting-edge technology and senior stakeholders.
- Qualifications: Experience with Generative AI, LLMs, and strong communication skills.
The predicted salary is between 80000 - 100000 £ per year.
Barclay Simpson seeks an experienced AI specialist to lead AI validation and governance in London. This Vice President role involves developing LLM evaluation frameworks while guiding a team of Data Scientists. You will engage with senior stakeholders to enhance AI governance standards in a hybrid work environment.
Ideal candidates will have hands-on experience with Generative AI and LLMs, along with a talent for communicating technical concepts to non-technical audiences.
Strategic Lead, AI Validation & Governance employer: Barclay Simpson
Barclay Simpson is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a strong commitment to employee growth, we provide ample opportunities for professional development and mentorship, ensuring that our team members thrive in their careers. Our hybrid work environment promotes flexibility while engaging with senior stakeholders, making it a rewarding place for those passionate about AI governance and validation.
StudySmarter Expert Advice🤫
We think this is how you could land Strategic Lead, AI Validation & Governance
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Barclay Simpson.
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We think you need these skills to ace Strategic Lead, AI Validation & Governance
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Barclay Simpson, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Barclay Simpson. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Barclay Simpson
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Barclay Simpson!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
