At a Glance
- Tasks: Define enterprise AI data principles and ensure safe AI adoption.
- Company: Major UK Government Department focused on innovative data solutions.
- Benefits: Competitive salary, security clearance support, and impactful work.
- Other info: Opportunity to work on high-impact projects with career advancement potential.
- Why this job: Shape the future of AI in a regulated environment and make a difference.
- Qualifications: Experience in data architecture and understanding of security and governance.
The predicted salary is between 70000 - 90000 £ per year.
ISR Recruitment is assisting a major UK Government Department in sourcing a Data Architect (SFIA Level 5) to define enterprise AI data principles.
You will work across data, security, privacy and governance to align principles with risk controls and architecture standards.
The role involves reviewing existing artefacts, identifying gaps, and delivering practical recommendations to enable safe, responsible AI adoption within a regulated environment.
Security clearance may be required.
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Enterprise AI Data Architect employer: ISR Recruitment
As a leading player in the public sector digital transformation space, we offer an exceptional work environment for Quality Assurance Engineers looking to make a meaningful impact. Our remote working model allows for flexibility while collaborating with a multidisciplinary Agile team dedicated to delivering high-quality digital services. With a strong focus on employee growth and development, we provide opportunities to enhance your skills in cloud-based data platforms and contribute to significant government projects.
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise AI Data Architect
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like ISR Recruitment!
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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 ISR Recruitment.
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We think you need these skills to ace Enterprise AI Data Architect
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 ISR Recruitment, 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 ISR Recruitment. 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 ISR Recruitment
✨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 ISR Recruitment!
✨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.
