At a Glance
- Tasks: Lead AI transformation projects and modernise data pipelines with cutting-edge technologies.
- Company: Join UST, a forward-thinking company driving innovation in AI and data architecture.
- Benefits: Enjoy a competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative team environment with exciting challenges and career advancement opportunities.
- Why this job: Make a real impact in the AI space while working with advanced data technologies.
- Qualifications: Experience in Python, PySpark, AWS Glue, and proven technical leadership in regulated environments.
UST is seeking a Data Engineering & Agentic AI Architect for a permanent role aimed at leading an AI transformation project. This hybrid position requires 3 days in the office in London, focusing on modernising data pipelines using Agentic AI technologies.
The successful candidate will guide complex data transformation programmes, leveraging skills in Python, PySpark, and AWS Glue. Proven technical leadership and experience in large, regulated environments are essential.
Join UST to drive innovation in AI and data architecture.
Agentic AI Data Architect | Cloud Data Pipelines & Spark in Nottingham employer: UST
UST is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for professionals eager to lead transformative AI projects. With a focus on employee growth, UST offers robust training programmes and opportunities to work with cutting-edge technologies in a dynamic London environment. Enjoy the benefits of a hybrid work model, competitive compensation, and a supportive team dedicated to driving meaningful change in the data landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Agentic AI Data Architect | Cloud Data Pipelines & Spark in Nottingham
✨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 UST!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Agentic AI Data Architect | Cloud Data Pipelines & Spark at UST.
✨Leverage Professional Networks
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 UST.
✨Apply Directly through Our Website
When you find a suitable opening like Agentic AI Data Architect | Cloud Data Pipelines & Spark at UST, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Agentic AI Data Architect | Cloud Data Pipelines & Spark in Nottingham
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 UST, 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 UST. 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 UST
✨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 UST!
✨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.
