At a Glance
- Tasks: Lead the strategy for data and AI platforms, ensuring security and scalability.
- Company: Join QBE, a global leader in data innovation and technology.
- Benefits: Enjoy flexible working options and a solid pension plan with employer contributions.
- Other info: Be part of a dynamic team focused on operational reliability and compliance.
- Why this job: Drive transformational initiatives and make a significant impact in the data landscape.
- Qualifications: Proven leadership experience in data platforms and strong strategic skills.
The predicted salary is between 80000 - 120000 £ per year.
QBE is seeking a Head of Data & AI Platforms & Engineering to join the Global Data team in London. This senior leadership position focuses on establishing secure and scalable data and AI platforms, ensuring operational reliability and compliance. The successful candidate will own the strategy for data platforms, lead transformational initiatives, and manage third-party vendors. Benefits include flexible working options and a pension plan with employer contributions.
Lead, Data & AI Platforms & Engineering employer: QBE
QBE is an excellent employer that fosters a dynamic and inclusive work culture, offering flexible working options to support a healthy work-life balance. Employees benefit from a robust pension plan with employer contributions and have ample opportunities for professional growth within the innovative field of data and AI. Joining our London team means being part of a forward-thinking organisation that values collaboration and transformation in the ever-evolving data landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Lead, Data & AI Platforms & Engineering
✨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 QBE!
✨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 Lead, Data & AI Platforms & Engineering at QBE.
✨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 QBE.
✨Apply Directly through Our Website
When you find a suitable opening like Lead, Data & AI Platforms & Engineering at QBE, 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 Lead, Data & AI Platforms & Engineering
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 QBE, 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 QBE. 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 QBE
✨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 QBE!
✨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.
