At a Glance
- Tasks: Support data quality and AI monitoring to ensure reliable operations.
- Company: Join Ardonagh Specialty, a leader in data management.
- Benefits: Gain valuable experience in a dynamic environment with potential for growth.
- Other info: Collaborate with diverse teams in a regulated environment.
- Why this job: Make an impact on AI governance while developing your analytical skills.
- Qualifications: Strong SQL/Python skills and experience with data quality tools required.
The predicted salary is between 45000 - 55000 £ per year.
Ardonagh Specialty in London is seeking a Data Management Analyst – AI Governance for a 12‑month fixed term.
You will provide flexible analytical support across data quality, metadata development, and AI monitoring to help ensure well-governed data and reliable AI operations.
Role requires strong SQL/Python skills, experience with data quality tooling, and familiarity with regulated environments.
You will collaborate with DPO, Risk & Compliance, Digital, and business stakeholders.
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AI Governance & Data Quality Analyst employer: Ardonagh Specialty
At Price Forbes Re, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. Our commitment to employee growth is evident through tailored development programmes and opportunities to lead significant client accounts, ensuring that every team member can thrive in their career while contributing to our high service standards in the reinsurance sector.
StudySmarter Expert Advice🤫
We think this is how you could land AI Governance & Data Quality Analyst
✨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 Ardonagh Specialty.
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We think you need these skills to ace AI Governance & Data Quality Analyst
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 Ardonagh Specialty, 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 Ardonagh Specialty. 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 Ardonagh Specialty
✨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 Ardonagh Specialty!
✨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.
