At a Glance
- Tasks: Build and operate a reliable data platform for analytics, CRM, and ML.
- Company: Join MONY Group plc, a forward-thinking company focused on innovation.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Other info: Be part of a dynamic team that values curiosity and engineering judgement.
- Why this job: Make a real impact by evolving capabilities and automating processes.
- Qualifications: Hands-on experience in data/platform engineering and a passion for automation.
The predicted salary is between 67500 - 82500 £ per year.
MONY Group plc is seeking a hands-on data/platform engineer to build and operate a reliable data platform that powers analytics, CRM and ML across the group.
You will help operate the platform and evolve capabilities used by multiple teams.
We value engineering judgement, curiosity, and the ability to apply automation responsibly to real delivery challenges.
A focus on secure, observable systems and reducing toil will define success in this role.
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Cloud Data Platform Engineer – AI‑Driven Automation in London employer: MONY Group plc
MONY Group plc is an exceptional employer, offering a dynamic work environment in Greater London where innovation and collaboration thrive. With a strong focus on employee growth, we provide competitive benefits, including generous holiday allowances and pension contributions, alongside ample opportunities for professional development. Join us to lead a high-performing team in the Motor channel and make a meaningful impact in the Insurance industry.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Data Platform Engineer – AI‑Driven Automation in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Cloud Data Platform Engineer – AI‑Driven Automation in London
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 MONY Group plc, 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 MONY Group plc. 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 MONY Group plc
✨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 MONY Group plc!
✨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.
