At a Glance
- Tasks: Build and run production-ready ML systems while collaborating with Data Scientists.
- Company: Intact Insurance, a leader in innovation and technology.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a forward-thinking team with excellent career advancement opportunities.
- Why this job: Shape the future of ML and drive real innovation in a dynamic environment.
- Qualifications: Strong experience with ML platforms and coding best practices required.
The predicted salary is between 80000 - 98000 £ per year.
Intact Insurance (previously RSA) is seeking a Machine Learning Engineer to help build and run production-ready ML systems. You will work closely with Data Scientists and engineering teams to shape the ML roadmap and drive innovation across the business.
The ideal candidate will have strong experience with ML platforms and coding best practices, as you'll be responsible for implementing scalable solutions and ensuring high-quality operational performance within a hybrid work model.
Production ML Engineer: Real-Time Pipelines & Scale employer: Intact Insurance (previously RSA)
Intact Insurance offers a dynamic and innovative work environment where Machine Learning Engineers can thrive. With a strong focus on collaboration, you'll have the opportunity to work alongside talented Data Scientists and engineers, driving impactful projects that shape the future of the business. Our hybrid work model promotes flexibility, while our commitment to employee growth ensures you have access to continuous learning and development opportunities.
Contact Details:
Intact Insurance (previously RSA) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Production ML Engineer: Real-Time Pipelines & Scale
✨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 Intact Insurance (previously RSA)!
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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 Production ML Engineer: Real-Time Pipelines & Scale at Intact Insurance (previously RSA).
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✨Apply Directly through Our Website
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We think you need these skills to ace Production ML Engineer: Real-Time Pipelines & Scale
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 Intact Insurance (previously RSA), 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 Intact Insurance (previously RSA). 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 Intact Insurance (previously RSA)
✨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 Intact Insurance (previously RSA)!
✨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.
