At a Glance
- Tasks: Develop scalable machine learning solutions for compliance and risk analytics.
- Company: Join a growing engineering team at Yolk Recruitment in Cardiff.
- Benefits: Collaborative work environment with impactful AI projects.
- Other info: Opportunity to work in AWS and Azure environments.
- Why this job: Make a difference in risk and compliance using cutting-edge AI technology.
- Qualifications: Strong data science experience, predictive modelling, and NLP skills required.
The predicted salary is between 40000 - 50000 € per year.
Yolk Recruitment is seeking a Data Scientist to join a growing engineering team in Cardiff. This role involves developing scalable machine learning and AI solutions across compliance, risk, and contractor analytics platforms.
The ideal candidate will have strong experience in data science, a solid understanding of predictive modeling and natural language processing, as well as expertise in deploying solutions in AWS and Azure environments.
This position offers a collaborative work environment and impactful AI projects.
Applied ML Scientist (Hybrid) — AI for Risk & Compliance in Cardiff employer: Yolk Recruitment
Join a forward-thinking team in Cardiff where innovation meets collaboration. As an Applied ML Scientist, you'll not only work on impactful AI projects but also benefit from a supportive work culture that prioritises employee growth and development. With access to cutting-edge technology and a commitment to fostering talent, this role offers a unique opportunity to make a meaningful contribution in the field of risk and compliance.
StudySmarter Expert Advice🤫
We think this is how you could land Applied ML Scientist (Hybrid) — AI for Risk & Compliance in Cardiff
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to compliance and risk. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss predictive modelling and natural language processing in detail. Practising common interview questions can also help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Applied ML Scientist (Hybrid) — AI for Risk & Compliance in Cardiff
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data science, especially in predictive modelling and natural language processing. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI for risk and compliance. We love seeing candidates who can connect their personal interests with our mission.
Showcase Your Technical Skills:Don’t forget to mention your expertise in deploying solutions in AWS and Azure. We’re looking for someone who can hit the ground running, so highlight any specific projects or experiences that demonstrate your technical prowess.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Yolk Recruitment
✨Know Your ML Basics
Make sure you brush up on your machine learning fundamentals. Be ready to discuss predictive modelling and natural language processing in detail, as these are key areas for the role. Prepare examples of past projects where you've successfully applied these concepts.
✨Showcase Your Deployment Skills
Since the job involves deploying solutions in AWS and Azure, be prepared to talk about your experience with these platforms. Have specific examples ready that demonstrate how you've implemented machine learning models in cloud environments.
✨Collaborative Mindset
This role is all about teamwork, so highlight your collaborative experiences. Think of instances where you've worked closely with engineers or data scientists to solve complex problems. Show that you can communicate effectively and contribute to a team environment.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills in risk and compliance contexts. Practice articulating your thought process and decision-making strategies when faced with hypothetical challenges related to AI and data science.
