At a Glance
- Tasks: Develop and deploy AI solutions for compliance, risk, and analytics.
- Company: Growing SaaS business with a focus on innovative AI projects.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on agile delivery and career development.
- Why this job: Make a real impact in AI while working with cutting-edge technologies.
- Qualifications: Experience in Data Science, ML models, and cloud platforms like AWS or Azure.
The predicted salary is between 45000 - 55000 € per year.
We’re supporting a growing SaaS business looking to hire a Data Scientist to help develop scalable ML and AI solutions across compliance, risk and contractor analytics platforms.
You’ll work closely with AI Engineers, Data Engineers and DevOps teams to build and deploy predictive models and LLM-powered solutions in production environments across AWS and Azure.
The Role
This is a hands-on opportunity to work on modern AI and machine learning initiatives that directly support operational performance, compliance and risk management. You’ll be involved in the full model lifecycle from data ingestion and feature engineering through to deployment, optimisation and monitoring.
Key Responsibilities:
- Develop machine learning models for risk scoring, churn prediction and contractor analytics
- Build LLM and NLP solutions for automated compliance checks and insight generation
- Deploy AI and ML models into cloud-based production environments
- Work with Microsoft Fabric for data ingestion, transformation and feature engineering
- Improve model monitoring, retraining and optimisation processes
- Collaborate closely with engineering and product teams in agile delivery squads
- Communicate technical solutions clearly to non-technical stakeholders
- Contribute to best practices around coding standards, maintainability and AI-assisted development
Tech Stack: Python, SQL, TensorFlow, PyTorch, AWS, Azure, Microsoft Fabric, NLP, LLMs, MLOps
What We’re Looking For:
- Strong commercial Data Science experience
- Experience building and deploying ML models into production
- Strong understanding of predictive modelling, NLP and LLM architectures
- Cloud experience with AWS and/or Azure
- Experience with Python, SQL and modern ML frameworks
- Strong communication and stakeholder management skills
- Ability to work collaboratively in agile engineering teams
Why Apply?
You’ll join a collaborative engineering environment working on genuinely impactful AI projects with modern tooling and cloud technologies. This is an opportunity to help shape the future direction of AI capability within a growing business while working on real-world applications of LLMs and predictive analytics.
Locations
Data Scientist in Newport, Wales employer: Yolk Recruitment Ltd
Join a dynamic SaaS company in Cardiff, where you'll thrive in a collaborative engineering culture that values innovation and teamwork. With opportunities for professional growth and the chance to work on cutting-edge AI projects, you'll be part of a team that is shaping the future of compliance and risk management. Enjoy the flexibility of a hybrid work model while contributing to meaningful solutions that have a real-world impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Newport, Wales
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning models and AI projects. We recommend using platforms like GitHub to share your work. This way, potential employers can see your expertise in action!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past projects. We suggest practicing common data science interview questions and even doing mock interviews with friends.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Plus, applying directly can sometimes give you a better chance of getting noticed by hiring managers.
We think you need these skills to ace Data Scientist in Newport, Wales
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine learning and AI, especially in relation to the responsibilities mentioned in the job description. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific examples of projects where you've built and deployed ML models. We love seeing real-world applications of your work, so don’t hold back on the details!
Communicate Clearly:Remember, you’ll need to explain technical concepts to non-technical stakeholders. Use clear language in your application to demonstrate your communication skills. We appreciate clarity just as much as 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. Let’s get started on this journey together!
How to prepare for a job interview at Yolk Recruitment Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in the tech stack mentioned in the job description. Brush up on Python, SQL, TensorFlow, and PyTorch. Be ready to discuss how you've used these tools in past projects, especially in deploying ML models.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data science projects. Highlight your approach to developing machine learning models for risk scoring or churn prediction, and how you tackled those problems. Real-world examples will make you stand out!
✨Communicate Clearly
Since you'll need to explain technical solutions to non-technical stakeholders, practice simplifying complex concepts. Think of ways to convey your ideas clearly and concisely, perhaps using analogies or visual aids if possible.
✨Collaborate and Engage
Demonstrate your ability to work in agile teams. Share experiences where you collaborated with AI Engineers, Data Engineers, or DevOps teams. Show that you value teamwork and can contribute to a positive engineering environment.
