At a Glance
- Tasks: Develop and deploy AI solutions for compliance, risk, and contractor analytics.
- Company: Growing engineering business with a focus on innovative AI projects.
- Benefits: Hybrid work model, competitive salary, 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 50000 - 70000 € per year.
We're supporting a growing engineering 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.
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
- Python
- SQL
- TensorFlow
- PyTorch
- AWS
- Azure
- Microsoft Fabric
- NLP
- LLMs
- MLOps
- 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
- Risk modelling or compliance analytics
- Supply chain or operational analytics
- MLOps and CI/CD pipelines
- Data governance or regulatory environments
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.
Data Scientist in City in Wales employer: Yolk Recruitment
Join a forward-thinking engineering business in Cardiff, where you'll thrive in a collaborative and innovative work culture that values your contributions to impactful AI projects. With a focus on employee growth, we offer opportunities for professional development and hands-on experience with cutting-edge technologies in a hybrid working environment. Enjoy the unique advantage of shaping the future of AI capabilities while working alongside talented teams dedicated to excellence in compliance and risk management.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in City in Wales
✨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 projects, especially those involving ML models or AI solutions. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like 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 Data Scientist in City in Wales
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Scientist role. Highlight your experience with ML models, cloud platforms like AWS or Azure, and any relevant projects you've worked on.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and predictive analytics. Share specific examples of how you've contributed to similar projects in the past and how you can bring value to our team.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Python, SQL, and any ML frameworks you've used. We want to see your hands-on experience, so include details about the models you've built and deployed.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Yolk Recruitment
✨Know Your Tech Stack
Make sure you’re familiar with the tools mentioned in the job description, like Python, SQL, TensorFlow, and AWS. Brush up on your knowledge of predictive modelling and NLP techniques, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built and deployed ML models. Highlight your role in the full model lifecycle, from data ingestion to optimisation. This will demonstrate your hands-on experience and understanding of the processes involved.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to communicate effectively with non-technical stakeholders, so being able to break down your work into digestible pieces is key. Think about how you can convey your ideas clearly and confidently.
✨Collaborate and Engage
Be ready to discuss how you’ve worked in agile teams before. Share examples of how you’ve collaborated with engineers and product teams. This shows that you’re a team player and can thrive in a collaborative environment, which is crucial for this role.
