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 45000 - 55000 € 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
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
Desirable Experience
- Risk modelling or compliance analytics
- Supply chain or operational analytics
- MLOps and CI/CD pipelines
- Data governance or regulatory environments
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.
Data Scientist in Cardiff employer: Yolk Recruitment Ltd
Join a forward-thinking engineering company in Cardiff, where you'll thrive in a collaborative and innovative work culture that values your contributions to impactful AI projects. With opportunities for professional growth and development, you will be at the forefront of cutting-edge technology, working alongside talented teams in a hybrid environment that promotes work-life balance and flexibility.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Cardiff
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 models and projects. This is your chance to demonstrate your expertise in Python, SQL, and cloud technologies like AWS and Azure.
✨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 love seeing applications from passionate candidates who are eager to work on impactful AI projects. Your next big opportunity could be just a click away!
We think you need these skills to ace Data Scientist in Cardiff
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 tackled similar challenges in the past and how you can contribute 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 projects where you've deployed models into production.
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 in our collaborative engineering environment.
How to prepare for a job interview at Yolk Recruitment Ltd
✨Know Your Tech Stack
Familiarise yourself with the specific technologies mentioned in the job description, like Python, SQL, TensorFlow, and AWS. Be ready to discuss your experience with these tools and how you've used them in past projects.
✨Showcase Your Model Lifecycle Knowledge
Prepare to talk about your experience with the full model lifecycle, from data ingestion to deployment. Have examples ready that demonstrate your ability to optimise and monitor models in production environments.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You'll need to communicate effectively with non-technical stakeholders, so think of ways to make your explanations relatable and straightforward.
✨Collaborate and Contribute
Highlight your experience working in agile teams and your approach to collaboration. Be prepared to discuss how you contribute to best practices and coding standards, as well as how you handle feedback and adapt to team dynamics.
