At a Glance
- Tasks: Develop and deploy AI solutions for compliance, risk, and contractor analytics.
- Company: Growing SaaS business with a focus on innovative AI projects.
- Benefits: Competitive salary, hybrid work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on modern tooling and cloud technologies.
- Why this job: Make a real impact in AI while working with cutting-edge technologies.
- Qualifications: Experience in Data Science, ML model deployment, and strong communication skills.
The predicted salary is between 40000 - 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.
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
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 Newport employer: Yolk Recruitment Ltd
Join a dynamic SaaS company in Cardiff, where you'll be part of a collaborative engineering culture that values innovation and growth. As a Data Scientist, you'll have the opportunity to work on cutting-edge AI projects, with access to modern tools and cloud technologies, while benefiting from a supportive environment that encourages professional development and meaningful contributions to impactful solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Newport
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with potential colleagues 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 you a chance to demonstrate your expertise and makes you stand out when chatting with hiring managers.
✨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! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Data Scientist in Newport
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine learning models, predictive analytics, and cloud technologies like AWS and Azure. 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 and data science, and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills:When applying, make sure to mention your proficiency in Python, SQL, and any ML frameworks you’ve worked with. We’re keen on seeing examples of your work, so if you have a portfolio or GitHub, include that too!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at StudySmarter!
How to prepare for a job interview at Yolk Recruitment Ltd
✨Know Your Tech Stack
Make sure you’re familiar with the tools and technologies mentioned in the job description, like Python, SQL, TensorFlow, and AWS. Brush up on your knowledge of predictive modelling and NLP, as these will likely come up during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've developed and deployed ML models. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Communicate Clearly
Since you'll need to communicate technical solutions to non-technical stakeholders, practice explaining complex concepts in simple terms. This will show that you can bridge the gap between technical and non-technical teams effectively.
✨Collaborate and Engage
Highlight your experience working in agile teams and collaborating with engineers and product teams. Be prepared to discuss how you contribute to team dynamics and best practices, as this is crucial for the role.
