Details:
- Salary: £60,000 - 70,000 - Annum
- Job Type: Permanent
- Job Status: Full-Time
- Salary Per: Annum
- Location: Cardiff
- Date: 3 weeks ago
Description:
Data Scientist | Cardiff / Hybrid | Engineering | AI & Predictive Analytics
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.
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
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