Salary: £37,000 - 45,000 per year
Requirements
- Proficiency in Python or R for data analysis and modelling.
- Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
- Strong understanding of data wrangling, statistics, and exploratory data analysis.
- Excellent collaboration and communication skills.
- Familiarity with data visualisation tools such as matplotlib, seaborn, Tableau, or Power BI.
- Familiarity with cloud platforms such as AWS, Azure, or GCP, and data engineering practices.
- Knowledge of SQL and database querying.
- Understanding of model deployment techniques and MLOps.
- Awareness of AI ethics, fairness, and data privacy.
- A relevant BSc or MSc in Data Science, Computer Science, Statistics, or a related field would be beneficial.
Responsibilities
- Develop, test, and deploy machine learning models and analytics solutions.
- Clean, process, and analyse structured and unstructured data from diverse sources.
- Conduct exploratory data analysis to identify meaningful patterns and insights.
- Collaborate with senior colleagues and stakeholders to understand business challenges and define requirements.
- Create clear and effective documentation and visualisations for both technical and non-technical audiences.
- Contribute to improving data science workflows through participation in code reviews and best practice development.
- Monitor and maintain model performance, including retraining and validation.
Technologies
- AI
- AWS
- Azure
- Cloud
- GCP
- Machine Learning
- Power BI
- PyTorch
- Python
- SQL
- Tableau
- TensorFlow
More
We are a leading technology and services business at the forefront of delivering transformational AI solutions. This is a hybrid role based in our Derby offices, and we offer a salary of up to £45k per annum plus excellent benefits. You will work closely with Senior Data Scientists, engineers, and client teams in a collaborative, client-focused environment, with a strong opportunity to grow your foundational data science skills.
last updated 30 week of 2026