Data Scientist

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 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 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 Data Scientist role is based in our Derby offices on a hybrid basis, and offers the opportunity to work closely with Senior Data Scientists, engineers, and client teams in a collaborative, client‑focused environment. We offer a salary of up to £45k per annum, plus excellent benefits, and a strong opportunity to grow foundational data science skills while tackling real-world business challenges.

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