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Graduate ai data scientist

London
Data scientist
£42,000 - £45,000 a year
Posted: 19h ago
Offer description

Salary: £42,000 - 45,000 per year Requirements: Basic understanding of statistics, data analysis, and machine learning concepts (e.g., regression, classification, clustering) Exposure to data preprocessing, cleaning, and feature engineering (e.g., through academic or personal projects) Ability to work with structured and unstructured data at a foundational level Awareness of ethical considerations in AI Degree in Computer Science, Mathematics, Statistics, Data Science, or a related discipline — or equivalent practical experience Good communication skills with the ability to explain concepts clearly Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) (desirable) Basic knowledge of SQL and working with databases (desirable) Awareness of cloud platforms such as AWS, Azure, or Google Cloud (desirable) Understanding of AI ethics, data privacy, and compliance considerations (desirable) Experience with Python and data science libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib (desirable) Responsibilities: Assist in collecting, processing, and analyzing datasets from various sources Support the development, training, and validation of machine learning models Perform exploratory data analysis to identify trends, patterns, and insights Collaborate with data engineers, machine learning engineers, and product teams Help communicate findings and model results to both technical and non-technical stakeholders Stay up-to-date with the latest developments in AI, machine learning, and data science Technologies: AI AWS Azure Cloud Support Machine Learning PyTorch Python SQL TensorFlow numpy pandas More: We are a growing company working in the AI and data space based in London, hiring Graduate AI Data Scientists. This entry-level opportunity is ideal for recent graduates or early-career candidates looking to start a career in AI and data science. We offer a starting salary of £42,000 per annum, comprehensive in-house training, exposure to real-world AI projects, a supportive work environment, flexible work options, and clear career development paths with ongoing mentorship. last updated 20 week of 2026

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