Salary: £35,000 - 45,000 per year Requirements: Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field Strong proficiency in Python and key data science libraries (NumPy, pandas, scikit-learn, Matplotlib, Seaborn) Basic understanding of supervised and unsupervised learning algorithms (e.g., regression, classification, clustering) Knowledge of data querying and manipulation using SQL Familiarity with Jupyter Notebooks, Git, and version control workflows Strong analytical thinking and problem-solving skills Eagerness to learn, collaborate, and apply new technologies in real-world projects Experience with deep learning frameworks such as TensorFlow or PyTorch (preferred) Exposure to cloud platforms (AWS, GCP, or Azure) (preferred) Understanding of model evaluation and deployment best practices (preferred) Internship or project experience in machine learning, data analytics, or AI applications (preferred) Responsibilities: Support the design, development, and testing of machine learning models and data analytics solutions Perform data cleaning, preprocessing, and transformation using Python libraries such as pandas and NumPy Conduct exploratory data analysis (EDA) to identify trends, patterns, and correlations Assist in feature selection and engineering to improve model performance Evaluate model performance using metrics such as accuracy, precision, recall, F1-score, and ROC-AUC Help build and maintain automated data pipelines and model deployment scripts Collaborate with data engineers and senior data scientists to integrate models into production Create clear and concise data visualizations and communicate insights to technical and non-technical stakeholders Technologies: AI AWS Azure Cloud GCP Git Support Jupyter Machine Learning PyTorch Python SQL TensorFlow numpy pandas More: We are looking for a motivated and detail-oriented Junior Data Scientist with a strong foundation in Machine Learning and Python programming to join our Data Science team in London. In this role, you will assist in developing and deploying data-driven solutions that help shape business strategy and improve decision-making. We offer mentorship from experienced data scientists, opportunities to work on impactful real-world ML projects, access to cutting-edge tools and training resources, a competitive salary, and a supportive environment that encourages continuous learning and experimentation. last updated 5 week of 2026