City of London, London, England, United Kingdom Hybrid / WFH Options
Atrium Workforce Solutions Ltd
grow your technical capabilities in a collaborative environment, this is an excellent opportunity to take the next step in your career. Essential Solid programming knowledge with Python Experience using Pandas, NumPy, Matplotlib, and PyTorch Strong understanding of SQL for querying and data manipulation Familiarity with CI/CD workflows and Git version control Detail-oriented and proactive problem solver Enthusiastic More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Datatech Analytics
It’s a hands-on, end-to-end role, working with both structured and unstructured data in a collaborative, fast-paced team. What We’re Looking For Strong Python (pandas, sklearn, etc.) and advanced SQL Experience building behavioural or credit models Good grasp of ML algorithms, not just how to run them Clear communicator across technical and non-technical teams More ❯
Central London, London, United Kingdom Hybrid / WFH Options
Singular Recruitment
Data Scientist, your background will include: 3+ years industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g. More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Kantar Media
working in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience (or strong interest) in GPU-powered model development (e.g. using PyTorch More ❯
