9 of 9 Pandas Jobs in Central London

visualization tools e.g. PowerBI or Tableau Data extraction and manipulation languages e.g. SQL, Python Knowledge of statistical software and packages such as R, Matlab, Pandas, NumPy or SciPy Experience with algorithmic trading systems and low-latency trading Knowledge of financial markets is desirable but experience of working in other "big More ❯

e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI model More ❯

e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI model More ❯

e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI model More ❯

of experience in Python development, ideally within financial services, asset management, or private credit. Expert proficiency in Python and frameworks such as: Flask, Django, Pandas, NumPy. Strong experience in financial modelling and optimising asset management systems using Python. Master's in computer science or a similar qualification. Expertise in cloud More ❯

Required Skills/Experience The ideal candidate will have the following: Experience in analytics or model/data engineering. Advanced Python skills (Numpy/Pandas). Strong SQL and relational database design expertise. Excellent communication skills. Benefits & Perks £6,000 per annum training & conference budget to help you up-skill More ❯

confidently to key stakeholders. We're Looking For Someone Who Has: Proficiency in front-end technologies (e.g., JavaScript, React). Strong skills in Python (Pandas, APIs, etc.). Experience with version control systems, preferably Git. Understanding of cloud services and deployment (e.g., Azure). Familiarity with Agile development practises. An More ❯

convolution, attention). Proficiency in Python programming language Expertise in a programming language (Python preferred) Familiar with data processing and analysis tools such as Pandas, NumPy, Scikit-learn, etc. Knowledge of machine learning concepts such as supervised and unsupervised learning, classification, regression, clustering, dimensionality reduction, etc. Experience with applying machine More ❯

hear from you. What Youll Do Design, build, and maintain Python services that power critical financial workflows. Work with modern data processing tools like pandas and polars to transform and analyze large datasets. Build async Python services using asyncio , and develop event-driven systems integrating AWS services (Lambda, SQS, EventBridge … Pythons standard library and familiarity with modern idioms (e.g., dataclasses , type annotations , async/await ). Experience with data transformation and analysis libraries like pandas or polars. Comfortable writing unit and integration tests with pytest . Practical experience with PostgreSQL (or another relational database), and understanding of schema design and … and impact Opportunities to shape the technical direction and engineering culture as we grow Our Tech Stack Languages: Python (3.10+), SQL Frameworks/Libraries: pandas, polars, dataclasses, asyncio, pytest Data: PostgreSQL, AWS S3 Infrastructure: AWS (Lambda, ECS, SQS, EventBridge), Docker, Terraform CI/CD: GitHub Actions, pre-commit, mypy, flake8 More ❯