51 to 60 of 60 Pandas Jobs in London

team capability building Technical Stack Core: Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Gen2 SQL Server Databricks Enhancements: Python (PySpark, Pandas) CI/CD (Azure DevOps) Infrastructure as Code (Terraform, Bicep) REST APIs GitHub Actions Desirable: Microsoft Fabric Delta Live Tables Power BI dataset automation DataOps practices ...

maintain Python code for data processing, API development, and integration with the Azure Databricks environment. Utilise relevant Python libraries and frameworks (e.g., Flask, Django, Pandas, NumPy). Collaborate with cross-functional teams to build and enhance banking applications Work closely with UI/UX Designers to integrate visualizations seamlessly into ...

both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics. Knowledge of advanced football metrics (possession value models highly desirable ...

context) Must-have Strong analytical & problem-solving skills: Able to decompose messy, real-world problems and craft tailored solutions. Proficient in Python & data science: pandas/Polars, NumPy, scikit-learn, Jupyter, Plotly (or similar) Confident with data cleaning, analysis, transformation, and visualisation. Excellent communication: Advanced written and spoken English; concise … Actions), SQL/Postgres. TypeScript fluency: Able to read TS and collaborate on data contracts with the Command team. Our environment Python, Polars/pandas, NumPy, scikit-learn, Plotly, SQL/Postgres, NVIDIA cuOpt, HERE APIs, AWS (S3, ECS/Lambda, SNS/SQS), Docker, GitHub Actions, TypeScript/Node ...

Role: Python Backend Developer Skills: Python, Pydantic, PostgreSQL, Numpy, Pandas, Model: Hybrid Salary: up to £50,000 - 65,000 A Python Backend Engineer is needed to join growing software house in London who specialise in helping businesses reduce wasteful processes, costs and energy; and improve their ROI. sustainability meets profitability. … Comp Sci or STEM subject from a Top ranked University 3+ years of experience in Python development Tech: Python, FastAPI, Pydantic, PostgreSQL, Numpy, Pandas, AWS DevOps tools: Kubernetes, Docker,Terraform, Jenkins Very strong software engineering principles Enthusiasm for startup environment and cross-functional teams Passion for automation and data infrastructure ...

wants to make a visible impact in a rapidly expanding business. Key Responsibilities Develop, maintain, and optimise Python‐based data pipelines and analytical tools (Pandas, NumPy, scikit‐learn). Build automated workflows to streamline data ingestion, validation, transformation, and reporting. Apply AI/ML techniques (forecasting, anomaly detection, NLP, classification … improve decision‐making speed. Create dashboards, visual analytics, and data‐driven summaries for stakeholders across the business. Skills & Experience Required Strong proficiency in Python (Pandas, NumPy; ML frameworks beneficial). Experience building automated data workflows, pipelines, or ETL processes. Exposure to machine learning, AI, or advanced analytics (time‐series, anomaly ...

excellence and mathematical rigour sit at the heart of everything they do. The environment is intellectually stimulating, with real ownership, modern tooling (such as Pandas, SciPy, NumPy), and the chance to work on complex, meaningful challenges at scale. The Senior Python Software Engineer will design and build high-performance analytics … Will Need • 5+ years’ Python development experience • Strong mathematical or statistical modelling background • Experience building production-grade analytical software • Knowledge of tools such as Pandas, SciPy, NumPy, SQL and cloud platforms with tools such as Kubernetes and Docker. Why You’ll Love It • Flexible hybrid or fully remote working options ...

React 18 + TypeScript 5 prototype already exists; the core challenge is connecting it to real customer data via our proprietary data pipeline, orchestrating pandas DataFrames through stock projection, gate filtering and attribute resolution. Engagement details 3-month exclusive contract or short-term employment Remote Opportunity for follow-up projects …/full-time hire Required qualifications: Strong Python backend development with deep Django and Pandas knowledge Experience with customer-facing data products Methodical data pipeline debugging Rigorous self-QA, verifying correctness against business logic, not just confirming code runs Bonus qualifications: Comfortable reading & reviewing React/TypeScript SSE/WebSocket ...

biggest and most recognised names in Investment Management and Trading. Your key responsibilities in this role will be: Using SQL and Python (Pandas) to pull and analyse Digital Assets and Cryptocurrency market data from different sources Leveraging Cryptocurrency data and insights to produce deeply valuable and engaging written thought leadership … understanding of the cryptocurrency/DeFi world either commercially or through deep personal research Strong data manipulation and analytical experience with SQL and Python (Pandas) with a proven ability to derive insights from complex datasets An exceptional ability and proven experience of write engaging and thought-provoking research publications from ...

breaks, validate behaviour, and assess downstream impacts. Provide subject-matter guidance to technology, operations, and trading teams. Technical & Data Analysis Use SQL and Python (pandas) to analyse datasets, validate outputs, and support decision-making. Leverage Jupyter Notebook or similar tools for structured investigation of trade, position, and fee data. Produce … risks, milestones, and system health. Required Skills & Experience Technical Competency Strong SQL, capable of writing complex analytical queries. Hands-on Python experience, particularly with pandas for data analysis. Proficiency with Jupyter Notebook or equivalent analytical tooling. Familiarity with multi-system data flows and large, structured datasets. Functional Domain Knowledge Deep ...