12 of 12 Pandas Jobs in Central London

scalable SaaS platform. Any other ad hoc duties that may be required from time to time Technical Requirements: Proven experience with Python, especially Pandas and NumPy Mastery of SQL and PostgreSQL: schema design, complex queries, indexing and performance optimisation, beyond basic querying Experience with pipeline orchestration and scheduling Proven ability ...

data engineer and a strong passion to learn. BS/MS in Computer Science or equivalent experience in related fields. Experience in Python, Pandas, PySpark, and Notebooks. SQL knowledge and experience working with relational databases including schema design, access patterns, query performance optimization, etc. Experience with data pipeline technologies like ...

applying causal inference techniques (e.g., diff-in-diff, IV, matching) where randomization is impractical Fluency in Python and core data/ML libraries (pandas, NumPy, scikit-learn, PyTorch or TensorFlow), combined with solid software engineering practices (clean code, testing, version control, code review) Proficient with large-scale data : strong ...

Requirements Essential Expert Python, with deep hands-on PyTorch experience (TensorFlow also welcome) and the surrounding ecosystem: Hugging Face Transformers, timm, scikit-learn, NumPy, pandas, OpenCV. Production experience on AWS, specifically Amazon SageMaker: training and processing jobs, pipelines, model registry, endpoints. Practical MLOps: experiment tracking and model versioning with MLflow ...

Forest, XGBoost, etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) < Strong knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib) Strong software development skills (Python is the preferred language) Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow Strong management ...

Publisher: Build interactive OAS dashboards, analyses, and BI Publisher data models, layouts, bursting, and automated schedules. Python Automation: Design production-grade Python scripts (pandas, oracledb, SQLAlchemy, openpyxl, etc.) to replace Access macros, automate extraction, and deliver automated report packs. Testing & Delivery: Conduct parallel runs, complete data reconciliation, establish rollback plans ...

source of truth for commissions, sales performance analytics, and reporting. Practical experience with script‐based reconciliation or automation tools such as VBA, Python/Pandas, SQL, Alteryx, or equivalent methods to rapidly reconcile large dataset pipelines and identify calculation or data integrity issues. Proven track record establishing and enforcing data ...

Publisher: Build interactive OAS dashboards, analyses, and BI Publisher data models, layouts, bursting, and automated schedules. Python Automation: Design production-grade Python scripts (pandas, oracledb, SQLAlchemy, openpyxl, etc.) to replace Access macros, automate extraction, and deliver automated report packs. Testing & Delivery: Conduct parallel runs, complete data reconciliation, establish rollback plans ...

quantitative data role, ideally within financial data or asset management. Strong Python and SQL skills; comfortable manipulating large, wide and messy datasets (e.g. pandas, relational databases). Demonstrated experience in data cleaning, validation and quality assurance. Strong exploratory data analysis skills - able to quickly make sense of an unfamiliar dataset ...

experience working within financial services, banking, fintech, payments, risk management, or e-commerce environments. 3+ years of experience performing advanced analytics using Python (including pandas, scikit-learn, and matplotlib), R, or similar analytical tools. Strong proficiency with SQL and Excel for data analysis, reporting, and performance monitoring. Experience investigating fraud ...

quantitative data role, ideally within financial data or asset management. Strong Python and SQL skills; comfortable manipulating large, wide and messy datasets (e.g. pandas, relational databases). Demonstrated experience in data cleaning, validation and quality assurance. Strong exploratory data analysis skills — able to quickly make sense of an unfamiliar dataset ...

team evolves Skills & Experience: 1-3 years' Data Science experience, or equivalent demonstrated experience through graduate work, projects or competitions Strong Python skills, particularly pandas and NumPy Strong SQL skills, including CTEs, window functions and aggregation A solid understanding of applied statistics, including hypothesis testing and confidence intervals MMM (Marketing ...