11 of 11 Permanent Pandas Jobs in Manchester

years as a Data Scientist, Hands-on experience deploying ML models to production, not just research-level familiarity, Strong proficiency in Python (NumPy, pandas, scikit-learn, matplotlib, pytorch), Understanding of Windows or Linux software development platforms Excellent command of English – both written and spoken (international client communication, presentations), Expertise ...

computer vision, machine learning, or statistical modeling, Practical experience with ML model deployment (on cloud or on-premise), Solid programming skills in Python (NumPy, pandas, scikit-learn, matplotlib, PyTorch or TensorFlow), Understanding of Windows or Linux software development platforms Good understanding of statistics and data preparation, Working knowledge ...

more of the following technological areas: Analytics & Platform Frameworks Orchestration like Airflow or AWS Glue Database Technologies Data processing libraries & Schema Management tools like Pandas and Pydantic Storage Formats: Familiarity with data types such as JSON and Parquet DevOps and DataOps Experience of IaC tools, particularly Terraform Understanding of implementing ...

Strong understanding of OOP concepts, design patterns, SOLID principles, algorithms, data structures, and ability to write clean, maintainable code Backend Development – Proficiency in Python (Pandas, FastAPI, Flask) for building enterprise applications, data processing and API development Database Technologies – Hands‐on experience with RDBMS databases (e.g., Oracle, PostgreSQL) and NoSQL databases ...

Strong understanding of OOP concepts, design patterns, SOLID principles, algorithms, data structures, and ability to write clean, maintainable code • Backend Development – Proficiency in Python (Pandas, FastAPI, Flask) for building enterprise applications, data processing, and API development • Frontend Development – Experience with ReactJS , Node.js, TypeScript/JavaScript, and modern web development practices ...

Extensive experience with traditional ML algorithms, Deep Learning frameworks, and complex time‐series forecasting. Experience developing production‐grade Python code: High proficiency in Python, Pandas, and modern software practices (testing, clean code, code review, CI/CD). Data & Pipeline Expertise: Hands‐on experience optimizing data models and access patterns ...

Strong knowledge of modern data science and machine learning techniques, including supervised and unsupervised learning. Proficiency in the Python data science ecosystem (e.g. NumPy, Pandas, scikit‐learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands‐on experience with Natural Language Processing, graph ...

learning models. Engage with senior stakeholders and contribute to business development initiatives. Provide thought leadership through industry engagement and innovation. Requirements Strong Python, SQL, Pandas, Scikit-Learn and Spark experience. Experience delivering real-world AI and machine learning systems. Understanding of statistics and machine learning methodologies. Experience with cloud platforms ...

Lakes, Blob Storage, Lakehouses and Data Modelling concepts (Kimball, star schemas) Strong ability to write Python code, including experience with data manipulation libraries (PySpark, Pandas etc) Strong ability to write SQL queries for data retrieval and manipulation Strong problem-solving skills to address and resolve data-related issues. Effective communicator ...

datasets Strong SQL proficiency (e.g., PostgreSQL, MySQL, SQL Server) to extract, transform, and optimize data for reporting and operational use Hands-on Python experience (Pandas, NumPy) for data manipulation and analysis, supporting scalable data workflows Understanding of data architecture, data modeling, and ETL processes to ensure efficient data integration ...

doing for you. Environments and dependencies another developer can rebuild from the repository. Git in daily use. Useful, not required Data work with pandas or similar, for reporting and analysis. Docker, Linux and the basics of running what you build. #J-18808-Ljbffr ...