51 to 75 of 230 Permanent Pandas Jobs

good understanding of the underlying physical principles related to battery technology, electric vehicles, EV charging, and the energy sector. Python experience (numpy, streamlit, scipy, pandas, matplotlib, plotly, poetry, GIT, scikit-learn and other scientific libraries) Excellent mathematical, analytical and problem-solving ability Excellent professional communication, reporting and presentation skills Excel ...

equivalentEnd-to-end experience with data, including querying, aggregation, analysis, and visualizationStrong competencies in Python for data analysis using the python data science libraries (Pandas/NumPy/SciPy/Scikit-learn).Strong SQL skills for data retrieval, basic analysis, and data cleansing.Strong knowledge and application of object-oriented design ...

multi-threading (-s), worker processes, memory allocators, compression algorithms, and partitioned database maintenance. Languages & Frameworks: Strong proficiency in Python (including data science stack: Pandas, NumPy, and integration tools like embedPy, PyKX, or qPython). Solid understanding of Java interface programming with KDB+ and platform Familiarity with enterprise messaging middleware (Kafka ...

degree in Machine Learning, Statistics, Data Science, Physics, Computer Science, or a related field, or equivalent education and industry experience. Advanced Python proficiency with Pandas, NumPy, scikit‐learn, and PyTorch or TensorFlow; SQL and practical data preparation skills. Strong statistics, experimental design, hypothesis testing, ML validation, and applied classification, regression ...

role where you'll have the opportunity to work across backend development, large-scale data processing and cloud technologies. Technology Stack Essential Python FastAPI Pandas ETL Pipelines Docker Kubernetes Desirable Azure Databricks Angular Power BI Data Science or Machine Learning experience What They're Looking For Strong commercial Python development ...

through university projects, internships or personal projects. Experience with AWS or Google Cloud Platform. Knowledge of Docker and CI/CD concepts. Exposure to Pandas, NumPy, R or machine learning. Interest in scientific, healthcare, biotech or data-focused environments. Whether you're a recent graduate, have completed a placement year ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

production-grade backend systems at scale. Core Technical Skills Strong proficiency in Python as a primary backend language. Hands-on experience with FastAPI and Pandas for building data-driven API services. Solid experience with PostgreSQL - schema design, query optimization, and migrations. Experience with RabbitMQ or similar message brokers for asynchronous ...

frameworks, and deployment pipelines Solid foundations and understanding of production‐grade, cloud‐native platform and infrastructure requirements, design, and implementation. Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM‐based systems Ability to work with ambiguity and optimise non‐deterministic systems through a process of experimentation ...

life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps. Experience with data science Python libraries such as Scikit-learn, Pandas, NumPy, Pytorch etc. Comfortable working with Docker and containerised applications Experience using AWS or similar cloud computing platform Experience delivering machine learning solutions within regulated ...

insurance industry. Exposure to reinsurance, in particular casualty lines, would be a distinct advantage. Excellent Python skills, with demonstrable, production-quality experience using pandas and related libraries for data cleansing, transformation and automation. Experience with Git and collaborative development workflows. Strong SQL, with practical experience of designing relational database schemas ...

products. (We typically use Heroku, but experience with AWS, GCP or others is very welcome.) Experience using Python libraries for data analysis, such as pandas, scikit, numpy, nltk, matplotlib, jupyter. Ability to communicate effectively on both technical and non-technical levels, and to cultivate a supportive environment for more junior ...

professional experience building quantitative trading tools, models, or analytics in a financial or commodities setting Strong Python skills in a scientific computing environment (numpy, pandas, scipy, statsmodels or similar) Solid grounding in statistics, time series analysis, and data modeling; machine learning experience is a plus Experience building data pipelines ...

life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps.- Experience with data science Python libraries such as Scikit-learn, Pandas, NumPy, Pytorch etc.- Comfortable working with Docker and containerised applications- Experience using AWS or similar cloud computing platform- Experience delivering machine learning solutions within regulated ...

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 ...

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 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 ...

decisions. Knowledge of foundational model systems and frameworks/best practices for building agents. Experience using Python and common data science libraries such as pandas, scikit-learn, NumPy and visualisation frameworks. Strong SQL skills with experience querying and transforming large datasets, ideally using platforms such as BigQuery, Snowflake, or similar ...

least one primary backend language: Java (Modern Java, Spring Boot, concurrency, low-latency tuning, GC optimization), OR Python (Modern Python, asynchronous programming, NumPy/Pandas, FastAPI), OR .NET/C# (Modern .NET Core, multi-threading, asynchronous I/O, memory profiling). Distributed Systems & Messaging: Strong experience with enterprise messaging ...

degree in Machine Learning, Statistics, Data Science, Physics, Computer Science, or a related field, or equivalent education and industry experience. Advanced Python proficiency with Pandas, NumPy, scikit-learn, and PyTorch or TensorFlow; SQL and practical data preparation skills. Strong statistics, experimental design, hypothesis testing, ML validation, and applied classification, regression ...

Full Time Location : Derby, Derbyshire, United Kingdom What we're looking for Strong Python development experience, ideally with exposure to libraries such as NumPy, Pandas or Scikit-learn. Experience building data pipelines and working with structured and unstructured data. Experience working with AWS services such as S3, Lambda ...

infrastructure to support data and application workloads What We're Looking For Strong Python development experience, ideally with exposure to libraries such as NumPy, Pandas or Scikit-learn. Experience building data pipelines and working with structured and unstructured data. Experience working with AWS services such as S3, Lambda ...

Python and SQL Strong foundation in mathematics and statistics Proficiency in Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy) Knowledge of data analysis techniques, such as statistical modelling and visualisation, to draw insight from data Familiarity with Git as part of the development process ...