776 to 800 of 1,112 Permanent Pandas Jobs

of supervised and unsupervised learning, deep learning (CNNs, RNNs, GANs), and reinforcement learning. Data Handling: Proficient in data manipulation and analysis using tools like Pandas, NumPy, and SQL. Experience working with large datasets. Category: Software About the Organization: ioMosaic is an integrated process safety and risk management consulting firm focused More ❯

or AWS Sagemaker for interactive data analysis and model development. Strong proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy and Statsmodels. Expertise in time series forecasting techniques, such as RNNs, LSTMs and GRUs. Knowledge of Grafana (or similar tools) and experience in developing More ❯

and hyperspectral imaging techniques Required Skills: Proficiency in Python programming for algorithm development and data analysis. Proficiency in scientific computing libraries (e.g., NumPy, SciPy, Pandas, Matplotlib). Expertise in IR spectroscopy and spectral signature analysis. Experience designing and implementing processing chains for scientific or technical applications. Strong analytical and problem More ❯

through written reports and presentations Organisational skills (e.g. planning, time management) Excellent Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy) and at least one deep learning framework Strong SQL for data analysis and manipulation Strong problem-solving and analytical skills, with high attention to More ❯

science, or a related field Strong analytical and problem-solving skills Confidence writing and working with SQL Competency in Python for data analysis (e.g. pandas, NumPy) Familiarity with financial concepts and a desire to learn more Attention to detail and an ability to work independently Comfortable working in a fast More ❯

in Python with experience in C++ development Experience with Linux operating systems (e.g. Red Hat, Ubuntu) Experience with data analysis and manipulation tools (e.g. Pandas) Experience working across the Software Development Lifecycle (SDLC) Experience of using the Unified Modelling Language Excellent communication skills Desirable: Experience in the development of computer More ❯

in Python with experience in C++ development Experience with Linux operating systems (e.g. Red Hat, Ubuntu) Experience with data analysis and manipulation tools (e.g. Pandas) Experience working across the Software Development Lifecycle (SDLC) Experience of using the Unified Modelling Language Excellent communication skills Desirable: Experience in the development of computer More ❯

in Python with experience in C++ development Experience with Linux operating systems (e.g. Red Hat, Ubuntu) Experience with data analysis and manipulation tools (e.g. Pandas) Experience working across the Software Development Lifecycle (SDLC) Experience of using the Unified Modelling Language Excellent communication skills Desirable: Experience in the development of computer More ❯

development, job scheduling, and integration with other AWS services (e.g., S3, Glue). Proficiency in Python and experience with relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn) and Databricks-specific tools (e.g., Delta Tables, MLflow). Solid understanding of Machine Learning concepts and experience deploying models in production environments. More ❯

and machine learning fundamentals - either through a STEM degree, formal training, or self-study. Fluency in Python and SQL, including experience with libraries like Pandas, Scikit-learn, or equivalent. Demonstrated ability to solve real-world problems pragmatically using data. Clear, structured communication - especially the ability to explain complex topics simply. More ❯

a provider. Experience with different external data providers mainly SIX and Bloomberg Familiar with Oracle-DB, SQL and PL-SQL Familiar with Python and Pandas Experience in Unix System Management and JBoss Experience in Configuration Management and Deployment Automation especially with Bitbucket, Nexus, Jenkins, Octopus Familiar to work in an More ❯

e.g. Random Forests, CatBoost, LXGM, ...) Image Recognition Optical Character Recognition (OCR) Motion Capture Proficient in Python, R or C++, including relevant libraries (numpy, pandas, matplotlib, Scikit-learm, tensorflow, etc...). Proficient in a range of database protocols (e.g. SQL, noSQL). Develop testing routines or procedures. Building customer and More ❯

e.g. Random Forests, CatBoost, LXGM, ...) Image Recognition Optical Character Recognition (OCR) Motion Capture Proficient in Python, R or C++, including relevant libraries (numpy, pandas, matplotlib, Scikit-learm, tensorflow, etc...). Proficient in a range of database protocols (e.g. SQL, noSQL). Develop testing routines or procedures. Building customer and More ❯

regular agile ceremonies, with your workflow supported by Jira. Qualifications Skill requirements: • At least 3 years of programming with Python, including extensive experience with Pandas for data manipulation and analysis • Solid understanding of Hadoop ecosystem • Ability to analyze complex datasets and extract actionable insights • ETL pipeline development • Familiarity with machine More ❯

of cyber security principles, including threat detection, incident response, and security operations. Technical Expertise: Proficiency in Python, SQL, and relevant data science libraries (e.g., pandas, scikit-learn, TensorFlow) and experience working with SIEM tools like Splunk and Elastic Search. Advanced Analytics & ML: Proven experience in applying machine learning techniques (anomaly More ❯

years Python work experience Any GUI development experience (Qt/PyQt would be ideal) Experience with Python data science libraries such as Pandas, Numpy, and Scipy XMIDAS familiarity C/C++ Code Management (Git would be ideal) Familiarity with the Atlassian tools (JIRA, Stash, Confluence, and Jenkins) and Gitlab Ability More ❯

some combination of Software Engineering, ML Engineering, Data Science, DevOps, and Cloud Infrastructure work. Expertise in Python which includes experience in libraries such as Pandas, scikit-learn. High proficiency in SQL. Knowledge of best practices in software engineering is necessary. Hands-on industry experience in some combination of the following More ❯

of SW development (3-5 Python) Any GUI development experience (Qt/PyQt would be ideal) Experience with Python data science libraries such as Pandas, Numpy, and Scipy XMIDAS familiarity C/C++ Code Management (Git would be ideal) Familiarity with the Atlassian tools (JIRA, Stash, Confluence, and Jenkins) and More ❯

Desired Qualifications: 2+ years of experience involving space domain data Robust knowledge of orbital mechanics Familiarity with Python numerical and libraries such as NumPy, Pandas, Matplotlib, SciPy, etc. Excellent problem-solving and critical thinking skills, with a track record of resolving complex orbital anomalies Familiarity with Linux-based OS, particularly More ❯

/PyTorch/Jax, Scikit-learn, and MLOps workflows for training, deployment, and monitoring of ML models. Experience working with Polars and/or Pandas for high-performance data processing. Proficiency with cloud platforms (AWS, GCP, or Azure), including containerization and orchestration using Docker and Kubernetes. Hands-on experience with More ❯

skills as evidenced by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid More ❯

probabilistic models, clustering algorithms, classification models and time series techniques in a production environment. Proficiency with Python and all related Data Science libraries (numpy, pandas, matplotlib, etc.), and SQL with excellent analytical and algorithmic skills. A proven record for successful implementation of translating business requirements into a technical solution. Multi More ❯

skills as evidenced by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid More ❯

skills as evidenced by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid More ❯

/or geospatial analytics Proven ability to analyze data and translate analysis into meaningful insights Comfortable with standard ETL and data cleansing processes in pandas or similar Proficiency in one or more programming languages, preferably including Python Demonstrated ability to manipulate large data sets into user-friendly formats for stakeholder More ❯