776 to 800 of 1,138 Permanent Pandas Jobs

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 More ❯

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 More ❯

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 More ❯

to-end data solutions for AI, analytics, and reporting Collaborate with global teams to enhance data accessibility & structure Guide data engineers in SQL, Python (pandas, PySpark) and DevOps (Azure DevOps, dbt, Coalesce) Core skills/experience 6+ years in data engineering, data architecture, or data product ownership Expertise in AWS More ❯

issues from alerts. Participate in special projects and other duties as assigned. Qualifications: 5-7 years of programming and coding experience. Proficiency in Python, Pandas, TensorFlow, PyTorch, and related frameworks. 3-5 years of AWS cloud experience, including core services and security. Undergraduate degree or equivalent experience. Additional Skills: Experience More ❯

related field). 3+ years of experience writing production-grade Python code. 3+ years of hands-on experience with core Python data libraries (e.g., pandas, numpy, sklearn, tensorflow, pytorch, matplotlib). At least 1 year of experience deploying machine learning models in production environments. 1-2 years of experience working More ❯

offensive cyber topics. Data Engineering & Preprocessing Skills: Proficiency in data preprocessing, feature extraction, and working with large datasets, with experience using tools like NumPy, pandas, and SQL. AI Model Deployment & Monitoring: Experience deploying AI models in production, with an emphasis on performance optimization and monitoring for real-time systems. Familiarity More ❯

solving and collaboration, with the ability to work closely with technical and non-technical teams. Desired Skills Python expertise, especially with data libraries like Pandas, NumPy, and Scikit-learn. Familiarity with ETL tools and data pipeline orchestration. Exposure to data science tools like SAS or Posit. Experience in performance-critical More ❯

solving and collaboration, with the ability to work closely with technical and non-technical teams. Desired Skills Python expertise, especially with data libraries like Pandas, NumPy, and Scikit-learn. Familiarity with ETL tools and data pipeline orchestration. Exposure to data science tools like SAS or Posit. Experience in performance-critical More ❯

working with large-scale medical datasets • Experience contributing to open-source GitHub projects and strong proficiency in Python-based data science tools (e.g., NumPy, Pandas, Matplotlib, SciPy) How to Apply To apply, please email your CV and a brief cover letter (up to 500 words) outlining your relevant experience and More ❯

working with large-scale medical datasets • Experience contributing to open-source GitHub projects and strong proficiency in Python-based data science tools (e.g., NumPy, Pandas, Matplotlib, SciPy) How to Apply To apply, please email your CV and a brief cover letter (up to 500 words) outlining your relevant experience and More ❯

in a STEM subject, preferably from a Russell Group University. Strong mathematical and statistical background; expertise in Python and R, including libraries like Numpy, Pandas, Pytorch and Scikit-learn. Demonstrable experience in data science and a proven track record in developing predictive models. Experience contributing to a software project/ More ❯

working with large-scale medical datasets • Experience contributing to open-source GitHub projects and strong proficiency in Python-based data science tools (e.g., NumPy, Pandas, Matplotlib, SciPy) How to Apply To apply, please email your CV and a brief cover letter (up to 500 words) outlining your relevant experience and More ❯

working with large-scale medical datasets • Experience contributing to open-source GitHub projects and strong proficiency in Python-based data science tools (e.g., NumPy, Pandas, Matplotlib, SciPy) How to Apply To apply, please email your CV and a brief cover letter (up to 500 words) outlining your relevant experience and More ❯

working with large-scale medical datasets • Experience contributing to open-source GitHub projects and strong proficiency in Python-based data science tools (e.g., NumPy, Pandas, Matplotlib, SciPy) How to Apply To apply, please email your CV and a brief cover letter (up to 500 words) outlining your relevant experience and More ❯

leadership Implement validation frameworks, unit tests, and monitoring pipelines Stay current with advances in machine learning and apply them where appropriate Tech Stack: Python (Pandas, Polars, SciPy, Scikit-learn, NumPy) Dagster, Argo, GCP Kibana, Elastic DevOps-first approach for model deployment Skills & Experience: Essential: Strong background in statistics, machine learning More ❯

leadership Implement validation frameworks, unit tests, and monitoring pipelines Stay current with advances in machine learning and apply them where appropriate Tech Stack: Python (Pandas, Polars, SciPy, Scikit-learn, NumPy) Dagster, Argo, GCP Kibana, Elastic DevOps-first approach for model deployment Skills & Experience: Essential: Strong background in statistics, machine learning More ❯

leadership Implement validation frameworks, unit tests, and monitoring pipelines Stay current with advances in machine learning and apply them where appropriate Tech Stack: Python (Pandas, Polars, SciPy, Scikit-learn, NumPy) Dagster, Argo, GCP Kibana, Elastic DevOps-first approach for model deployment Skills & Experience: Essential: Strong background in statistics, machine learning More ❯

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 ❯