176 to 200 of 297 Permanent Pandas Jobs

Collaborating closely with a mid-level GIS developer and technical leads Mentoring colleagues and supporting innovation across the team Tech Environment Esri ArcGIS, ArcGIS Online, ArcGIS Pro Python, ArcPy, Pandas, SQL Lite, SQLAlchemy C# (ArcGIS Pro SDK), Node.js, React ETL tools, Version Control (Git/Subversion) Agile environment with opportunities to shape new processes What’s in it for you More ❯

in Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with stakeholders and translate their needs into actionable data solutions. Solid understanding of data More ❯

in Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with stakeholders and translate their needs into actionable data solutions. Solid understanding of data More ❯

in Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with stakeholders and translate their needs into actionable data solutions. Solid understanding of data More ❯

in Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with stakeholders and translate their needs into actionable data solutions. Solid understanding of data More ❯

industry experience equivalent (+4 years relevant experience can substitute for a BS degree) Security Clearance-Current active TS, SCI eligible Strong skills in Python, especially for data manipulation (e.g., Pandas, NumPy) and machine learning, natural language processing (e.g., Scikit-Learn, PyTorch, Spa Cy, NLTK) Fluency with data extraction, custom translation development, and loading including data prep and labeling to enable More ❯

and maintain strong working relationships Requirements 5-8 years of professional experience as a Python Engineer Expertise with standard Python libraries Must be familiar with the following Python libraries: pandas, GeoPandas, NumPy Understanding of PEP8 (Python) style guidelines preferred Experience in data matching, profiling, reconciliation, and cleansing SQL skills for querying data Nice to have: utilities industry experience BS degree More ❯

this is in a microscopy or spectroscopy area. Data Analysis and Visualization : Some experience processing and visualizing spectroscopy or similar scientific data. Familiarity with data analysis libraries (e.g., NumPy, Pandas, Matplotlib). Soft Skills : Strong problem-solving skills and attention to detail. Ability to work in a multidisciplinary team and adapt to dynamic requirements. Regulatory Knowledge : Understanding of IEC More ❯

this is in a microscopy or spectroscopy area. Data Analysis and Visualization : Some experience processing and visualizing spectroscopy or similar scientific data. Familiarity with data analysis libraries (e.g., NumPy, Pandas, Matplotlib). Soft Skills : Strong problem-solving skills and attention to detail. Ability to work in a multidisciplinary team and adapt to dynamic requirements. Regulatory Knowledge : Understanding of IEC More ❯

degree in Computer Science (or 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 with SQL/NoSQL databases More ❯

the latest developments in AI, machine learning, and data science methodologies. Experienced Needed: Masters or PhD in a STEM subject Proficiency in Python, with experience in libraries such as pandas, scikit-learn, TensorFlow, or PyTorch. Solid SQL skills and experience working with relational databases. Exposure to cloud platforms (AWS, GCP, or Azure) would be advantageous. Strong analytical and problem-solving More ❯

driven setting? Were looking for a talented OPS Engineer to join our growing teams in Erskine or Newcastle. Key Responsibilities Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML More ❯

driven setting? Were looking for a talented OPS Engineer to join our growing teams in Newcastle or Erskine. Key Responsibilities Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML More ❯

Experience designing and optimizing algorithms in Python and SQL. • Knowledge of Large Language Models (LLMs) and their operational applications. • Hands-on experience with Python data science and visualization libraries (Pandas, NumPy, Matplotlib, Seaborn). • Familiarity with Excel VBA for specialized analysis. • Prior experience in a lead or principal data science role within defense, intelligence, or similarly complex domains. More ❯

team-wide best practices for data access, documentation, and reproducibility. Desired Skills/Experience 4+ years of experience in data analytics or data engineering. High proficiency in Python (e.g., pandas, NumPy, matplotlib/seaborn) and SQL essential. Hands-on experience with BI tools (ideally Power BI) advantageous Familiarity with cloud-based data platforms (ideally Azure) advantageous. Strong problem-solving skills More ❯

technical insights to non-technical audiences Right to work in the UK Strong academic background (GCSEs, A-Levels or equivalent) Desirable (but not essential) Experience with Python libraries like Pandas, NumPy, or Scikit-learn Exposure to machine learning concepts or blockchain architecture Coursework or personal projects involving data analysis, AI/ML, or distributed systems Knowledge of data visualisation tools More ❯

team-wide best practices for data access, documentation, and reproducibility. Desired Skills/Experience 4+ years of experience in data analytics or data engineering. High proficiency in Python (e.g., pandas, NumPy, matplotlib/seaborn) and SQL essential. Hands-on experience with BI tools (ideally Power BI) advantageous Familiarity with cloud-based data platforms (ideally Azure) advantageous. Strong problem-solving skills More ❯

Linux development environment Preferred Qualifications: 2-5 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 to analyze and More ❯

science, or related field Minimum 6 years of relevant experience as a Data Engineer/Scientist Experience developing data pipelines and normalizing data with canonical Python packages (e.g. NumPy, Pandas, Polars) Active TS/SCI U.S. Government Security Clearance with a recent Full-Scope Polygraph (FSP) Preferred Qualifications: M.S. or PhD in data science, AI/ML, computer science, or More ❯

version management, monitoring) and secure software practices. Hands-on data engineering with SQL/NoSQL, stream processing (e.g., Kafka), and Python-based ML stacks (PyTorch or TensorFlow, scikit-learn, pandas). Demonstrated delivery in constrained/edge environments (performance tuning, model compression/quantization, resilience to disconnection). Familiarity with DoD cybersecurity processes (RMF, STIGs) and documentation practices. Education: BS More ❯

years of experience developing AI/ML applications, data science, or algorithm development Experience with Python and data science/machine learning libraries (e.g. PyTorch, TensorFlow, Keras, OpenCV, NumPy, Pandas, Polars, scikit-learn, etc.) Experience with one or more of the following: Applying unsupervised and/or supervised machine learning techniques Applying and/or developing algorithms based in statistical More ❯

training data analysis, and root-cause analysis Working knowledge of basic analysis using tools such as Microsoft Excel, Microsoft Power BI, Qlik, Databricks, Tableau, and/or Python (with Pandas, Matplotlib, NumPy, SciPy, Seaborn, etc.) Experience drafting U.S. Navy documents and administrative products (instructions, TACMEMOs, publications, naval messages, etc.) At least 4 years of recent experience leading and training functional More ❯

Top Skills: - Python - Machine Learning - JavaScript - Numpy and Pandas is a plus - This position requires an active DoD Clearance (Secret, Top Secret, Top Secret/SCI) or the ability to be obtain an (Interim Secret, Interim Top Secret) - Because an active or interim DoD clearance is required, U.S. Citizenship is required Eligibility requirements apply to some benefits and may depend More ❯

in Python with 2-5+ years of hands-on experience Familiarity with AI/ML concepts, or strong interest in learning quickly Experience with data processing tools (e.g., pandas, NumPy) Comfort working with JSON, APIs, and automation workflows Prior experience in a secure or classified environment is preferred Clearance: MUST HAVE active TS/SCI with CI poly More ❯

Well-versed in Python. Strong team player. Strong communication skills. Software Developer tech stack: Python > 3.5 with type hints, data classes, and Flask REST API. Postgres for relational data, Pandas for data analysis, and Google Cloud Pub/Sub for messaging. Cloud Build for automated builds, and Cloud Run/Docker for containerisation. Google Cloud Platform is used for infrastructure. More ❯