1 to 25 of 498 Pandas Jobs

particularly its AI/ML and application services (e.g., Amazon Bedrock, SageMaker, Lambda, DynamoDB). Exposure to the Python data and ML ecosystem (e.g., Pandas, NumPy, and libraries such as PyTorch, TensorFlow, or Scikit-learn). Familiarity with RESTful APIs, web services, and third-party or system integrations. Understanding ...

technical audiences, advocating for interpretability and audit best practices.Experience working with structured and unstructured datasets.Proficient in Python, leveraging key data science libraries (NumPy, Pandas, scikit-learn) and applying object-oriented programming principles to develop efficient, scalable solutionsHands-on experience experimenting with Generative AI (e.g. LangChain, Hugging Face, LlamaIndex).Experience working ...

Statistics, Physics, or related); Master's degree preferred. Professional software development experience, with deep expertise in Python and its data/engineering ecosystem (e.g., pandas, NumPy, FastAPI, orchestration tools). Proven track record of delivering production-grade automation, data pipelines, or testing frameworks in a complex enterprise environment; financial services ...

Mathematics, Statistics, Physics, or related); Master's degree preferred.Professional software development experience, with deep expertise in Python and its data/engineering ecosystem (e.g., pandas, NumPy, FastAPI, orchestration tools).Proven track record of delivering production-grade automation, data pipelines, or testing frameworks in a complex enterprise environment; financial services experience ...

years of applied experience building production Python systems, including web/API services (Flask or FastAPI) and the ML/NLP ecosystem (scikit-learn, pandas, NumPy, spaCy, PyTorch or TensorFlow). Demonstrated experience taking machine learning models from prototype to production - training, packaging, deployment, monitoring, retraining, and decommissioning - in real ...

graph databases, or comparable technologies.ETL/ELT concepts.Data warehouse concepts.SQL.Competency in data exploration, analytics, data quality, image-data processing, and feature engineering.Python experience with Pandas, NumPy, Polars, PySpark, OpenCV, Pillow, scikit-image, or comparable data and image-processing tools.Experience with Plotly, Matplotlib, or equivalent data-visualization tools.Knowledge of data encoding ...

solutions to real-world problems.Experience of coaching junior data scientists/analysts.Experience in reviewing code and documentation to a high standard.Experience in using Python (pandas, numpy, scikit-learn).End-to-end experience of managing multiple data science and analytics projects in different industries and with different types of data (text ...

scientists, and product managers Contribute to a culture of continuous improvement, knowledge sharing, and technical excellence Required Skills & Qualifications Strong proficiency in Python (NumPy, Pandas, Scikit-learn, or similar) Experience building data pipelines and working with structured and unstructured data Solid understanding of SQL and relational and non-relational databases ...

Docker and Kubernetes for scalable production systemsFamiliarity with distributed computing frameworks (e.g., Spark, Dask), cloud platforms (e.g., AWS, Azure, GCP), and analytics libraries (e.g., pandas, numpy, matplotlib)Exposure to DevOps, DataOps, and MLOps concepts and best practicesExperience with core technologies such as Python, PySpark, SQL, Airflow, Databricks, Kedro, Dask/ ...

pipelines in a professional setting (e.g., internship) is a plusAbility to write clean, maintainable, scalable, and robust code in PythonFamiliarity with analytics libraries (e.g., pandas, numpy, matplotlib), distributed computing frameworks (e.g., Spark, Dask), and cloud platforms (e.g., AWS, Azure, GCP)Basic understanding or exposure to containerization technologies such as Docker ...

judge whether results are both statistically and commercially credible. Strong Python or R and SQL skills (joins, CTEs, window functions), with libraries such as pandas, NumPy, scikit-learn, statsmodels, or SciPy — and explainability tools like SHAP. Fluent in commercial concepts (ROI, ROAS, incremental revenue, margin, market share) and comfortable partnering ...

scientists, and product managers Contribute to a culture of continuous improvement, knowledge sharing, and technical excellence Required Skills & Qualifications Strong proficiency in Python (NumPy, Pandas, Scikit-learn, or similar) Experience with React (hooks, state management, component architecture) Experience building data pipelines and working with structured and unstructured data Solid understanding ...

years of applied experience building production Python systems, including web/API services (Flask or FastAPI) and the ML/NLP ecosystem (scikit-learn, pandas, NumPy).Demonstrated experience taking machine learning models from prototype to production - training, packaging, deployment, monitoring, retraining, and decommissioning - in real-world business applications.Experience with building ...

models What We’re Looking For: Essential Skills & Experience Proven experience solving complex, real-world problems using data science and analytics Strong Python skills (pandas, numpy, scikit-learn) with a solid grounding in probability and statistics Deep understanding of machine learning methods and their practical application Experience delivering multiple ...

skills, with a track record of building and maintaining production‐quality systems. Expert‐level Python experience with numerical, statistical, or ML libraries (e.g. NumPy, pandas, PyTorch, JAX, TensorFlow). Deep understanding of statistical modelling, optimisation, or machine‐learning techniques. Experience building and operating backend systems and data pipelines ...

following:Core Programming Languages: Python (Advanced), C++, R, Java.ML/AI Frameworks & Libraries: PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers.Data Processing & Databases: Pandas, NumPy, Apache Spark, SQL, PostgreSQL.MLOps & Deployment: Docker, Kubernetes, MLflow, AWS (SageMaker), GCP (Vertex AI).Version Control & Collaboration: Git, GitHub, GitLab, Jira.Strong background in scalable software design ...

following:Core Programming Languages: Python (Advanced), C++, R, Java.ML/AI Frameworks & Libraries: PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers.Data Processing & Databases: Pandas, NumPy, Apache Spark, SQL, PostgreSQL.MLOps & Deployment: Docker, Kubernetes, MLflow, AWS (SageMaker), GCP (Vertex AI).Version Control & Collaboration: Git, GitHub, GitLab, Jira.Strong background in scalable software design ...

engineering fundamentals: working with Parquet, Hive-partitioned datasets, and SQL against large tables (Athena/Presto). Solid working knowledge of the PyData stack — pandas and NumPy for data manipulation, Jupyter for experimentation, matplotlib/Seaborn for visualisation — and experience troubleshooting data-quality issues.Testing discipline with PyTest and a commitment ...

engineering fundamentals: working with Parquet, Hive-partitioned datasets, and SQL against large tables (Athena/Presto). Solid working knowledge of the PyData stack — pandas and NumPy for data manipulation, Jupyter for experimentation, matplotlib/Seaborn for visualisation — and experience troubleshooting data-quality issues. Testing discipline with PyTest ...

networks, and NLP - with hands-on expertise in at least one major framework (PyTorch or TensorFlow) and the broader Python ML stack (scikit-learn, pandas, NumPy) Expertise in Data Engineering - Data cleaning, feature engineering, preventing data leakage What Would be Nice to Have Master's Degree in relevant field ...

translate business problems into measurable analytical outcomes.* Experience taking models from development into production environments.### Technical Skills* Python and associated data science ecosystem (Pandas, NumPy, Scikit-learn).* Machine learning techniques including classification, regression, clustering and anomaly detection.* Experience with Generative AI, LLMs, RAG architectures or agent-based AI solutions. ...

NoSQL, Vector Databases, Graph Databases etc. ETL/ELT Concepts Data warehouse concepts SQL Competency in data exploration, analytics, and feature engineering. (Python Specific) Pandas/NumPy/Polars/PySpark Plotly/Matplotlib (some form of data visualization) Data encoding/normalizing/regularizing/etc. Understanding of Deep ...

Engineers. Key experience includes: Expert-level Python development. Strong experience with core data science and machine learning libraries such as scikit-learn, pandas, PyTorch and/or TensorFlow . Practical experience with Databricks , including MLflow and Spark-based data processing. Hands-on knowledge of Generative AI and LLMs , including prompt ...

sequential modelingExcellent communication skills with the ability to communicate concepts clearly and preciselyExperience writing software using: i) Python for data science (numpy, scipy, scikit, pandas; ii) databases; and iii) cloud platform services (AWS, GCP, Azure)NICE TO HAVESExperience as a Data Architect or Senior ManagerProven track record of deploying ...

Excellent communication skills with the ability to communicate concepts clearly and precisely Experience writing software using: i) Python for data science (numpy, scipy, scikit, pandas; ii) databases; and iii) cloud platform services (AWS, GCP, Azure) NICE TO HAVES Experience as a Data Architect or Senior Manager Proven track record ...