1 to 25 of 302 Pandas Jobs

collaborative workflows Awareness of secure development practices and experience handling sensitive or regulated data (e.g. GDPR, ISO 27001, or similar) Technical Skills Python (essential) – pandas, NumPy, and the modern data/ML ecosystem SQL – advanced querying, modelling, and optimisation Data pipelines & orchestration – Airflow, Prefect, Dagster, or dbt Data warehouses/ ...

. Strong proficiency in Python for AI/ML development, including use of common ML and data libraries (e.g. TensorFlow/PyTorch, scikit-learn, pandas, NumPy). Proven experience integrating AI services with enterprise systems via APIs and event-driven architectures. Practical experience with LLMs, prompt engineering, RAG and tools ...

. Strong proficiency in Python for AI/ML development, including use of common ML and data libraries (e.g. TensorFlow/PyTorch, scikit-learn, pandas, NumPy). Proven experience integrating AI services with enterprise systems via APIs and event-driven architectures. Practical experience with LLMs, prompt engineering, RAG and tools ...

strong managing large datasets and fluent with SQL querying, including building ETL/ELT pipelines and data models from scratch. Strong proficiency in Python (pandas, PySpark, or similar) and SQL. Experience with cloud-based data platforms (e.g., Snowflake, Azure DL, AWS S3, Databricks). Practical knowledge of AI/ ...

years as a Data Scientist, Hands-on experience deploying ML models to production, not just research-level familiarity, Strong proficiency in Python (NumPy, pandas, scikit-learn, matplotlib, pytorch), Understanding of Windows or Linux software development platforms Excellent command of English – both written and spoken (international client communication, presentations), Expertise ...

their potential impact on products. Key Skills & Experience: Experience in machine learning, data science, or applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure ...

coach teams, contribute to sales pursuits/bids and accelerators (most senior levels) Requirements Skills and Qualifications Essential Skills: Strong Python/R (pandas/NumPy; ML libs such as scikit-learn; DL frameworks TensorFlow/PyTorch). Experience with LLM/RAG toolchains (e.g., LangChain, LlamaIndex, Semantic Kernel ...

programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data ...

field). 2+ years of hands‐on experience developing and deploying machine learning or statistical models within a commercial environment. Advanced proficiency in Python (pandas, NumPy, scikit‐learn) and advanced SQL. Solid understanding of core ML algorithms (e.g. XGBoost, LightGBM, linear/logistic regression, clustering, time‐series forecasting). Practical ...

related STEM field).2+ years of hands-on experience developing and deploying machine learning or statistical models within a commercial environment.Advanced proficiency in Python (pandas, NumPy, scikit-learn) and advanced SQL.Solid understanding of core ML algorithms (e.g. XGBoost, LightGBM, linear/logistic regression, clustering, time-series forecasting).Practical familiarity with ...

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 ...

foundation in machine learning, statistical modelling, experimental design and model validation. Proficiency in Python for data science and machine learning, including libraries such as 'pandas', 'scikit-learn', 'PyTorch' or 'TensorFlow'. Experience cleaning, integrating and preparing complex or heterogeneous datasets for analysis. Familiarity with software engineering best practices, including ...

data science, with readable, well‐structured code and an understanding of functions, classes and modules. Machine learning across the standard toolkit (scikit‐learn, pandas, NumPy, statsmodels or equivalents), with sound judgement about validation and the limits of what the data supports. Statistical foundations: hypothesis testing, regression, quantifying uncertainty and recognising ...

years of experience in Data Science, Data Analytics, Machine learning, or a related field. Proficient in Python and working knowledge of libraries like NumPy, Pandas, Matplotlib, and scikit-learn. Proficient in Structured Query Language (SQL) Strong mathematical, analytical, and problem‐solving skills. Understanding of dataset preparation, splits, data quality control ...

programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data ...

programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data ...

programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data ...

programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data ...

computer vision, machine learning, or statistical modeling, Practical experience with ML model deployment (on cloud or on-premise), Solid programming skills in Python (NumPy, pandas, scikit-learn, matplotlib, PyTorch or TensorFlow), Understanding of Windows or Linux software development platforms Good understanding of statistics and data preparation, Working knowledge ...

principles. Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization technologies (Docker, Kubernetes). Familiarity with databases (SQL, NoSQL) and data processing tools (Pandas, NumPy). Soft Skills Excellent problem-solving skills. Strong communication abilities. Capability to work collaboratively in a team environment. Preferred Skills Experience with natural language ...

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 ...

content supply chain, content operations, or omnichannel marketing technologyExperience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)Knowledge of data engineering tools: pandas, PySpark, Airflow, or equivalent pipeline frameworksExposure to ML frameworks or LLM APIs (Anthropic, OpenAI, Hugging Face) for applied use casesExperience in pharmaceutical, life sciences ...

supply chain, content operations, or omnichannel marketing technology Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) Knowledge of data engineering tools: pandas, PySpark, Airflow, or equivalent pipeline frameworks Exposure to ML frameworks or LLM APIs (Anthropic, OpenAI, Hugging Face) for applied use cases Experience in pharmaceutical, life ...

integer programming, heuristics) Fluent in Python (required) and other programming languages (preferred) with strong skills in applying DS, ML, and OR packages (scikit‐learn, pandas, numpy, gurobi, etc.) to solve real‐life problems and visualise the outcomes (e.g., seaborn) Proficient in working with cloud platforms (AWS preferred), code versioning ...

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 ...