16 to 40 of 224 Pandas Jobs

proficiency in Python, R, or Java. Experience with machine learning libraries such as TensorFlow, Keras, or Scikit-learn. Familiarity with data processing tools (e.g., Pandas, NumPy). Knowledge of AI model deployment and cloud services (AWS, Google Cloud, Azure). Solid understanding of algorithms and data structures. Excellent analytical skills ...

proficiency in Python, R, or Java. Experience with machine learning libraries such as TensorFlow, Keras, or Scikit-learn. Familiarity with data processing tools (e.g., Pandas, NumPy). Knowledge of AI model deployment and cloud services (AWS, Google Cloud, Azure). Solid understanding of algorithms and data structures. Excellent analytical skills ...

development lifecycle, including data preprocessing, model training, and deployment. Strong programming skills in Python and proficiency with relevant libraries (e.g., NumPy, Pandas, Scikit-Learn, Hugging Face). Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes) for deploying AI models. Excellent problem-solving skills ...

option pricing theory (Black-Scholes, local/stochastic volatility, Monte Carlo). Expert Python developer with strong numerical and vectorized coding skills (NumPy, SciPy, Pandas). Experience building and calibrating volatility surfaces and handling risk measures (Greeks, VaR, sensitivities). Strong background in stochastic calculus, numerical methods, and optimization. ...

actionable insights for trading and risk management. Document system architecture, data flows, and technical processes for transparency and reproducibility. Requirements Strong proficiency in Python (pandas, NumPy, PySpark) and ETL development. Hands-on experience with AWS services (S3, Glue, Lambda) and Databricks. Solid understanding of financial market data, particularly time-series. ...

Data Engineer: Extensive hands-on experience with AWS data services Strong programming skills in Python (including libraries such as PySpark or Pandas) Solid understanding of data modelling, warehousing and architecture design within cloud environments Experience building and managing ETL/ELT workflows and data pipelines at scale Proficiency with ...

programming languages such as Python, C++, or Java with an understanding of algorithms and data structures. Strong expertise in Python data science stack (NumPy, Pandas) and ML/DL frameworks (scikit-learn, PyTorch, TensorFlow) for end-to-end model development. 3+ years building production-ready ML infrastructure, including data pipelines ...

/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn and work collaboratively in a team environment Nice ...

workforce insights to life for leaders. Support evidence-based decision-making across HR and the wider business. Skills And Requirements Strong proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow, and experience with AI frameworks for deep learning and generative models) and SQL. Experience working with HR data sources ...

successfully from concept to production. Proven track record of managing client interactions, presenting technical solutions, and influencing strategic decisions. Expertise in Python programming (NumPy, Pandas, Scikit-learn, Keras/TensorFlow/PyTorch). Strong understanding of statistical modeling, experimental design, and hypothesis testing. Experience with cloud platforms (AWS, Azure ...

functionality - RAG, MCP, Agentic AI - Familiarity with ML concepts, techniques, and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Keras) - Experience with data handling libraries (NumPy, Pandas) and AI/ML data pipelines - Experience designing and implementing data pipelines (batch and streaming) feeding into AI/ML tools Proven experience developing large ...

models (or equivalent experience through research, internships, or significant personal projects). Proficiency in Python and its core data science libraries (e.g., scikit-learn, pandas, numpy). Experience building and maintaining APIs for data-centric applications (e.g., FastAPI, Flask). A strong foundation in software engineering best practices, including version ...

Experience with predictive modeling techniques such as regression, classification, clustering, or time-series forecasting. Proficiency in Python and experience with data science libraries (e.g., Pandas, NumPy, scikit-learn, XGBoost, PyTorch, TensorFlow). Strong experience with SQL and data manipulation across large datasets. Familiarity with data visualization tools (e.g., Matplotlib, Seaborn ...

looking for someone with a strong technical foundation, an innovative mindset, and a collaborative spirit. Technical skills (essential): Expertise in Python (NumPy, pandas, scikit-learn) and SQL Experience with EDA, data wrangling, and visualization tools (e.g., Matplotlib, Plotly, BI tools) Ability to build, evaluate, and deploy ML models (REST APIs ...

Models (GPT, Claude), Generative AI, RAG Agentic AI, CoPilot, MCPs AIML Algorithms (Regression, Classification, Decision Trees, KNN, K-Means) Python (NLTK, NumPy, Scikit-learn, Pandas) Experience building AIML solutions for test generation, prioritization, defect triage, reporting, framework migration Strong understanding of QA automation frameworks and test lifecycle SQL proficiency Agile ...

data extraction and manipulation. Experience working with large datasets. Technical Skills Proficiency in cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling ...

full-time roles in 2026 Experience programming in Python and/or C++ Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB A passion for applying quantitative models and technology toward solving real-world problems Brilliant analytical and problem-solving ...

supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ? Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) ? Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. ? Experience with ML Ops, including model deployment ...

program) who is eligible for full-time roles in 2026 Fluency in Python Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB Brilliant analytical and problem-solving skills Ability to work creatively and independently on long-term technical problems Culture ...

2+ years of hands-on experience with PyTorch and/or JAX for deep learning applications Strong proficiency in Python scientific computing stack (NumPy, Pandas, scikit-learn) Experience with distributed computing and GPU optimization techniques Familiarity with protein structure analysis, computational biology, or analogous problems in natural sciences Understanding ...

applied mathematics, or a related field. Experience with AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn, OpenCV). Familiarity with tools such as NumPy, SciPy, Pandas, Matplotlib. Experience deploying AI models in cloud environments (e.g., AWS, Azure). Strong analytical skills and creative problem-solving ability. Understanding of Agile development methodology. ...

familiarity with core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability ...

Qualifications Advanced proficiency in Python (specifically for machine learning) and extensive experience with core AI/ML open-source libraries, including scikit-learn, PyTorch, pandas, polars, NumPy, and seaborn. Proven experience designing and deploying end-to-end AI/ML systems, with a strong emphasis on MLOps principles and tools ...

applied mathematics, or a related field. Experience with AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn, OpenCV). Familiarity with tools such as NumPy, SciPy, Pandas, Matplotlib. Experience deploying AI models in cloud environments (e.g., AWS, Azure). Strong analytical skills and creative problem-solving ability. Understanding of Agile development methodology. ...

What You'll Bring: A foundational understanding of machine learning concepts and algorithms. Some experience with Python and common ML libraries (e.g., scikit-learn, pandas, NumPy). Familiarity with SQL and relational databases (Postgres is a big plus). A strong desire to learn and grow in the fields ...