1 to 25 of 36 Remote/Hybrid Pandas Jobs

communication skills, with the ability to explain complex technical AI concepts to non-technical business leaders. Advanced proficiency in Python and relevant libraries (NumPy, Pandas, PyTorch, or TensorFlow). Experience with Cloud AI Services (Azure AI Studio, AWS Bedrock, or Google Vertex AI [Preferred]). Knowledge of SQL and advanced ...

team standards for data extraction, complex aggregation, and resilient exception management, contributing to their ongoing improvement. Statistical Analysis & Quality Apply advanced, critical quantitative methods (Pandas, NumPy) to process raw data and derive actionable insights. Implement automated frameworks to ensure enterprise-grade data quality and continuous validation. Strategic Reporting Design high ...

Azure) and modern MLOps tooling (e.g. MLflow, Weights & Biases, DVC, Airflow) Strong experience with Python and associated scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit-learn, etc. Strong software engineering practices including version control, code review, software testing methodologies, and continuous integration; experience with ...

team standards for data extraction, complex aggregation, and resilient exception management, contributing to their ongoing improvement. Statistical Analysis & Quality Apply advanced, critical quantitative methods (Pandas, NumPy) to process raw data and derive actionable insights. Implement automated frameworks to ensure enterprise-grade data quality and continuous validation. Strategic Reporting Go beyond ...

implementing data science processes. Experience in translating customer requirements into technical requirements and development objectives. Python expertise covering standard data science libraries (NumPy, pandas, matplotlib, Scikit-learn, PyTorch, etc...), web frameworks (Flask or FastAPI) and visualisation (Dash, Plotly, & Streamlit). Proficient in SQL. Working with unstructured data Building customer ...

production‐grade backend systems at scale. Core Technical Skills Strong proficiency in Python as a primary backend language. Hands‐on experience with FastAPI and Pandas for building data‐driven API services. Solid experience with PostgreSQL – schema design, query optimization, and migrations. Experience with RabbitMQ or similar message brokers for asynchronous ...

between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem‐solving Technical Expertise & Tools Python: Advanced, production‐grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code SQL: Expert querying, database design, partitioning, and optimization strategies for large ...

stress-testing, simulation analysis, rare event modeling, and stochastic modeling preferred but not required. Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.). Proven experience developing, refining, and monitoring NLP models. Familiarity with database management tools and techniques (e.g., SQL, Selenium ...

decision support Hands-on experience with healthcare-specific ML challenges (imbalanced datasets, missing data, temporal dependencies) Technical Stack & MLOps Proficiency in Python (scikit-learn, pandas, PyTorch/TensorFlow) and SQL for large-scale data analysis Experience with modern data platforms (Snowflake, Databricks, or similar cloud data warehouses) Demonstrated MLOps capabilities ...

Experience in managing data and implementing data science processes. Experience in translating customer requirements intotechnical requirements and development objectives. Pythonexpertisecovering standard data sciencelibraries (NumPy, pandas, matplotlib, Scikit-learn,PyTorch, etc),web frameworks (Flask or FastAPI) and visualisation(Dash,Plotly,&Streamlit). Proficient inSQL. Working with unstructured data Building customer ...

Experience in managing data and implementing data science processes. Experience in translating customer requirements intotechnical requirements and development objectives. Pythonexpertisecovering standard data sciencelibraries (NumPy, pandas, matplotlib, Scikit-learn,PyTorch, etc),web frameworks (Flask or FastAPI) and visualisation(Dash,Plotly,&Streamlit). Proficient inSQL. Working with unstructured data Building customer ...

Financial services, capital markets or FinTech. Additional AWS services such as SQS, SNS, Step Functions, EventBridge or Secrets Manager. Big data technologies including DuckDB, pandas, Spark, Databricks or Snowflake. AI/ML technologies including vector databases, semantic search or LLM orchestration frameworks. Continuous delivery and modern development workflows. Data science ...

Forest, XGBoost, etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) Strong knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib) Strong software development skills (Python is the preferred language) Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow Strong management ...

bachelor’s degree level or equivalent qualification/relevant work experience Excellent programming skills, predominantly across the Python/Anaconda suite (Scikit-learn, Pandas, Numpy) Understanding financial markets, risk (for example, Know Your Client (KYC), anomaly detection/Machine Learning, project management Excellent interpersonal skills with the ability to collaborate ...

computing frameworks such as Ray and managing GPU workloads across multiple nodes. Knowledge of platforms and tools such as PyTorch, SciPy, scikit-learn, NumPy, pandas, MLflow, Docker, Kubernetes, and cloud infrastructure. Understanding of industrial systems, including heating, cooling, manufacturing, or data center environments. Scientific or technical background that enables effective ...

What we’re looking for: Proficiency in Python (and at least one other language a plus). Experience with key libraries such as PyTorch, Pandas, Hugging Face Transformers, or similar AI toolkits. Working knowledge of common models, and their use cases and experience applying them to solve specific problems. Solid ...

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roles, not just in theory We're looking for: Strong hands-on AI/ML and Data Science expertise (Python essential — NumPy, Pandas, Scikit-learn; exposure to PyTorch, TensorFlow, LangGraph or similar a plus) Proven experience delivering technical training to a mix of technical and non-technical audiences, virtually ...

XGBoost, etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.). Strong knowledge of SQL and Python’s ecosystem for data analysis (Jupyter, Pandas, Scikit‐Learn, Matplotlib). Strong software development skills (Python is the preferred language). Strong management and leadership skills – previous experience managing a team. Strong ...

code and CI/CD practices. \n Data Engineering & Scripting \n *Scripting and data manipulation skills using Python. (Nice to have) \n *Proficient with Pandas for handling and transforming complex datasets. (nice to have) \n *Hands-on experience with Apache Airflow for data orchestration and pipeline scheduling. \n Experience ...

databases. Experience with vector databases such as Qdrant, Milvus or pgvector . Familiarity with technologies such as Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, Pandas and Polars . Strong understanding of data modelling, storage architecture and performance optimisation. Desirable Experience working on AI or Machine Learning platforms. Knowledge of cloud ...

engineering experience Passion for AI and eagerness to work at the forefront of technological innovation Proficiency with relevant Python libraries for data analysis (e.g. pandas) and key AI APIs (e.g. OpenAI) Familiarity with cloud infrastructure, orchestration and monitoring tools Experience with visualizing and presenting data Strong problem-solving skills ...

background in a STEM discipline Proven experience delivering data science, machine learning or AI solutions in a commercial environment Strong programming capability in Python (Pandas, NumPy, SciPy or similar) Solid grounding in statistics, probability and data analysis AI & LLM Experience Hands-on experience with large language models, including: RAG pipelines ...

awareness of modern approaches such as natural language processing and deep learning Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter Experience working with SQL and data pipelines to prepare and transform data for model training Understanding of model evaluation, monitoring and improving performance ...

. Building data analysis frameworks, validation routines, and reconciliation processes in Python. Automating data quality checks, exception reporting, and workflows through scripting. Proficiency with Pandas, NumPy, and OpenPyXL. Integration of database queries, file processing, and reporting via automated scripts. Knowledge of Excel VBA/VB Scripting for macros and reporting ...