26 to 50 of 104 Remote Pandas Jobs

hands-on, with the opportunity to step into a leadership role as the team scales. Tech Stack - Python, FastAPI, AWS, Typescript, PostgreSQL, NumPy, Pandas What You’ll Be Doing - Designing, building, and maintaining scalable backend systems for AI-driven healthcare solutions. Working closely with the ML engineers to integrate AI More ❯

skills in Python, R, or SQL. • Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). • Proficiency in data manipulation and analysis (e.g., Pandas, NumPy, Spark). • Knowledge of data visualization tools (e.g., Power BI, Tableau, Matplotlib). • Understanding of statistical modelling, hypothesis testing, and A/B testing. More ❯

looking for: 1-2 years experience in Data Science(perfect for second-jobbers) First-class STEM degree from a prestigious university Strong Python skills (Pandas, NumPy, Scikit-Learn) Cloud computing experience (primarily Azure but they work with all major cloud providers depending on their clients needs). SQL knowledge and More ❯

looking for: 1-2 years experience in Data Science(perfect for second-jobbers) First-class STEM degree from a prestigious university Strong Python skills (Pandas, NumPy, Scikit-Learn) Cloud computing experience (primarily Azure but they work with all major cloud providers depending on their clients needs). SQL knowledge and More ❯

ensure data practices remain current. Required Skills & Experience: Proficiency in Python: Strong understanding of Python programming language. Experience with Python libraries and frameworks like Pandas, NumPy, and Django. Expertise in Apache Airflow: Experience in designing, building, and maintaining data pipelines using Apache Airflow. Knowledge of Airflow's architecture, including DAGs More ❯

ideation to deployment. Be on-call for urgent AI model fixes or system failures. Qualifications Proficiency in Python and related libraries (e.g., NumPy, SciPy, pandas) is required. Strong production experience with at least one framework: LangChain, AutoGen, or CrewAI. Deep understanding of agentic systems, autonomous workflows, and LLM-based automation. More ❯

A/B testing, entity extraction, and feature engineering. Proficiency in programming languages such as Python, R, and SQL, and data analysis libraries (e.g., Pandas, NumPy, SciPy, Tidyverse). Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, NLTK). Experience with NLP techniques, such as More ❯

for a Python Engineer to work on a hybrid basis as their offices in London. Essential Skills Python, Pytest Common python libraries such as Pandas/Numpy/Jupyter notebooks OpenTelemetry Git/Github Github actions Docker Microservices and/or lambdas Postgresql Streamlit Desirable skills include: The Fast API More ❯

for a Python Engineer to work on a hybrid basis as their offices in London. Essential Skills Python, Pytest Common python libraries such as Pandas/Numpy/Jupyter notebooks OpenTelemetry Git/Github Github actions Docker Microservices and/or lambdas Postgresql Streamlit Desirable skills include: The Fast API More ❯

Data Scientists and even have the ability to be client facing! Requirements: 5+ years experience with Data Engineering Strong working knowledge with Python/Pandas/NumPy/ETL pipelines Strong AWS experience (ideally Lambda & Step Functions) Beneficial: Experience or interest in the financial markets Experience in client facing role More ❯

decisions. Key Responsibilities Develop and implement quantitative analytics for balance sheet and risk management Design and code models in Python using libraries such as Pandas and Numpy Work with Technology teams to operationalise analytics and ensure production readiness Ensure models comply with risk governance frameworks and policy standards Contribute to More ❯

decisions. Key Responsibilities Develop and implement quantitative analytics for balance sheet and risk management Design and code models in Python using libraries such as Pandas and Numpy Work with Technology teams to operationalise analytics and ensure production readiness Ensure models comply with risk governance frameworks and policy standards Contribute to More ❯

data products. Tech Stack: Python - Core language for geospatial data processing Rasterio/GDAL - For handling and processing raster datasets xarray/NumPy/Pandas - For data manipulation and analysis AWS - For cloud-based data storage and processing PostGIS - For spatial data management (nice to have) What you'll be More ❯

data products. Tech Stack: Python - Core language for geospatial data processing Rasterio/GDAL - For handling and processing raster datasets xarray/NumPy/Pandas - For data manipulation and analysis AWS - For cloud-based data storage and processing PostGIS - For spatial data management (nice to have) What you'll be More ❯

data products. Tech Stack: Python - Core language for geospatial data processing Rasterio/GDAL - For handling and processing raster datasets xarray/NumPy/Pandas - For data manipulation and analysis AWS - For cloud-based data storage and processing PostGIS - For spatial data management (nice to have) What you'll be More ❯

Required Skills/Experience The ideal candidate will have the following: Experience in analytics or model/data engineering. Advanced Python skills (Numpy/Pandas). Strong SQL and relational database design expertise. Excellent communication skills. Benefits & Perks £6,000 per annum training & conference budget to help you up-skill More ❯

Strong academic background in Computer Science, Engineering, Mathematics, Physics, or similar technical fields. Expertise in crafting scalable backend systems using Python and frameworks like Pandas for data analysis. Solid experience working with cloud services (GCP, AWS, or Azure). Proven track record of writing testable code and following modern testing More ❯

Strong academic background in Computer Science, Engineering, Mathematics, Physics, or similar technical fields. Expertise in crafting scalable backend systems using Python and frameworks like Pandas for data analysis. Solid experience working with cloud services (GCP, AWS, or Azure). Proven track record of writing testable code and following modern testing More ❯

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 More ❯

confidently to key stakeholders. We're Looking For Someone Who Has: Proficiency in front-end technologies (e.g., JavaScript, React). Strong skills in Python (Pandas, APIs, etc.). Experience with version control systems, preferably Git. Understanding of cloud services and deployment (e.g., Azure). Familiarity with Agile development practises. An More ❯

ML tools. Supporting clients in data handling, analysis, and modeling. Working within diverse, inclusive teams. Connect to your skills and experience Proficiency in Python (pandas, numpy, scikit-learn) and R. Understanding of ML principles, algorithms, and deployment. Experience with end-to-end data science projects. Strong communication and presentation skills. More ❯

growth, marketing, or product-focused roles. Deep understanding of LTV modeling, forecasting, and experimental design. Proficiency in Python for data analysis and modeling (e.g., pandas, scikit-learn, statsmodels). Advanced SQL skills and experience working with large datasets in modern data environments. Experience working with cross-functional growth or marketing More ❯

reliability and cost, or improving our search service Tech Stack: Platform: AWS, Pulumi, Docker, Prefect, Github actions, Grafana cloud monitoring Data Science: Python, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Argilla, Weights and Biases Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, AWS Batch, Lambda, S3 Frontend: React, Next.js Key skills and experience More ❯

experience with SQL (e.g., RDBMS, Spark, Presto, or BigQuery). Experience with machine learning, optimization, and data manipulation tools (e.g., scikit-learn, XGBoost, cvxpy, Pandas, Spark, or PyTorch). Experience with at least one low-level or scientific language (e.g., C, Rust, Go, Julia, or R). Experience with accelerated More ❯

Concentration) or related degree Technical Skills: Programming & Data Tools Proficiency in Python and R for machine learning and data analysis. Experience with libraries like Pandas, NumPy, and scikit-learn for data manipulation and model building. Familiarity with data visualization tools such as Matplotlib or Plotly. Machine Learning & Model Development Experience More ❯