1 to 25 of 29 Remote/Hybrid Permanent Pandas Jobs

Experience setting up CI/CD pipelines Understanding of service deployment, monitoring, and troubleshooting Data Science/Analytics Experience with data analysis using Python (pandas, numpy) Understanding of data pipelines and ETL processes AI/LLM Engineering Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production ...

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 ...

clearly Required Qualifications Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics , or related field Strong foundation in Python (Pandas, NumPy, Scikit-learn) Understanding of machine learning concepts (regression, classification, clustering) Experience with data visualization tools (Matplotlib, Seaborn, or similar) Familiarity with SQL and working ...

architecture, mentor engineers and scientists, lead applied research initiatives What You'll Bring Technical Expertise: Strong Python skills with the ML stack: NumPy, pandas, scikit-learn Hands-on experience with at least one deep learning framework (PyTorch, TensorFlow, JAX) Solid grounding in core ML—supervised, unsupervised, evaluation, regularisation, statistics Production ...

testing, simulation analysis, rare event modeling, and stochastic modeling preferred but not required. Substantial experience with Python , especially data-science-relevant libraries (e.g., numpy, pandas, scikit-learn, etc.). Familiarity with database management tools and techniques (e.g., SQL, S3, API protocols) preferred but not required. Understanding of model evaluation methods ...

least 2 years’ experience working as a data engineer (ideally consulting/financial services) – salary and level will reflect experience. Proficiency in Python (pandas, numpy) Professional experience with Azure cloud services (AWS/GCP acceptable with deeper experience) Strong experience deploying clean, maintainable, production-level code. Basic understanding ...

etc.). Attributes Need to Haves: C++ - Strong understanding of multithreading, asynchronous programming, network protocols Advanced knowledge of Python and related frameworks (FastAPI, NumPy, Pandas, Pydantic) including multithreading and parallel design principles. Understanding of AWS, including knowledge of Cognito, Pinpoint, IoT, MSK and other services. Deep understanding of user-centered ...

Senior Quant Data Scientist Deep understanding of: Regression, classification, and ranking models Time-series analysis & feature engineering Hands-on experience with: Python (pandas, NumPy, scikit-learn, etc.) Gradient boosting frameworks (XGBoost/LightGBM/CatBoost) Experience working with LLMs (prompting, RAG, embeddings, evaluation) Ability to work across structured + unstructured ...

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 ...

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 ...

Experience with cloud technologies (AWS, Azure, or GCP) Solid understanding of financial markets and risk concepts Experience with data processing and analysis libraries (NumPy, Pandas) Nice to Have Experience with financial risk management systems or trading platforms Knowledge of quantitative finance or financial mathematics Familiarity with CI/CD pipelines ...

experience developing enterprise business intelligence and analytics solutions using Power BI, including complex data models and advanced DAX measures. Advanced proficiency in Python (Pandas) for large-scale data manipulation, transformation, and optimization, with experience using GitHub for version control. Proficiency in SQL and Azure Data Studio for data extraction, validation ...

data analysis and model prototyping to production deployment, integration, and ongoing monitoring. You are proficient in Python and its data/ML ecosystem (e.g. pandas, scikit-learn, PyTorch, TensorFlow), and you can apply statistical and machine learning techniques confidently in real-world settings. You have deployed models into live systems ...

business stakeholders to solve complex problems Produce technical documentation and support model governance activities Key Skills: *Experienced within Financial Services* Strong Python experience (pandas, NumPy, scikit-learn) Strong SQL skills Experience developing and validating machine learning models Experience with classification, ranking, and unsupervised learning techniques Experience deploying machine learning solutions ...

Senior Data Scientist you will have: At least 4 years experience in Statistics and Machine Learning Experience with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc) At least 3 years Python programming experience Experience applying models to Big Data Familiar with the principles of Continuous Integration and Deployment (CI/ ...

with engineering and product teams to transform raw data into robust, auditable, and commercially valuable solutions. Skills & Experience Technical Expertise Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL . Hands-on experience with Snowflake or similar cloud-based data warehouse platforms. Experience using Git and reproducible development practices. ...

visualisations stakeholders actually use Growing toward the harder problems we work on: forecasting, route and resource optimisation, applied ML What we work with Python — pandas, NumPy, scikit-learn Jupyter notebooks Data visualisation — matplotlib, Plotly geopandas and geospatial analysis SQL Nice to have: exposure to optimisation (OR-Tools), basic ML, QGIS ...

backend: Python, FastAPI, PostgreSQL Data & infrastructure: Snowflake, Docker, AWS (ECS, S3, etc.), Pulumi, Prefect, GitHub Actions Search: Vespa Data Science: PyTorch, Huggingface, Pydantic AI, Pandas, Spacy, Weights & Biases About You You have enthusiasm for: Building and deploying backend services that are consumed by other teams, products, or external partners Working ...

Strong software engineering fundamentals including OOP, clean code, automated testing, CI/CD and observability. Fluent in python and the python data ecosystem (e.g. pandas). Experience building large and complex data pipelines in regulated or high-integrity environments. Solid fundamentals in data modelling, SQL and database design. Ability ...

Data Scientist you will have: At least 2 years experience in Statistics and Machine Learning Experience with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc) At least 3 years Python programming experience Experience applying models to Big Data Familiar with the principles of Continuous Integration and Deployment (CI/ ...

have experience with Databricks, ideally also Azure You have experience of working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas You're excited to join a start-up in a role that you can shape and influence You're collaborative with excellent communication skills What ...

with common machine learning and model acceleration frameworks (e.g. PyTorch, ONNX, ONNX Runtime)* Experienced with Python data and matrix manipulation libraries (e.g. numpy and pandas),* Knowledgeable about Python memory management and optimising GPU usage (beneficial but not essential),* Experienced with Rust, specifically the ort crate (beneficial but not essential)* Interested ...

Skills and Criteria: Degree in Computer Science, Physics, Bioengineering, or a related field. Proficiency in Python programming, and experience with some of NumPy, SciPy, Pandas, Matplotlib, Sklearn and PyTorch. Experience with hardware integration or interfacing software with laboratory instruments. Familiarity with development lifecycles, version control, testing and documentation. Demonstrated ability ...

Python skills and can also read and understand C++ code (will also consider Java experience) You have experience with Python data libraries e.g. NumPy, Pandas You have experience of working on MFT (Mid-Frequency Trading systems) You have strong analysis and problem solving abilities You're collaborative with great communication ...

science, with a proven track record of handling large-scale, high-granularity sports datasets and feeds. ● Predictive Modeling: Deep proficiency with the PyData stack (pandas, numpy, scikit-learn, XGBoost) and advanced machine learning methods including neural networks and random forests. ● Analytical Domain Knowledge: A professional-level understanding of cricket match ...