176 to 200 of 760 Pandas Jobs

independently based on requirements Experience leading discussions with customer stakeholders to align on requirements and technical implementations 7+ years' demonstrated experience with: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using Python libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills/Experience: Experience with Python More ❯

Responsibilities: - AWS Data Science Tools: Hands-on with SageMaker, Lambda, Step Functions, S3, Athena. - OCR Development: Experience with Amazon Textract, Tesseract, and LLM-based OCR. - Python Expertise: Skilled in Pandas, NumPy, scikit-learn, PyTorch, Hugging Face Transformers; modular, testable code. - ML Models: Proficient in regression, classification, clustering, and time-series forecasting. - Business Insight: Translate business needs into data-driven solutions More ❯

practices Experience with interfacing with customer stakeholders to align on requirements and technical implementations Required Skills: Minimum 3-5 years' experience with: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using Python libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills/Experience: Experience with Python More ❯

Responsibilities: - AWS Data Science Tools: Hands-on with SageMaker, Lambda, Step Functions, S3, Athena. - OCR Development: Experience with Amazon Textract, Tesseract, and LLM-based OCR. - Python Expertise: Skilled in Pandas, NumPy, scikit-learn, PyTorch, Hugging Face Transformers; modular, testable code. - ML Models: Proficient in regression, classification, clustering, and time-series forecasting. - Business Insight: Translate business needs into data-driven solutions More ❯

of the art in machine learning algorithms for text analytics Demonstrated experience with machine learning frameworks such as PyTorch, Keras, Tensorflow Demonstrated experience with data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc) Demonstrated experience with NoSQL data stores such as MongoDB or DynamoDB Demonstrated experience using Natural Language Processing tools such as spaCy, NLTK, Stanford CoreNLP, or Gensim Natural More ❯

an AI/ML Engineer (freelance or employed), with portfolio or examples Proficiency in Python and frameworks like TensorFlow, PyTorch, Scikit-learn Experience in data engineering workflows and tools (Pandas, Spark, etc.) Strong understanding of model deployment tools (Docker, FastAPI, MLflow, etc.) Familiarity with cloud environments (AWS, Azure, or GCP) Solid grasp of AI ethics, model fairness, and regulatory requirements More ❯

data transformation systems. Experience with alerting, observability, and monitoring tools like Datadog, Grafana, Prometheus. Designing high-availability workflows with SLOs > 0.99, using scheduling systems like AirFlow. Proficiency in Python, Pandas, and SQL (Snowflake, Postgres). Strong code-review skills and ability to write robust, maintainable, and generalizable code. Nice to have, but not required Experience with parallel computing patterns and More ❯

Understanding/experience analyzing US Treasury and/or European government bond markets preferred Strong proficiency in Python programming and data manipulation libraries and experience dealing with datasets (e.g., Pandas, NumPy, SciPy) Experience with Dash/Plotly or other visualization software highly desirable Experience with database programming languages (e.g. kdb, SQL) Strong knowledge of MS Excel (especially using real-time More ❯

pySpark and SQL for data mining; additional experience and knowledge of Big Data tools preferred. Excellent Python programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualisation and API libraries (matplotlib, plotly, streamlit, Flask, etc). Understanding of Gen AI models, Vector databases, Agents, and More ❯

pySpark and SQL for data mining; additional experience and knowledge of Big Data tools preferred. Excellent Python programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualisation and API libraries (matplotlib, plotly, streamlit, Flask, etc). Understanding of Gen AI models, Vector databases, Agents, and More ❯

across systems. Collaborate with data analysts, scientists, and engineering teams to support advanced analytics. Monitor and improve pipeline performance, scalability, and reliability. Required Skills Python for data engineering (e.g., pandas, NumPy, pyodbc, SQLAlchemy, etc.) Strong experience in Power BI (DAX, Power Query, data modeling, publishing dashboards) Advanced SQL skills (joins, CTEs, indexing, optimization) Experience with relational databases (e.g., SQL Server More ❯

classes of investors, and to create a model of the detailed side letter terms for specific investors. Languages they use here are Python 3.7, C++ 17, SQL/MariaDB, Pandas, and HTML5, CSS and HTTP web technologies. Requirements Expert in Python coding and proficient with C++, HTML and relational databases A natural leader with strong interpersonal and communication skills and More ❯

Mathematics, Physics, or a related field Strong proficiency in Python and writing scalable backend systems Experience working with cloud platforms such as GCP , AWS, or Azure Solid knowledge of Pandas for data analysis and manipulation Familiarity with software testing best practices and writing clean, testable code Competency in Git, CI/CD, and working within large codebases Experience with Infrastructure More ❯

English Degree in Computer Science, Engineering, Physics, Math or other field with strong software programming curriculum Nice to have: Web scraping and data analysis experience with Python tools (Scrapy, pandas, NumPy) Some experience in machine learning Contribution to open source projects Position: Freelance Position: Freelance Work Schedule: Full-time Remote: No Relocation: Yes Salary: £50k or higher based on experience More ❯

a transparent environment, engaging with the whole investment process Preferred Technical Skills Expert in Python and/or KDB/Q Proficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn) with machine learning experience Good understanding of using Slurm or similar parallel computing tools Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM More ❯

a transparent environment, engaging with the whole investment process Preferred Technical Skills Expert in Python and/or KDB/Q Proficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn) with machine learning experience Good understanding of using Slurm or similar parallel computing tools Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM More ❯

a transparent environment, engaging with the whole investment process Preferred Technical Skills Expert in Python and/or KDB/Q Proficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn) with machine learning experience Good understanding of using Slurm or similar parallel computing tools Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM More ❯

2+ years of hands-on ML experience in real-world settings Advanced degree in statistics, mathematics, computer science, or similar Strong background in Python, SQL, and key libraries (NumPy, Pandas, Scikit-Learn) Solid understanding of machine learning algorithms, time series forecasting, and model evaluation Familiarity with cloud platforms (AWS and/or GCP) Experience with productionising models using tools like More ❯

Processing team. Join a small, ambitious team working closely with Java and Data Science teams to build and support infrastructure for Credit Risk Management, using technologies like FastAPI, Pandera, Pandas, and Pydantic. The role involves collaboration, architecture development, code review, and supporting data science infrastructure. Remote work is possible with occasional office visits; based anywhere in the UK with the More ❯

creating tools and frameworks to improve the efficiency of testing, implementing, and monitoring trading pipelines. The role focuses heavily on Python engineering with the developer using Python libraries (e.g., Pandas) for data manipulation and working within an event-driven architecture using Kafka for data transformations. Although experience with tools like Amazon S3 and Kafka is beneficial, the primary focus is More ❯

class Bachelor's or Master's degree in a relevant discipline Strong Python programming skills Strong understanding of algorithms, data structures, and performance optimization Experience with scientific Python libraries (pandas, numpy, etc) Understanding of time series data Basic understanding of statistics and data analysis Modern version control Testing frameworks, continuous integration, and deployment Experience working with network filesystems Linux computing More ❯

Solid understanding of Python , especially in the context of automating data processes, integrating APIs, and implementing machine learning models to enhance data analysis capabilities. Experience with Python libraries like Pandas or NumPy is a plus. Practical experience working with key financial metrics , including revenue, retention, churn, and customer lifetime value, along with a deep understanding of how to extract actionable More ❯

released. Key Responsibilities: • Be the point of contact to our client representing Grey Matters Defense Solutions with their software releases About you: • 3+ years experience using Python SciPy NumPy Pandas Boto3 • 3+ years experience using AWS C2S Integration S3 SQS SNS AWS CLI • 3+ years experience using Linux Bash RHEL Derivatives • Integration ICD Documents and Updates Working with groups to More ❯

Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field. Programming Proficiency: Strong programming skills in Python and must be comfortable with common dataset libraries e.g. pandas, polars, numpy, duckdb etc. Quantitative Skills: Solid understanding of quantitative finance and statistical methods. Trading Knowledge: Familiarity with the trading process and financial markets. System Design: Experience in designing and More ❯

etc.) Experience with molecular property prediction and multi-objective optimization using machine learning and/or deep learning methods Experienced with common python toolkits for scientific computing (e.g., numpy, pandas, scipy), machine learning (e.g., scikit-learn, pytorch), and cheminformatics/bioinformatics (e.g., rdkit, openeye, biotite, biopython) Familiarity running simulations and training models on high-performance computing (GPU) environments for corporate More ❯