51 to 75 of 111 Permanent Pandas Jobs

non-standard mathematical problems End-to-end experience with data, including querying, aggregation, analysis, and visualization Strong competencies in Python for data analysis using the python data science libraries (Pandas/NumPy/SciPy/Scikit-learn). Strong SQL skills for data retrieval, basic analysis, and data cleansing. Strong knowledge and application of object-oriented design and software best More ❯

and refining them to strong results. Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. Knowledge of Langchain More ❯

in ML and AI , or other deep learning-related independent project work with evidence of completion. Experience with data ingestion or processing tools and frameworks, such as Docling, Spark, Pandas, Feast, Airflow, NumPy . Experience with retrieval augmented generation approaches, including vector databases and dense retrieval methods. Knowledgeable in various synthetic data generation approaches, such as GANs, VAEs, or rule More ❯

Top Skills: - Python - Machine Learning - JavaScript - Numpy and Pandas is a plus - This position requires an active DoD Clearance (Secret, Top Secret, Top Secret/SCI) or the ability to be obtain an (Interim Secret, Interim Top Secret) - Because an active or interim DoD clearance is required, U.S. Citizenship is required Eligibility requirements apply to some benefits and may depend More ❯

ingest data. Consult with internal and external stakeholders then deliver the solution. Experience required: STEM/Computer Science Degree OR sufficient commercial experience Good skills with Python. Use of Pandas is a bonus Experience building Data Pipelines/ETL using Python Experience consuming with REST API services 1 years commercial experience with Python or languages such as JAVA, PHP, Go More ❯

ingest data. Consult with internal and external stakeholders then deliver the solution. Experience required: STEM/Computer Science Degree OR sufficient commercial experience Good skills with Python. Use of Pandas is a bonus Experience building Data Pipelines/ETL using Python Experience consuming with REST API services 1 years commercial experience with Python or languages such as JAVA, PHP, Go More ❯

Well-versed in Python. Strong team player. Strong communication skills. Software Developer tech stack: Python > 3.5 with type hints, data classes, and Flask REST API. Postgres for relational data, Pandas for data analysis, and Google Cloud Pub/Sub for messaging. Cloud Build for automated builds, and Cloud Run/Docker for containerisation. Google Cloud Platform is used for infrastructure. More ❯

temporal modeling and deep learning. Document methods and support reproducibility, validation, and publication where appropriate. Essential Requirements Strong programming and modeling skills in Python (NumPy, PyTorch or TensorFlow, SciPy, pandas). In-depth knowledge of machine learning for time-series, including RNNs, LSTMs, GRUs, transformers, attention mechanisms. Solid understanding of probabilistic models (HMMs, Bayesian inference, graphical models). Experience designing More ❯

Washington DC/Northern Virginia with occasional travel to client sites. A degree in Computer Science or a related field. 3+ years of hands-on experience with Python coding (pandas, numpy, sklearn, TensorFlow, PyTorch, etc.). Proven experience deploying machine learning models into production environments. Proficiency with SQL/NoSQL databases, version control tools (e.g., Git), Docker, and Kubernetes. Strong More ❯

to contextualize hardware-generated data and troubleshoot data inconsistencies. Qualifications: Strong experience with Tableau (dashboard design, advanced calculations, performance optimization). Proficiency in Python (data analysis libraries such as Pandas, NumPy, Matplotlib/Seaborn). Solid background in data analysis, statistics, and visualization best practices. Experience with data uploads, ETL workflows, and handling hardware-generated files (CSV, JSON, etc.). More ❯

in Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with stakeholders and translate their needs into actionable data solutions. Solid understanding of data More ❯

in Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with stakeholders and translate their needs into actionable data solutions. Solid understanding of data More ❯

Looking For: Strong programming skills in Python (PyTorch, Hugging Face, scikit-learn). Experience with fine-tuning/adapting pre-trained AI models . Solid data handling skills (SQL, Pandas, preprocessing for text, audio, or images). Familiarity with model deployment (FastAPI, Flask, Docker, cloud services). Experience working with APIs and integrating AI into practical tools. Bonus if you More ❯

degree in Computer Science (or related field). 3+ years of experience writing production-grade Python code. 3+ years of hands-on experience with core Python data libraries (e.g., pandas, numpy, sklearn, tensorflow, pytorch, matplotlib). At least 1 year of experience deploying machine learning models in production environments. 1-2 years of experience working with SQL/NoSQL databases More ❯

experience in data science or a quantitative academic field. Strong programming skills, with the ability to quickly become fluent in Python. Deep knowledge of core data science libraries (NumPy, Pandas, Scikit-Learn) and at least one deep learning framework (TensorFlow, PyTorch, or similar). High mathematical and statistical competence, with the ability to design new algorithms when needed. Experience leading More ❯

accuracy. Requirements: 5+ years of experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Strong Python skills (including libraries like Pandas, NumPy, Scikit-learn); experience with other languages is a plus Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads More ❯

accuracy. Requirements: 5+ years of experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Strong Python skills (including libraries like Pandas, NumPy, Scikit-learn); experience with other languages is a plus Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads More ❯

projects with commercial teams, providing technical guidance during early phases Mentor junior data scientists and guide professional development across the team Work hands-on with Python, ML libraries (NumPy, Pandas, Scikit-Learn, PyTorch, TensorFlow), and statistical modelling Translate real-world problems into mathematical frameworks and deploy scalable solutions Contribute to the wider data science community through thought leadership, teaching, and More ❯

skills with 10+ years of experience Expert-level FastAPI development for building scalable APIs Proficiency with async/await patterns and concurrent programming Experience with Python ML libraries (NumPy, Pandas, scikit-learn) Knowledge of testing frameworks (pytest, unittest) and CI/CD practices Cloud & Infrastructure Hands-on experience with Google Cloud Platform (GCP) Proficiency with containerization (Docker) and orchestration (Kubernetes More ❯

analytics, or similar roles, with at least 2 years in fintech, payments, or financial services. Solid grounding in statistics, machine learning, and data engineering principles. Experience with Python (e.g., pandas, scikit-learn, seaborn) and SQL (Postgres preferred) for advanced data manipulation. Familiarity with the modern data stack (Databricks). Strong track record of delivering commercial and operational impact through data More ❯

Vision, or related technical discipline. Good knowledge of machine learning and computer vision algorithms. Familiarity with real-time imaging pipelines. Experience with scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit's, etc. Experience in standard software engineering practices including version control systems and software testing methodologies. Excellent oral and written communication skills. Analytical thinker, attentive to details More ❯

gradient-boosted models (e.g., XGBoost, LightGBM) and/or building LLM-powered systems (e.g. tool/function calling, prompt design, evals) for text-heavy tasks. Solid data skills: SQL, pandas, experiment tracking, and cloud deployment (AWS a plus). A passion for AI/ML, shown through personal projects, a well-maintained GitHub portfolio, blog posts, or contributions to the More ❯

on Data Science operations Technical Skills: Python Proficiency: Strong Python programming skills, with experience in developing and maintaining analytics packages and tools. Familiarity with data science libraries such as pandas and scikit-learn SQL: Proficient in SQL, particularly with cloud data warehouses like Snowflake Statistical Methodology: In-depth knowledge of GLMs and other machine learning algorithms Data Tools: Familiarity with More ❯

this role? Degree in a quantitative discipline such as mathematics, statistics, engineering, or physics (postgraduate qualification preferred). Proficiency in Python (preferred) or R, with experience in libraries like pandas, scikit-learn, statsmodels, Pyomo, or similar tools. Strong expertise in time series forecasting, stochastic modelling, and optimisation under uncertainty. Experience with linear or mixed-integer optimisation methods, ideally within an More ❯

Azure Occasionally the employee might be part of collaborations across different teams and must report to different project managers.Role Requirements Advanced programming with Python and related data science libraries (pandas, numpy, scipy, etc) at least 2 years, possibly at production level Data science skills: statistical analyses, machine learning techniques. Previous experience in statistical matching and segmentation techniques is a great More ❯