251 to 259 of 259 Remote Pandas Jobs

Master’s in Data Science, Computer Science, Mathematics, Statistics, Sports Science, or a related field. Additional Qualities We Value: Experience working with large datasets and using tools such as Pandas, Scikit-Learn, or similar. Any experience training or implementing Large Language Models and related generative AI technologies would be a plus. Strong time management skills and the ability to break More ❯

Desirable but not essential: Experience with dashboarding tools such as Tableau or PowerBI. Experience with using Python to manipulate data and as a tool for analysis (for example using Pandas). Desirable but not essential: Experience using cloud platforms such as GIT, SageMaker or Data Bricks. KNOWLEDGE: What You know Academic Qualifications: Degree in numerate/statistical subject, or equivalent More ❯

holds a minimum of a Bachelor's degree in a scientific or technological field, or possesses equivalent industry experience. Experience with at least Python and associated libraries such as Pandas, requests, and selenium. Experience with spreadsheets and databases. A person with strong analytical and problem-solving skills that genuinely enjoys tackling complex challenges. Someone who demonstrates an ability to quickly More ❯

covering prompt engineering, fine-tuning, domain adaptation (Experience with RAG and AI agents is considered an advantage). Expertise in Python and any data processing frameworks and pipelines (e.g. pandas, kedro, kafka streams). Knowledge of backend development for deploying production-grade models. Ability to communicate complex technical concepts to both technical and business audiences. Benefits Enjoy the flexibility of More ❯

Computer Programming, Data Analysis, Databases, Data Management, Data Mining, Data Quality, Data Visualization, Deep Learning, Graph Algorithms, High-Performance Computing, Logistic Regression Model, Machine Learning (Ml), Master Data Management, Pandas (Python), Python (Programming Language), R (Programming Language), Random Forest Algorithm, Sql (Structured Query Language), Statistical Modeling, Time Series Analysis More ❯

accuracy and record checks. Proficiency in data extraction tools (e.g., Advantage, AdDynamix, Sysomos, Google Trends, Analytics, Double Click) and the ability to teach others. Proficiency in Excel, SQL, Python, Pandas, Analytics Workbench; working towards expert knowledge in these tools. Building Models: Model building, validation, sales effects, ROIs, media optimisation Oversee or build comprehensive base models per project specs, understanding variables More ❯

Desirable but not essential: Experience with dashboarding tools such as Tableau or PowerBI. Experience with using Python to manipulate data and as a tool for analysis (for example using Pandas). Desirable but not essential: Experience using cloud platforms such as GIT, SageMaker or Data Bricks. KNOWLEDGE: What You know Academic Qualifications: Degree in numerate/statistical subject, or equivalent More ❯

machine learning engineers in assessing and troubleshooting our latest technology for particular protein targets. Data Analysis & Interpretation: Analyse and interpret biological and chemical data using tools such as Python (Pandas/Polars) or KNIME. Collaborate Effectively: Work within multi-disciplinary project teams (including medicinal chemists, biologists, DMPK scientists, AI/ML researchers) and manage relationships with external CROs under guidance. More ❯

and able to teach others in their use. Be aware of alternatives and the PROs/CONs of the tool. Proficiency in using Excel/SQL/Python/Pandas/Analytics Workbench to process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools/approaches. Building Models: Model building More ❯