Pandas Jobs in Guernsey

5 of 5 Pandas Jobs in Guernsey

Associate Software Engineer (United Kingdom)

Guernsey, UK
Tangent International
Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python 3, including pandas, GeoPandas, boto3, Pydantic, and Data Version Control (DVC). Familiar with Django 4 and core API development. Strong hands-on experience with AWS cloud infrastructure More ❯
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Senior Data Scientist (United Kingdom)

Guernsey, UK
Harnham
building and implementing forecasting models using modern ML techniques. Deep understanding of time series analysis, statistics, and forecasting methodologies. Production-level Python programming skills (Pandas, Polars, Scikit-learn, NumPy, SciPy). Comfort working in a collaborative, cross-functional environment. Please note, this role cannot offer sponsorship at this stage More ❯
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Machine Learning Engineer (United Kingdom)

Guernsey, UK
Hybrid / WFH Options
Bright Purple
technology on highly visible and large-scale projects. What you’ll bring to the role Strong grounding in ML approaches, techniques and frameworks Python, Pandas, Tensor Flow, Scikit-learn, Numpy, SciPy Experience deploying to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF etc.) Able to More ❯
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Data Consultant, Idox Software (United Kingdom)

Guernsey, UK
Idox plc
experience with Oracle, SQL Server, and PostGres SQL databases. Technical Skills: Proficiency in at least 2 of the following: SQL, PSQL, C#, Python and Pandas for data manipulation and analysis. Problem Solving: Detail-oriented with exceptional problem-solving skills, capable of troubleshooting issues quickly and efficiently. Communication: Excellent ability to More ❯
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Senior Machine Learning Engineer (United Kingdom)

Guernsey, UK
Understanding Recruitment
we like to see from you: Cloud & Infrastructure: Cloud platform expertise for multi-tenant systems. Ideas for scalable architecture with DevOps. Programming: Python prowess (pandas, FastAPI, Pydantic). Git mastery. API and database skills (e.g., PostgreSQL). ML/AI: ML model training and deployment expertise. AutoML know-how (e.g. More ❯
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