1 to 25 of 110 SciPy Jobs in the UK excluding London

/SUMIFS, charts. BI tools. Desirable PowerBI A/B testing. Split principles, test planning, logging. Desirable hard skills Python. Data analysis, pandas, numpy, scipy, statsmodels, seaborn, matplotlib etc. ETL processes. Airflow, Pentaho etc. IT understanding. Client-server processes. API. Back-end and front-end. Parsing. Algorithms and data structures. ...

/SUMIFS, charts. BI tools. Desirable PowerBI A/B testing. Split principles, test planning, logging. Desirable hard skills Python. Data analysis, pandas, numpy, scipy, statsmodels, seaborn, matplotlib etc. ETL processes. Airflow, Pentaho etc. IT understanding. Client-server processes. API. Back-end and front-end. Parsing. Algorithms and data structures. ...

hardware-focused control software. A real-depth of knowledge in Python, it's paradigms and features and working with associated libraries (i.e. NumPy/SciPy) is essential. Experience in either quantum physics, optics, control-based software or semiconductor industries desirable, but not essential. Salary ~£70,000 dependent on experience. Please ...

related field 5+ years of professional data science experience Ownership of end-to-end data science pipelines Strong Python skills (pandas, numpy, scipy, scikit-learn, statsmodels) Solid grounding in statistics and modeling Ability to define explicit, verifiable outputs Nice to Have: Cross-industry experience (finance, healthcare, telecom, government, e-commerce ...

related field 5+ years of professional data science experience Ownership of end-to-end data science pipelines Strong Python skills (pandas, numpy, scipy, scikit-learn, statsmodels) Solid grounding in statistics and modeling Ability to define explicit, verifiable outputs Nice to Have: Cross-industry experience (finance, healthcare, telecom, government, e-commerce ...

related field 5+ years of professional data science experience Ownership of end-to-end data science pipelines Strong Python skills (pandas, numpy, scipy, scikit-learn, statsmodels) Solid grounding in statistics and modeling Ability to define explicit, verifiable outputs Nice to Have: Cross-industry experience (finance, healthcare, telecom, government, e-commerce ...

related field 5+ years of professional data science experience Ownership of end-to-end data science pipelines Strong Python skills (pandas, numpy, scipy, scikit-learn, statsmodels) Solid grounding in statistics and modeling Ability to define explicit, verifiable outputs Nice to Have: Cross-industry experience (finance, healthcare, telecom, government, e-commerce ...

related field 5+ years of professional data science experience Ownership of end-to-end data science pipelines Strong Python skills (pandas, numpy, scipy, scikit-learn, statsmodels) Solid grounding in statistics and modeling Ability to define explicit, verifiable outputs Nice to Have: Cross-industry experience (finance, healthcare, telecom, government, e-commerce ...

related field 5+ years of professional data science experience Ownership of end-to-end data science pipelines Strong Python skills (pandas, numpy, scipy, scikit-learn, statsmodels) Solid grounding in statistics and modeling Ability to define explicit, verifiable outputs Nice to Have: Cross-industry experience (finance, healthcare, telecom, government, e-commerce ...

related field 5+ years of professional data science experience Ownership of end-to-end data science pipelines Strong Python skills (pandas, numpy, scipy, scikit-learn, statsmodels) Solid grounding in statistics and modeling Ability to define explicit, verifiable outputs Nice to Have: Cross-industry experience (finance, healthcare, telecom, government, e-commerce ...

related field 5+ years of professional data science experience Ownership of end-to-end data science pipelines Strong Python skills (pandas, numpy, scipy, scikit-learn, statsmodels) Solid grounding in statistics and modeling Ability to define explicit, verifiable outputs Nice to Have: Cross-industry experience (finance, healthcare, telecom, government, e-commerce ...

related field 5+ years of professional data science experience Ownership of end-to-end data science pipelines Strong Python skills (pandas, numpy, scipy, scikit-learn, statsmodels) Solid grounding in statistics and modeling Ability to define explicit, verifiable outputs Nice to Have: Cross-industry experience (finance, healthcare, telecom, government, e-commerce ...

related field 5+ years of professional data science experience Ownership of end-to-end data science pipelines Strong Python skills (pandas, numpy, scipy, scikit-learn, statsmodels) Solid grounding in statistics and modeling Ability to define explicit, verifiable outputs Nice to Have: Cross-industry experience (finance, healthcare, telecom, government, e-commerce ...

related field 5+ years of professional data science experience Ownership of end-to-end data science pipelines Strong Python skills (pandas, numpy, scipy, scikit-learn, statsmodels) Solid grounding in statistics and modeling Ability to define explicit, verifiable outputs Nice to Have: Cross-industry experience (finance, healthcare, telecom, government, e-commerce ...

related field 5+ years of professional data science experience Ownership of end-to-end data science pipelines Strong Python skills (pandas, numpy, scipy, scikit-learn, statsmodels) Solid grounding in statistics and modeling Ability to define explicit, verifiable outputs Nice to Have: Cross-industry experience (finance, healthcare, telecom, government, e-commerce ...

related field 5+ years of professional data science experience Ownership of end-to-end data science pipelines Strong Python skills (pandas, numpy, scipy, scikit-learn, statsmodels) Solid grounding in statistics and modeling Ability to define explicit, verifiable outputs Nice to Have: Cross-industry experience (finance, healthcare, telecom, government, e-commerce ...

related field 5+ years of professional data science experience Ownership of end-to-end data science pipelines Strong Python skills (pandas, numpy, scipy, scikit-learn, statsmodels) Solid grounding in statistics and modeling Ability to define explicit, verifiable outputs Nice to Have: Cross-industry experience (finance, healthcare, telecom, government, e-commerce ...

related field 5+ years of professional data science experience Ownership of end-to-end data science pipelines Strong Python skills (pandas, numpy, scipy, scikit-learn, statsmodels) Solid grounding in statistics and modeling Ability to define explicit, verifiable outputs Nice to Have: Cross-industry experience (finance, healthcare, telecom, government, e-commerce ...

related field 5+ years of professional data science experience Ownership of end-to-end data science pipelines Strong Python skills (pandas, numpy, scipy, scikit-learn, statsmodels) Solid grounding in statistics and modeling Ability to define explicit, verifiable outputs Nice to Have: Cross-industry experience (finance, healthcare, telecom, government, e-commerce ...

related field 5+ years of professional data science experience Ownership of end-to-end data science pipelines Strong Python skills (pandas, numpy, scipy, scikit-learn, statsmodels) Solid grounding in statistics and modeling Ability to define explicit, verifiable outputs Nice to Have: Cross-industry experience (finance, healthcare, telecom, government, e-commerce ...

related field 5+ years of professional data science experience Ownership of end-to-end data science pipelines Strong Python skills (pandas, numpy, scipy, scikit-learn, statsmodels) Solid grounding in statistics and modeling Ability to define explicit, verifiable outputs Nice to Have: Cross-industry experience (finance, healthcare, telecom, government, e-commerce ...

related field 5+ years of professional data science experience Ownership of end-to-end data science pipelines Strong Python skills (pandas, numpy, scipy, scikit-learn, statsmodels) Solid grounding in statistics and modeling Ability to define explicit, verifiable outputs Nice to Have: Cross-industry experience (finance, healthcare, telecom, government, e-commerce ...

related field 5+ years of professional data science experience Ownership of end-to-end data science pipelines Strong Python skills (pandas, numpy, scipy, scikit-learn, statsmodels) Solid grounding in statistics and modeling Ability to define explicit, verifiable outputs Nice to Have: Cross-industry experience (finance, healthcare, telecom, government, e-commerce ...

related field 5+ years of professional data science experience Ownership of end-to-end data science pipelines Strong Python skills (pandas, numpy, scipy, scikit-learn, statsmodels) Solid grounding in statistics and modeling Ability to define explicit, verifiable outputs Nice to Have: Cross-industry experience (finance, healthcare, telecom, government, e-commerce ...

related field 5+ years of professional data science experience Ownership of end-to-end data science pipelines Strong Python skills (pandas, numpy, scipy, scikit-learn, statsmodels) Solid grounding in statistics and modeling Ability to define explicit, verifiable outputs Nice to Have: Cross-industry experience (finance, healthcare, telecom, government, e-commerce ...