26 to 50 of 59 Pandas Jobs in the East of England

recently completed) B.Tech/BE/M.Tech/MSc in Data Science, Computer Science, Statistics, or related fields Proficiency in Python + core libraries (Pandas, NumPy, Matplotlib/Seaborn, Scikit-learn) Familiarity with SQL for querying relational datasets Sound understanding of ML fundamentals – supervised/unsupervised learning methods Strong statistics ...

recently completed) B.Tech/BE/M.Tech/MSc in Data Science, Computer Science, Statistics, or related fields Proficiency in Python + core libraries (Pandas, NumPy, Matplotlib/Seaborn, Scikit-learn) Familiarity with SQL for querying relational datasets Sound understanding of ML fundamentals – supervised/unsupervised learning methods Strong statistics ...

algorithms and techniques, including LLMs, GenAI, and automated AI systems. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn). Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience ...

with analytical platforms such as Tableau and ThoughtSpot Key Skills & Experience: • Strong Python skills for data manipulation, scripting, and automating tasks using libraries like Pandas and NumPy. • Proficiency in SQL for querying, transforming, and managing data within databases. • Strong troubleshooting skills for resolving data pipeline issues • Familiarity with Tableau ...

Computer Science, or a 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 ...

Computer Science, or a 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 ...

Computer Science, or a 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 ...

Computer Science, or a 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 ...

Computer Science, or a 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 ...

Computer Science, or a 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 ...

Computer Science, or a 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 ...

Computer Science, or a 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 ...

Physics Applied Mathematics Engineering Scientific Computing 5+ years of computational or numerical problem-solving experience Strong Python skills (NumPy, SciPy, Pandas; sklearn where relevant) Experience validating numerical or algorithmic results Strong bonus if you have: Research or post-doctoral experience HPC or simulation-heavy work Experience designing benchmarks, problem sets ...

Physics Applied Mathematics Engineering Scientific Computing 5+ years of computational or numerical problem-solving experience Strong Python skills (NumPy, SciPy, Pandas; sklearn where relevant) Experience validating numerical or algorithmic results Strong bonus if you have: Research or post-doctoral experience HPC or simulation-heavy work Experience designing benchmarks, problem sets ...

Physics Applied Mathematics Engineering Scientific Computing 5+ years of computational or numerical problem-solving experience Strong Python skills (NumPy, SciPy, Pandas; sklearn where relevant) Experience validating numerical or algorithmic results Strong bonus if you have: Research or post-doctoral experience HPC or simulation-heavy work Experience designing benchmarks, problem sets ...

Physics Applied Mathematics Engineering Scientific Computing 5+ years of computational or numerical problem-solving experience Strong Python skills (NumPy, SciPy, Pandas; sklearn where relevant) Experience validating numerical or algorithmic results Strong bonus if you have: Research or post-doctoral experience HPC or simulation-heavy work Experience designing benchmarks, problem sets ...

Physics Applied Mathematics Engineering Scientific Computing 5+ years of computational or numerical problem-solving experience Strong Python skills (NumPy, SciPy, Pandas; sklearn where relevant) Experience validating numerical or algorithmic results Strong bonus if you have: Research or post-doctoral experience HPC or simulation-heavy work Experience designing benchmarks, problem sets ...

Physics Applied Mathematics Engineering Scientific Computing 5+ years of computational or numerical problem-solving experience Strong Python skills (NumPy, SciPy, Pandas; sklearn where relevant) Experience validating numerical or algorithmic results Strong bonus if you have: Research or post-doctoral experience HPC or simulation-heavy work Experience designing benchmarks, problem sets ...

Physics Applied Mathematics Engineering Scientific Computing 5+ years of computational or numerical problem-solving experience Strong Python skills (NumPy, SciPy, Pandas; sklearn where relevant) Experience validating numerical or algorithmic results Strong bonus if you have: Research or post-doctoral experience HPC or simulation-heavy work Experience designing benchmarks, problem sets ...

fundamentals & analytical thinking Data collection, cleaning, and preprocessing techniques Exploratory Data Analysis (EDA) SQL for data querying and analysis Python for data analysis (NumPy, Pandas, Matplotlib, Seaborn) Guide learners through real-world datasets, case studies, and hands-on assignments Support learners during doubt-resolution sessions and interactive discussions Required Skills ...

fundamentals & analytical thinking Data collection, cleaning, and preprocessing techniques Exploratory Data Analysis (EDA) SQL for data querying and analysis Python for data analysis (NumPy, Pandas, Matplotlib, Seaborn) Guide learners through real-world datasets, case studies, and hands-on assignments Support learners during doubt-resolution sessions and interactive discussions Required Skills ...

fundamentals & analytical thinking Data collection, cleaning, and preprocessing techniques Exploratory Data Analysis (EDA) SQL for data querying and analysis Python for data analysis (NumPy, Pandas, Matplotlib, Seaborn) Guide learners through real-world datasets, case studies, and hands-on assignments Support learners during doubt-resolution sessions and interactive discussions Required Skills ...

fundamentals & analytical thinking Data collection, cleaning, and preprocessing techniques Exploratory Data Analysis (EDA) SQL for data querying and analysis Python for data analysis (NumPy, Pandas, Matplotlib, Seaborn) Guide learners through real-world datasets, case studies, and hands-on assignments Support learners during doubt-resolution sessions and interactive discussions Required Skills ...

fundamentals & analytical thinking Data collection, cleaning, and preprocessing techniques Exploratory Data Analysis (EDA) SQL for data querying and analysis Python for data analysis (NumPy, Pandas, Matplotlib, Seaborn) Guide learners through real-world datasets, case studies, and hands-on assignments Support learners during doubt-resolution sessions and interactive discussions Required Skills ...

fundamentals & analytical thinking Data collection, cleaning, and preprocessing techniques Exploratory Data Analysis (EDA) SQL for data querying and analysis Python for data analysis (NumPy, Pandas, Matplotlib, Seaborn) Guide learners through real-world datasets, case studies, and hands-on assignments Support learners during doubt-resolution sessions and interactive discussions Required Skills ...