20 of 20 SciPy Jobs in the UK

concise documentation and analysis. NICE TO HAVE BUT NOT ESSENTIAL Proficient in python’s various data transformation, visualisation and statistics libraries i.e. pandas, numpy , scipy and plotly Experience leading a team or owning a whole product domain PROCESS 1) Screening call with recruiter - 30 mins 2) Take home Case Study ...

calling, agentic workflows), including evaluation and safety patterns. Expertise with machine learning frameworks and data science packages (e.g., PyTorch, TensorFlow, Scikit‐Learn, NumPy, Pandas, SciPy, statsmodels). Experience deploying to AWS (e.g., SageMaker, Bedrock) and operating production workloads with attention to cost, performance, security, and scaling. Experience integrating human ...

leading the delivery of data science or AI projects from concept to production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment ...

Exposure to recommendation algorithms, NLP, or People Analytics is a major plus. Python Mastery: Fluent in Python and specialized machine learning libraries (scikit-learn, SciPy, statsmodels). Experience with NLP frameworks (spaCy, HuggingFace, or text embeddings) is highly valued. Statistical Rigor: Solid foundation in applied statistics, including clustering, predictive modeling ...

Exposure to recommendation algorithms, NLP, or People Analytics is a major plus. Python Mastery: Fluent in Python and specialized machine learning libraries (scikit-learn, SciPy, statsmodels). Experience with NLP frameworks (spaCy, HuggingFace, or text embeddings) is highly valued. Statistical Rigor: Solid foundation in applied statistics, including clustering, predictive modeling ...

Science, Computer Science, Engineering, Mathematics, Physics, Chemistry, or similar. Strong proficiency in Python and familiarity with core data science libraries such as pandas, numpy, scipy, statsmodels, or scikit-learn. Experience crafting predictive models, especially against time-series or operational sensor data. Knowledge of cloud platforms, preferably Azure, and a good ...

structured, or unstructured data, especially large-scale text or content datasets. Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib. The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical thinking, problem ...

industry setting (excluding post‐doc positions), with exposure to: building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; developing models for bespoke problem settings that involve high‐dimensional data (spatiotemporal, geometric, physical); iterating on network ...

building machine learning models and pipelines in Python, using common libraries and frameworks (PyTorch/CUDA, ideally with exposure to JAX, NumPy/SciPy), especially including deep learning applications; developing models for bespoke problem settings that involve high‐dimensional data (spatiotemporal, geometric, physical); iterating on network architectures and model structure ...

Job Description My client is a London-based financial-services company who are actively seeking a Senior Python Quant Developer to join on an initial 12-month contract basis.What you'll need to succeed: Extensive ...

simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare). Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn). Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks). Develop problems requiring … have portfolio of completed projects and publications showcasing real-world problem-solving. You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels). You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications. ...

simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare). Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn). Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks). Develop problems requiring … have portfolio of completed projects and publications showcasing real-world problem-solving. You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels). You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications. ...

simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare). Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn). Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks). Develop problems requiring … have portfolio of completed projects and publications showcasing real-world problem-solving. You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels). You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications. ...

simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare). Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn). Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks). Develop problems requiring … have portfolio of completed projects and publications showcasing real-world problem-solving. You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels). You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications. ...

simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare). Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn). Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks). Develop problems requiring … have portfolio of completed projects and publications showcasing real-world problem-solving. You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels). You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications. ...

simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare). Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn). Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks). Develop problems requiring … have portfolio of completed projects and publications showcasing real-world problem-solving. You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels). You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications. ...

simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare). Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn). Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks). Develop problems requiring … have portfolio of completed projects and publications showcasing real-world problem-solving. You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels). You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications. ...

simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare). Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn). Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks). Develop problems requiring … have portfolio of completed projects and publications showcasing real-world problem-solving. You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels). You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications. ...

simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare). Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn). Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks). Develop problems requiring … have portfolio of completed projects and publications showcasing real-world problem-solving. You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels). You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications. ...

simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare). Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn). Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks). Develop problems requiring … have portfolio of completed projects and publications showcasing real-world problem-solving. You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels). You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications. ...