126 to 150 of 222 Pandas Jobs in England

products, and interpreting insights to support data literacy across the organisation. Required Skills:Extensive experience in data analysis using python, especiallyusing libraries such as Pandas and NumPy Relevant experience with Power BI or similar tools such as Tableau or Qlik for data storytelling, data visualisation and reporting Strong programming skills ...

Required qualifications, capabilities, and skills Proven experience developing data pipelines and solutions on Databricks. Strong proficiency in Python, including libraries for data transformation (e.g., pandas). Solid understanding of ETL concepts, data modelling, and pipeline design. Experience with Spark and cloud data platforms. Ability to document data flows and transformation ...

Deep proficiency in PD model development and validation, with strong knowledge of calibration techniques. Advanced Python and SQL skills; familiar with XGBoost, scikit-learn, pandas, MLFlow. Experience with explainability frameworks such as SHAP, LIME, PDP. Ability to communicate technical concepts clearly and influence cross-functional decisions. Familiarity with real-time ...

time-series work Data and ML pipelines built for production, not demos Dashboards and tools that non-technical users can act on Python (Pandas, scikit-learn, PyTorch/TensorFlow), Spark and AWS Why it's worth a look Real operational deployment, not endless proofs of concept Direct contact with ...

Skills and Knowledge Strong programming skills in Python (mandatory), with experience in C++, Java, or similar languages. Proficiency in data handling and analysis using Pandas, NumPy, and SQL. Familiarity with cloud-based solutions and version control (Git). Solid understanding of risk modelling, margin methodologies, and derivatives pricing. Knowledge ...

Publisher: Build interactive OAS dashboards, analyses, and BI Publisher data models, layouts, bursting, and automated schedules. Python Automation: Design production-grade Python scripts (pandas, oracledb, SQLAlchemy, openpyxl, etc.) to replace Access macros, automate extraction, and deliver automated report packs. Testing & Delivery: Conduct parallel runs, complete data reconciliation, establish rollback plans ...

programming with Java, C++ or another object-oriented language Experience performing data analysis in Python, including proficiency with data science libraries (e.g., NumPy, pandas) and visualisation tools Ability to translate quantitative models into reliable, maintainable production code Effective interpersonal and communication skills; ability to collaborate with traders, quantitative researchers ...

from those datasets. The ideal candidate should have strong Python and SQL skills and be proficient in data science libraries such as scikit-learn, pandas and XGBoost, as well as transformer-based NLP techniques. We are looking for someone who works well in a fast-moving team and communicates effectively ...

confidence intervals, and causal inference Experience designing and evaluating marketing experiments and lift studies Advanced SQL skills and hands-on Python experience, ideally including pandas, scikit-learn, statsmodels, or similar libraries Familiarity with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments Understanding of digital advertising platforms ...

experience with: Data Quality Data Governance techniques Knowledge of: MLOps Feature Engineering Exposure to data analysis and ML tools such as: scikit-learn pandas NumPy XGBoost LightGBM Familiarity with orchestration tools: Apache Oozie Apache Airflow Why you’ll love it here We want to make Prima a happy and empowering ...

. Good understanding of data analysis, statistical modelling and machine learning techniques. Experience using AI/ML frameworks and libraries including TensorFlow, PyTorch, Keras, Pandas, Matplotlib and Scikit-learn. Knowledge of mathematics including calculus, probability, statistics, linear algebra and optimisation. Strong computer science fundamentals including algorithms, data structures and parallel ...

Pulumi) and containerization (Docker and AWS ECS/Kubernetes). Experience with Kafka. Experience working alongside data scientists in the "PyData" ecosystem (Numpy, Pandas) is desirable. Familiarity with some of the other tools in our stack is desirable: Redis Postgres Airflow Spark This is a hybrid role based in London ...

role, including entity/relationship modelling, data profiling, and analysis on real business content Working knowledge of Python and SQL for data analysis, including pandas and notebook-based workflows, and one or more of: scikit-learn, spaCy (or another NLP library), or graph libraries Experience applying data-science techniques (statistical ...

role, including entity/relationship modelling, data profiling, and analysis on real business content Working knowledge of Python and SQL for data analysis, including pandas and notebook-based workflows, and one or more of: scikit-learn, spaCy (or another NLP library), or graph libraries Experience applying data-science techniques (statistical ...

data science or quantitative academic role, underpinned by high mathematical and statistical competence. You are a strong Python programmer, proficient in essential libraries (NumPy, Pandas) and a deep-learning framework (TensorFlow/PyTorch). You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time-series ...

Deep understanding of Python Familiarity with Linux, bash, and the command line Familiarity with modern statistical machine learning and AI, including Numpy, Scipy, and Pandas Ability to write logical, consistent, self-explanatory code Understanding of software design patterns, SOLID and DRY principles, and architectural patterns Experience with Git/GitHub ...

with collaborative software development Familiarity with Linux, bash, and the command line Experience with modern statistical machine learning and AI, including Numpy, Scipy, and Pandas Ability to write logical, consistent, self-explanatory code Understanding of software design patterns, SOLID and DRY principles Experience with Git/GitHub and best practices ...

commodity markets, quantitative research and trading*** Strong quantitative, analytical and modelling skills* Strong **Python** skills for data analysis and modelling, including extensive experience with pandas and related libraries* Experience in data visualisation/dashboarding, ideally **Power BI*** An understanding of data engineering fundamentals including scheduling, automation, reproducibility, with a focus ...

Doctorate degree in Computer Science or related field Programming Skills : Advanced proficiency in Python, with hands-on experience in data science libraries (especially pandas) and a strong understanding of dataframe architecture for data manipulation, transformation, and analysis. Familiarity with Python-based data visualization tools is a plus. Database and Query ...

Data Science Data Visualization Deep Learning Generative AI Graph Algorithms Learning Agility Machine Learning (ML) Machine Learning Algorithms Neuro-Linguistic Programming (NLP) Organizational Awareness Pandas Python Library Python (Programming Language) R Programming Stakeholder Engagement Statistical Analysis Structured Query Language (SQL) Time Series Analysis Additional Information for China Candidates ...

clear and 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 Additional Information BENEFITS: Base salary of £60k - £85k (based on experience ...

experience working within financial services, banking, fintech, payments, risk management, or e-commerce environments. 3+ years of experience performing advanced analytics using Python (including pandas, scikit-learn, and matplotlib), R, or similar analytical tools. Strong proficiency with SQL and Excel for data analysis, reporting, and performance monitoring. Experience investigating fraud ...

REST/GraphQL) Machine Learning: Foundations of MLflow, Weights & Biases, LoRA, PEFT, SageMaker, Vertex AI, AzureML, Kubeflow, Airflow, Prefect, TorchServe, Triton, vLLM, SHAP, LIME, pandas, Spark, SQL LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management Performance & observability: Skilled in debugging distributed systems, tuning ...

REST/GraphQL) Machine Learning: Foundations of MLflow, Weights & Biases, LoRA, PEFT, SageMaker, Vertex AI, AzureML, Kubeflow, Airflow, Prefect, TorchServe, Triton, vLLM, SHAP, LIME, pandas, Spark, SQL LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management Performance & observability: Skilled in debugging distributed systems, tuning ...

Data Analyst, ideally within FinTech or Financial Services Exposure to Derivatives or other Financial instruments Strong SQL experience Strong Python experience (PySpark, Pandas, Jupyter Notebooks etc.) Airflow/Algo for workflow management Git Any exposure to compressed file formats, such as Parquet or HDF5, is highly advantageous Linux/Bash ...