1 to 25 of 31 Remote Pandas Jobs in the City of London

or senior role. Proven experience in a startup or fast-paced environment. Strong proficiency in Python, SQL, and data science libraries (e.g., scikit-learn, pandas, TensorFlow/PyTorch). Experience working with financial data, risk modelling, or algorithmic trading is a plus. Familiarity with cloud platforms (AWS, GCP, or Azure More ❯

including 3+ years of Python in production (e.g., Flask, Django, Gunicorn, SQLAlchemy, Psycopg2). Strong background in working with large datasets using tools like Pandas, NumPy, or Spark. At least 2 years' experience with machine learning, deep learning, or AI systems. Familiarity with key libraries and frameworks such as TensorFlow More ❯

including 3+ years of Python in production (e.g., Flask, Django, Gunicorn, SQLAlchemy, Psycopg2). Strong background in working with large datasets using tools like Pandas, NumPy, or Spark. At least 2 years' experience with machine learning, deep learning, or AI systems. Familiarity with key libraries and frameworks such as TensorFlow More ❯

including 3+ years of Python in production (e.g., Flask, Django, Gunicorn, SQLAlchemy, Psycopg2). Strong background in working with large datasets using tools like Pandas, NumPy, or Spark. At least 2 years' experience with machine learning, deep learning, or AI systems. Familiarity with key libraries and frameworks such as TensorFlow More ❯

on the hunt for a Senior Backend Engineer (Python) to take ownership of core systems powering demand forecasting and stock optimisation. Tech stack : Python, Pandas, GCP/AWS, CI/CD, Terraform What you’ll do : Build forecasting models from the ground up Optimise stock movement across the supply chain More ❯

on the hunt for a Senior Backend Engineer (Python) to take ownership of core systems powering demand forecasting and stock optimisation. 🔧 Tech stack : Python, Pandas, GCP/AWS, CI/CD, Terraform 🧠 What you’ll do : Build forecasting models from the ground up Optimise stock movement across the supply chain More ❯

on the hunt for a Senior Backend Engineer (Python) to take ownership of core systems powering demand forecasting and stock optimisation. 🔧 Tech stack : Python, Pandas, GCP/AWS, CI/CD, Terraform 🧠 What you’ll do : Build forecasting models from the ground up Optimise stock movement across the supply chain More ❯

engineering, product, and commercial teams What we’re looking for: 2+ years' experience in data analysis or data science (financial data) Proficient in Python (Pandas, NumPy, Matplotlib, etc.) Experience with APIs (REST/WebSocket) and time series datasets Strong communicator, comfortable translating complex data for non-technical stakeholders Self-starter More ❯

engineering, product, and commercial teams What we’re looking for: 2+ years' experience in data analysis or data science (financial data) Proficient in Python (Pandas, NumPy, Matplotlib, etc.) Experience with APIs (REST/WebSocket) and time series datasets Strong communicator, comfortable translating complex data for non-technical stakeholders Self-starter More ❯

delivery team solving real-world trading challenges What We’re Looking For 8+ years of professional experience in Python application development Solid knowledge of Pandas, PySpark, and modern testing (PyTest) Strong background in Azure cloud services (Databricks, ADF, Key Vaults, etc.) Experience developing web UIs using ReactJS, TypeScript Familiarity with More ❯

delivery team solving real-world trading challenges 🎯 What We’re Looking For 8+ years of professional experience in Python application development Solid knowledge of Pandas, PySpark, and modern testing (PyTest) Strong background in Azure cloud services (Databricks, ADF, Key Vaults, etc.) Experience developing web UIs using ReactJS, TypeScript Familiarity with More ❯

delivery team solving real-world trading challenges 🎯 What We’re Looking For 8+ years of professional experience in Python application development Solid knowledge of Pandas, PySpark, and modern testing (PyTest) Strong background in Azure cloud services (Databricks, ADF, Key Vaults, etc.) Experience developing web UIs using ReactJS, TypeScript Familiarity with More ❯

from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience More ❯

from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience More ❯

a quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with the More ❯

a quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with the More ❯

a quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with the More ❯

join their mission to build a sustainable future? Responsibilities Build and deploy ML models for energy and climate data. Create data pipelines using Python (pandas, scikit-learn, TensorFlow). Apply quant skills to optimise energy systems. Collaborate on greentech strategies. Requirements: Advanced Python programming. Strong quantitative skills (stats, modelling). More ❯

join their mission to build a sustainable future? Responsibilities Build and deploy ML models for energy and climate data. Create data pipelines using Python (pandas, scikit-learn, TensorFlow). Apply quant skills to optimise energy systems. Collaborate on greentech strategies. Requirements: Advanced Python programming. Strong quantitative skills (stats, modelling). More ❯

join their mission to build a sustainable future? Responsibilities Build and deploy ML models for energy and climate data. Create data pipelines using Python (pandas, scikit-learn, TensorFlow). Apply quant skills to optimise energy systems. Collaborate on greentech strategies. Requirements: Advanced Python programming. Strong quantitative skills (stats, modelling). More ❯

and requirements: Demonstrated experience as a Data Engineer scaling Data heavy platforms Strong understanding of ETL pipelines and Data Architectures Python, SQL & Python libraries (Pandas & Spark) Modern Data Warehousing tools AWS/GCP experience Experience working in high-growth start-up or scale-up environments (essential) Hybrid working in Central More ❯

and requirements: Demonstrated experience as a Data Engineer scaling Data heavy platforms Strong understanding of ETL pipelines and Data Architectures Python, SQL & Python libraries (Pandas & Spark) Modern Data Warehousing tools AWS/GCP experience Experience working in high-growth start-up or scale-up environments (essential) Hybrid working in Central More ❯

and requirements: Demonstrated experience as a Data Engineer scaling Data heavy platforms Strong understanding of ETL pipelines and Data Architectures Python, SQL & Python libraries (Pandas & Spark) Modern Data Warehousing tools AWS/GCP experience Experience working in high-growth start-up or scale-up environments (essential) Hybrid working in Central More ❯

and requirements: Demonstrated experience as a Data Engineer scaling Data heavy platforms Strong understanding of ETL pipelines and Data Architectures Python, SQL & Python libraries (Pandas & Spark) Modern Data Warehousing tools AWS/GCP experience Experience working in high-growth start-up or scale-up environments (essential) Hybrid working in Central More ❯

of data science in finance, insurance or Ecommerce is an advantage but not required. Experience with neural networks and Tensor Flow, CatBoost, XGBoost, SKlearn, Pandas If you hold the experience and technical skills outlined above which would enable you to hit the ground running, please apply to find out more More ❯