18 of 18 Remote Pandas Jobs in the City of London

workstreams to elevate team capability. Essential Skills & Experience Proven experience in analytics engineering , data engineering , or model development roles. Advanced proficiency in Python (including libraries such as NumPy and Pandas) and SQL . Demonstrated ability to deliver production-ready solutions in a commercial environment. Strong communication skills with the ability to engage stakeholders and translate technical work into business outcomes. More ❯

with world-class data scientists and engineers. Essential skills: Strong Python programming skills Experience with AI/ML libraries (TensorFlow, PyTorch, scikit-learn, etc) Familiarity with data engineering tools (Pandas, NumPy, Spark) Knowledge of cloud platforms (AWS, GCP or Azure) and Docker/Kubernetes Solid understanding of software engineering best practices (Git, CI/CD, testing) Bonus: experience with NLP More ❯

with world-class data scientists and engineers. Essential skills: Strong Python programming skills Experience with AI/ML libraries (TensorFlow, PyTorch, scikit-learn, etc) Familiarity with data engineering tools (Pandas, NumPy, Spark) Knowledge of cloud platforms (AWS, GCP or Azure) and Docker/Kubernetes Solid understanding of software engineering best practices (Git, CI/CD, testing) Bonus: experience with NLP More ❯

for real-time and batch data pipelines. Required Qualifications A degree in Computer Science, Engineering, Mathematics, Physics, or a related STEM field. Strong proficiency in Python (including libraries like pandas, numpy, etc.). Solid experience with SQL and working with large datasets. Familiarity with Git, CI/CD workflows, and Docker. Hands-on experience with at least one cloud platform More ❯

for real-time and batch data pipelines. Required Qualifications A degree in Computer Science, Engineering, Mathematics, Physics, or a related STEM field. Strong proficiency in Python (including libraries like pandas, numpy, etc.). Solid experience with SQL and working with large datasets. Familiarity with Git, CI/CD workflows, and Docker. Hands-on experience with at least one cloud platform More ❯

Gain unique exposure to ESG data processing and financial services technology Essential Requirements 📜 Education: Degree in Computer Science, Mathematics, or related field Technical Skills: Strong proficiency in Python (particularly Pandas) Solid SQL skills Experience with cloud infrastructure (AWS preferred) Data engineering/development experience (1+ year) Experience: Previous work in small team environments Ability to hit the ground running and More ❯

Gain unique exposure to ESG data processing and financial services technology Essential Requirements 📜 Education: Degree in Computer Science, Mathematics, or related field Technical Skills: Strong proficiency in Python (particularly Pandas) Solid SQL skills Experience with cloud infrastructure (AWS preferred) Data engineering/development experience (1+ year) Experience: Previous work in small team environments Ability to hit the ground running and More ❯

and MLOps tooling to build scalable, reliable solutions Communicating data-driven insights and influencing both technical and business stakeholders What We’re Looking For Expert-level Python (scikit-learn, pandas, etc.), SQL, and big data platforms (e.g. Databricks) Proven experience with MLOps : deploying, monitoring, and scaling models in production Strong cloud experience (AWS, GCP, or Azure) and comfort with CI More ❯

and MLOps tooling to build scalable, reliable solutions Communicating data-driven insights and influencing both technical and business stakeholders What We’re Looking For Expert-level Python (scikit-learn, pandas, etc.), SQL, and big data platforms (e.g. Databricks) Proven experience with MLOps : deploying, monitoring, and scaling models in production Strong cloud experience (AWS, GCP, or Azure) and comfort with CI More ❯

recently completed Master’s degree 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 handling large datasets A passion More ❯

recently completed Master’s degree 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 handling large datasets A passion More ❯

or similar domains with forecasting needs. Skills and competencies Essential: Experience working with Python or R in a production or research setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational More ❯

or similar domains with forecasting needs. Skills and competencies Essential: Experience working with Python or R in a production or research setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational More ❯

simulation. Their solutions enable engineers to design, manufacture, and operate advanced systems more efficiently than ever before. They’re looking for someone who: Has strong Python skills (NumPy, SciPy, Pandas, TensorFlow or PyTorch) Brings experience in data-driven modelling, probabilistic methods, and deep learning Enjoys working directly with customers and solving complex engineering problems Can build scalable data pipelines and More ❯

simulation. Their solutions enable engineers to design, manufacture, and operate advanced systems more efficiently than ever before. They’re looking for someone who: Has strong Python skills (NumPy, SciPy, Pandas, TensorFlow or PyTorch) Brings experience in data-driven modelling, probabilistic methods, and deep learning Enjoys working directly with customers and solving complex engineering problems Can build scalable data pipelines and More ❯

to drive results. What you'll bring Minimum bachelors degree in a STEM subject at a reputable academic institution. 3+ years professional experience in Python including use of NumPy, Pandas and other scientific libraries. Experience working in a Linux environment. A desire to work closely with Researchers and accelerate their research. The ability to self-manage, self-motivate, and seek More ❯

to drive results. What you'll bring Minimum bachelors degree in a STEM subject at a reputable academic institution. 3+ years professional experience in Python including use of NumPy, Pandas and other scientific libraries. Experience working in a Linux environment. A desire to work closely with Researchers and accelerate their research. The ability to self-manage, self-motivate, and seek More ❯

business leaders make informed decisions through robust data engineering and analysis. Key Responsibilities Perform complex data manipulation, analysis, and modelling to support senior stakeholders. Build scalable solutions using Python (Pandas, NumPy) and SQL for large, complex datasets. Contribute to data pipelines and workflows on Google Cloud Platform (BigQuery) . Translate business requirements into effective data engineering solutions. Work closely with … services experts in the asset management, investments, and reinsurance domains. Must Have Domain knowledge: Strong background in asset management, investments, or reinsurance. Python expertise: Proven experience with data libraries (Pandas, NumPy). SQL: Advanced data manipulation and querying skills. Cloud experience: GCP/BigQuery (or similar cloud platforms). Education: Degree in Investments, Accounting, Actuarial Science, or related discipline from More ❯