151 to 175 of 306 Pandas Jobs in the UK

Experience with Natural Language Processing & Large Language Models Experience building Data Science tools or Agentic Frameworks Experience in AdTech or data-driven marketing Experience with scikit-learn or keras, pandas, and numpy Expert understanding of SQL & Python programming More ❯

Experience with Natural Language Processing & Large Language Models Experience building Data Science tools or Agentic Frameworks Experience in AdTech or data-driven marketing Experience with scikit-learn or keras, pandas, and numpy Expert understanding of SQL & Python programming More ❯

excellent knowledge across commodities (Power/Energy/Gas), who is technically well versed in systematic trading development, and analysis data-sets (time series, market-data). Stack: Python, Pandas, SQL, AWS The team has a flat structure, where developers are interfaced with PMs and traders, to ensure the software systems created are bespoke. If you're looking to join More ❯

excellent knowledge across commodities (Power/Energy/Gas), who is technically well versed in systematic trading development, and analysis data-sets (time series, market-data). Stack: Python, Pandas, SQL, AWS The team has a flat structure, where developers are interfaced with PMs and traders, to ensure the software systems created are bespoke. If you're looking to join More ❯

s or PhD degree in 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. Strong communication skills with the ability to present complex data insights to non-technical stakeholders. Willingness to take More ❯

AWS/GCP Key skills 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 London Pays £70k-£80k Unfortunately More ❯

AWS/GCP Key skills 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 London Pays £100k-£120k Unfortunately More ❯

AWS/GCP Key skills 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 London Pays £100k-£120k Unfortunately More ❯

AWS/GCP Key skills 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 London Pays £100k-£120k Unfortunately More ❯

AWS/GCP Key skills 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 London Pays £100k-£120k Unfortunately More ❯

s or PhD degree in 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 ability to present complex data More ❯

s or PhD degree in 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 ability to present complex data More ❯

tools used for portfolio monitoring and strategy evaluation Candidate Profile: Strong academic background in a quantitative discipline (e.g. maths, finance, engineering, computer science) Hands-on experience with Python (especially Pandas, NumPy) and SQL A solid understanding of, or interest in, financial markets and investment strategies Exposure to performance or risk analysis through internships, projects or coursework is a plus Detail More ❯

tools used for portfolio monitoring and strategy evaluation Candidate Profile: Strong academic background in a quantitative discipline (e.g. maths, finance, engineering, computer science) Hands-on experience with Python (especially Pandas, NumPy) and SQL A solid understanding of, or interest in, financial markets and investment strategies Exposure to performance or risk analysis through internships, projects or coursework is a plus Detail More ❯

tools used for portfolio monitoring and strategy evaluation Candidate Profile: Strong academic background in a quantitative discipline (e.g. maths, finance, engineering, computer science) Hands-on experience with Python (especially Pandas, NumPy) and SQL A solid understanding of, or interest in, financial markets and investment strategies Exposure to performance or risk analysis through internships, projects or coursework is a plus Detail More ❯

tools used for portfolio monitoring and strategy evaluation Candidate Profile: Strong academic background in a quantitative discipline (e.g. maths, finance, engineering, computer science) Hands-on experience with Python (especially Pandas, NumPy) and SQL A solid understanding of, or interest in, financial markets and investment strategies Exposure to performance or risk analysis through internships, projects or coursework is a plus Detail More ❯

is highly preferred! Strong experience building and implementing forecasting models using modern ML techniques. Deep understanding of time series analysis, statistics, and forecasting methodologies. Production-level Python programming skills (Pandas, Polars, Scikit-learn, NumPy, SciPy). Comfort working in a collaborative, cross-functional environment. Please note, this role cannot offer sponsorship at this stage More ❯

and have a secret love for 'ARIMA models.' Qualifications: A strong background in mathematics, statistics, or a related field Proficiency in Python, with experience using libraries such as NumPy, Pandas, and Scikit-Learn Familiarity with high-frequency trading strategies and market microstructure The ability to stare at screens for extended periods of time without going blind A passion for solving More ❯

and again. Proven track record delivering impactful ML/AI solutions in production. Deep expertise in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, Pandas). Hands-on experience with GenAI, agentic AI, and automated testing for AI systems. Curiosity and creativity to challenge assumptions and explore new approaches. Strong communication skills and a passion More ❯

and again. Proven track record delivering impactful ML/AI solutions in production. Deep expertise in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, Pandas). Hands-on experience with GenAI, agentic AI, and automated testing for AI systems. Curiosity and creativity to challenge assumptions and explore new approaches. Strong communication skills and a passion More ❯

and again. Proven track record delivering impactful ML/AI solutions in production. Deep expertise in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, Pandas). Hands-on experience with GenAI, agentic AI, and automated testing for AI systems. Curiosity and creativity to challenge assumptions and explore new approaches. Strong communication skills and a passion More ❯

and again. Proven track record delivering impactful ML/AI solutions in production. Deep expertise in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, Pandas). Hands-on experience with GenAI, agentic AI, and automated testing for AI systems. Curiosity and creativity to challenge assumptions and explore new approaches. Strong communication skills and a passion More ❯

work with the latest technology on highly visible, large-scale projects. What you'll bring to the role Strong grounding in ML approaches, techniques, and frameworks Proficiency in Python, Pandas, TensorFlow, Scikit-learn, Numpy, SciPy Experience deploying models to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF, etc.) Ability to work with databases such as More ❯

tools. Ideal Candidate Profile Up to 1 year of Python experience, with familiarity in frameworks like Flask or Django. Basic knowledge of SQL and experience with data manipulation libraries (Pandas, NumPy). Organized, self-motivated, and effective at time management. Strong critical thinking and teamwork skills. This is a fantastic opportunity to grow within a supportive and dynamic team, contributing More ❯

tools. Ideal Candidate Profile Up to 1 year of Python experience, with familiarity in frameworks like Flask or Django. Basic knowledge of SQL and experience with data manipulation libraries (Pandas, NumPy). Organized, self-motivated, and effective at time management. Strong critical thinking and teamwork skills. This is a fantastic opportunity to grow within a supportive and dynamic team, contributing More ❯