126 to 150 of 330 Pandas Jobs in the UK

execute trades in commodities markets (e.g., oil, gas). The PM is keen to get someone from a data engineering background. Tech: Python, SQL, Pandas, AWS, ETL, Airflow Please apply if this fits. More ❯

/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 More ❯

/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 More ❯

management. Minimum Requirements: 2+ years of experience as a data scientist. Strong programming skills in Python and experience with data science tools such as Pandas, NumPy, and SciPy. Strong statistical and modeling skills. Strong communication and collaboration skills. Experience in the energy industry is a plus. Benefits: Competitive salary and More ❯

Front Office environments is also something which will be essential to your success in this role. Tech Stack: Angular C# .NET Azure Python (FastAPI, Pandas, Numpy) Event driven architecture As a member of the Application Development team, you'll be responsible for designing, developing, and delivering production software as well More ❯

Front Office environments is also something which will be essential to your success in this role. Tech Stack: Angular C# .NET Azure Python (FastAPI, Pandas, Numpy) Event driven architecture As a member of the Application Development team, you'll be responsible for designing, developing, and delivering production software as well More ❯

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 A passion for solving complex problems and generating profits through clever trading strategies More ❯

Senior Quantitative Analyst – Sports betting Hedge fund – London Skills: Python stack (numpy, pandas etc.), R, TensorFlow. *Please note this role cannot sponsor. Please do not apply if you are seeking sponsorship* Job Summary Senior Quantitative Researcher is required for exciting and progressive Sports betting Hedge fund Company based in London. More ❯

Senior Quantitative Analyst – Sports betting Hedge fund – London Skills: Python stack (numpy, pandas etc.), R, TensorFlow. *Please note this role cannot sponsor. Please do not apply if you are seeking sponsorship* Job Summary Senior Quantitative Researcher is required for exciting and progressive Sports betting Hedge fund Company based in London. More ❯

Solid understanding of open banking, bank transaction data, or personal finance categorisation. Hands-on experience with Python (and relevant libraries such as scikit-learn, pandas, spaCy, or similar) and SQL. Experience working with raw, messy transactional data and transforming it into structured outputs. Strong background in model training, and validation. More ❯

improve the efficiency of testing, implementing, and monitoring trading pipelines. The role focuses heavily on Python engineering with the developer using Python libraries (e.g., Pandas) for data manipulation and working within an event-driven architecture using Kafka for data transformations. Although experience with tools like Amazon S3 and Kafka is More ❯

improve the efficiency of testing, implementing, and monitoring trading pipelines. The role focuses heavily on Python engineering with the developer using Python libraries (e.g., Pandas) for data manipulation and working within an event-driven architecture using Kafka for data transformations. Although experience with tools like Amazon S3 and Kafka is More ❯

such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science More ❯

such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science More ❯

such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science More ❯

learning applications such as recommendation systems, segmentation, and marketing optimisation. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in Jupyter notebooks, Pandas, and PyTorch. Familiarity with cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong problem-solving skills and a passion for driving measurable More ❯

learning applications such as recommendation systems, segmentation, and marketing optimisation. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in Jupyter notebooks, Pandas, and PyTorch. Familiarity with cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong problem-solving skills and a passion for driving measurable More ❯

Factory, Synapse Analytics). Proven experience in leading and managing a team of data engineers. Proficiency in programming languages such as PySpark, Python (with Pandas if no PySpark), T-SQL, and SparkSQL. Strong understanding of data modeling, ETL processes, and data warehousing concepts. Knowledge of CI/CD pipelines and More ❯

Factory, Synapse Analytics). Proven experience in leading and managing a team of data engineers. Proficiency in programming languages such as PySpark, Python (with Pandas if no PySpark), T-SQL, and SparkSQL. Strong understanding of data modeling, ETL processes, and data warehousing concepts. Knowledge of CI/CD pipelines and More ❯

in trading. Skills : Strong understanding of multivariate statistics, time-series analysis, machine learning, and optimization. Strong programming skills in Python, including libraries like NumPy, Pandas, and Scikit-learn. Familiarity with Q/KDB and Git. Strong mathematical ability in linear algebra and calculus. More ❯

of engineering experience, at least 1 year in a leadership role. Strong knowledge of Machine Learning. Advanced knowledge of Python & DS packages (numpy/pandas/sklearn/keras, etc.); ability to optimize and speed up code. Solid experience with SQL (MySQL, Google BigQuery); understanding of data warehousing and ETL More ❯

B grades at A-level You have commercial Data Engineering experience working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas You have a good understanding of modern data engineering best practices Ideally you will also have experience with Azure and Data Bricks You're excited More ❯

machine learning, or equivalent experience across the data science lifecycle. Deep knowledge of statistical hypothesis testing and ML modeling techniques. Proficiency in Python (Numpy, Pandas, Scikit-learn) and SQL. Effective communication skills across diverse audiences. Experience with A/B testing in e-commerce is a plus. Perks of Working More ❯

machine learning, or equivalent experience across the data science lifecycle. Deep knowledge of statistical hypothesis testing and ML modeling techniques. Proficiency in Python (Numpy, Pandas, Scikit-learn) and SQL. Effective communication skills across diverse audiences. Experience with A/B testing in e-commerce is a plus. Perks of Working More ❯

in a STEM subject, preferably from a Russell Group University. Strong mathematical and statistical background; expertise in Python and R, including libraries like Numpy, Pandas, Pytorch and Scikit-learn. Demonstrable experience in data science and a proven track record in developing predictive models. Experience contributing to a software project/ More ❯