26 to 30 of 30 Pandas Jobs in the South East

degree in a quantitative discipline (computer science, maths, engineering), with an expected graduation date of Spring 2027 or later Strong proficiency in SQL and Python (with an emphasis on Pandas, PySpark, etc.) Excel skills and visualisation skills are preferred Excellent attention to detail, organisation, and project management skills Strong verbal and written communication skills Commitment to the highest ethical standards More ❯

keen to engage in the design processes this involves. Specifically: You can write Python to a high standard and are familiar with the standard data science libraries such as pandas, scikit-learn and networkx. You are capable of developing new algorithms in novel situations and can demonstrate previous work to evidence this. You are keen to understand the data we More ❯

pressure). Communicate findings effectively to both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics or personal projects related to football data. Knowledge of advanced football metrics (possession value More ❯

Machine Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford/Remote (UK) (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that's … seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that's fusing AI, science, and engineering to More ❯

Adjust, and other MMPs Engineer features for ML models: temporal patterns, user behaviour sequences, campaign attribution Ensure data quality through comprehensive validation, deduplication, schema checks, and defensive programming Optimise pandas/Polars pipelines for performance - we process millions of events daily Handle messy real-world data: duplicates, out-of-order events, schema drift, missing fields, null handling Infrastructure & Orchestration Build … with data scientists to productionise ML workflows and model inference Requirements The ideal candidate must have... 4-6+ years building production data pipelines with demonstrable business impact Deep pandas expertise: you've built real ETL pipelines in production, understand vectorization, memory optimization, and performance patterns Deep expertise in Python and SQL with high code quality standards (e.g. ruff, mypy More ❯