16 of 16 Permanent Pandas Jobs in the City of London

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 ...

Sociology, Physics, Engineering, Computer Science, etc. (a Master’s Degree or higher is a plus) Solid data analytics skills; proven proficiency with SQL, Python & Pandas is a must The ability to understand business problems, draw conclusions from data and recommend actions on how best to solve these problems Strong communications ...

/Tablea u) Skills & Competenc ies Technical Sk illsStrong understanding of data modelling, machine learning frameworks, and statistical anal ysisProficiency in Python libraries (Pandas, NumPy, Scikit-le arn)Good exposure to Azure and Databr icksExperience working with structured and unstructured data sets Core Compete nciesStrong analytical and problem-solving ...

deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring ...

availability architectures Improved CI/CD velocity and reduced incident frequency materially Must-Have Qualifications Advanced knowledge of Python and related frameworks (FastAPI, NumPy, Pandas, Pydantic) including multithreading and parallel design principles Expertise in JavaScript and frameworks such as ReactJS, with solid frontend experience Strong understanding of RESTful API design ...

toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network ...

Python or R, SQL, No SQL. Assist in developing predictive and statistical models Write and optimize queries using SQL. Familiarity with data manipulation libraries (Pandas, NumPy), Understanding of statistics and probability. Hands-on experience with ML libraries like Scikit-learn, TensorFlow, or PyTorch. Preferred Skills: Hands on experience in coding ...

hands-on experience in a Data Science or Analytics role Strong foundation in statistics, hypothesis testing, regression, and experimental design Proficiency in Python (pandas, numpy, statsmodels, scikit-learn) SQL experience for data wrangling and analysis Experience with marketing analytics and causal inference - Marketing Mix Modeling (MMM) and Attribution Modeling have ...

backend: Python, FastAPI, PostgreSQL Data & infrastructure: Snowflake, Docker, AWS (ECS, S3, etc.), Pulumi, Prefect, GitHub Actions Search: Vespa Data Science: PyTorch, Huggingface, Pydantic AI, Pandas, Spacy, Weights & Biases About You You have enthusiasm for: Building and deploying backend services that are consumed by other teams, products, or external partners Working ...

record of owning meaningful systems end-to-end. Strong, idiomatic Python — performance-aware, well-tested, well-structured. Comfortable with the numerical stack (NumPy/pandas or similar) and with what makes Python fast or slow. Distributed/parallel compute experience — ideally Ray, but strong experience with another distributed framework (Dask ...

Strong software engineering fundamentals including OOP, clean code, automated testing, CI/CD and observability. Fluent in python and the python data ecosystem (e.g. pandas). Experience building large and complex data pipelines in regulated or high-integrity environments. Solid fundamentals in data modelling, SQL and database design. Ability ...

toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network ...

model. Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Familiarity with best practice in Machine Learning workflows and MLOps tools. Fluency in validation and evaluation framework and metrics frameworks ...

science, with a proven track record of handling large-scale, high-granularity sports datasets and feeds. ● Predictive Modeling: Deep proficiency with the PyData stack (pandas, numpy, scikit-learn, XGBoost) and advanced machine learning methods including neural networks and random forests. ● Analytical Domain Knowledge: A professional-level understanding of cricket match ...

Python, including use of NumPy and other scientific libraries. A passion for working with data/dataframes and solving data-related challenges. Strong Pandas experience is required. Minimum bachelors degree in a STEM subject at a reputable academic institution. A desire to work closely with Researchers and accelerate their research. ...

Bonus Salary: Up to £120k + Bonus Location: London (Hybrid) Skills: Python as a core skill (experience working with frameworks such as Flask, Django, Pandas etc....) This firm is a fintech firm with high tech standards who have previously set tech world records. They are made up of some exceptionally ...