24 of 24 Permanent Pandas Jobs in Cheshire

Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python 3, including pandas, GeoPandas, boto3, Pydantic, and Data Version Control (DVC). Familiar with Django 4 and core API development. Strong hands-on experience with AWS cloud infrastructure More ❯

Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python 3, including pandas, GeoPandas, boto3, Pydantic, and Data Version Control (DVC). Familiar with Django 4 and core API development. Strong hands-on experience with AWS cloud infrastructure More ❯

Science, Engineering, or a related field (or equivalent practical experience). Technical Skills: Deep expertise in Python, including libraries such as Django, Flask, FastAPI, Pandas and NumPy. Strong knowledge of relational and non-relational databases (e.g., PostgreSQL, MongoDB, Redis). Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and containerization More ❯

Science, Engineering, or a related field (or equivalent practical experience). Technical Skills: Deep expertise in Python, including libraries such as Django, Flask, FastAPI, Pandas and NumPy. Strong knowledge of relational and non-relational databases (e.g., PostgreSQL, MongoDB, Redis). Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and containerization More ❯

or CloudFormation) Solid understanding of testing frameworks and version control systems (e.g. Git) Nice to Have: Experience with data engineering tools such as Airflow, Pandas, or Spark Exposure to serverless architectures using AWS Lambda Familiarity with monitoring and logging tools (e.g. CloudWatch, Prometheus) Previous experience working in regulated or high More ❯

or CloudFormation) Solid understanding of testing frameworks and version control systems (e.g. Git) Nice to Have: Experience with data engineering tools such as Airflow, Pandas, or Spark Exposure to serverless architectures using AWS Lambda Familiarity with monitoring and logging tools (e.g. CloudWatch, Prometheus) Previous experience working in regulated or high More ❯

driven architectures Clear communicator with experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments More ❯

driven architectures Clear communicator with experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments More ❯

of Python. Strong English proficiency. Desirable Qualifications Knowledge of any machine learning framework (e.g. Torch, huggingface, ...) and/or data analysis platform (e.g. Pandas). Past experience with open source projects. Past experience in community engagement projects. Familiarity with Scrum/Agile software development practices. Our Offer Competitive salary More ❯

of Python. Strong English proficiency. Desirable Qualifications Knowledge of any machine learning framework (e.g. Torch, huggingface, ...) and/or data analysis platform (e.g. Pandas). Past experience with open source projects. Past experience in community engagement projects. Familiarity with Scrum/Agile software development practices. Our Offer Competitive salary More ❯

reliability and cost, or improving our search service Tech Stack: Platform: AWS, Pulumi, Docker, Prefect, Github actions, Grafana cloud monitoring Data Science: Python, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Argilla, Weights and Biases Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, AWS Batch, Lambda, S3 Frontend: React, Next.js Key skills and experience More ❯

reliability and cost, or improving our search service Tech Stack: Platform: AWS, Pulumi, Docker, Prefect, Github actions, Grafana cloud monitoring Data Science: Python, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Argilla, Weights and Biases Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, AWS Batch, Lambda, S3 Frontend: React, Next.js Key skills and experience More ❯

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 ❯

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 ❯

technology on highly visible and large-scale projects. What you’ll bring to the role Strong grounding in ML approaches, techniques and frameworks Python, Pandas, Tensor Flow, Scikit-learn, Numpy, SciPy Experience deploying to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF etc.) Able to More ❯

technology on highly visible and large-scale projects. What you’ll bring to the role Strong grounding in ML approaches, techniques and frameworks Python, Pandas, Tensor Flow, Scikit-learn, Numpy, SciPy Experience deploying to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF etc.) Able to More ❯

leadership Implement validation frameworks, unit tests, and monitoring pipelines Stay current with advances in machine learning and apply them where appropriate Tech Stack: Python (Pandas, Polars, SciPy, Scikit-learn, NumPy) Dagster, Argo, GCP Kibana, Elastic DevOps-first approach for model deployment Skills & Experience: Essential: Strong background in statistics, machine learning More ❯

run better. What you’ll do Interrogate large datasets in SQL to analyse depot efficiency, delivery timelines, stock levels, and service bottlenecks Use Python (Pandas, NumPy, scikit-learn/statsmodels) to apply performance models or forecasting where needed Build and maintain some Power BI dashboards — but you won’t be More ❯

run better. What you’ll do Interrogate large datasets in SQL to analyse depot efficiency, delivery timelines, stock levels, and service bottlenecks Use Python (Pandas, NumPy, scikit-learn/statsmodels) to apply performance models or forecasting where needed Build and maintain some Power BI dashboards — but you won’t be More ❯

making. Required Qualifications: Basic knowledge of Python and/or SQL. Interest in data analytics, statistics, or machine learning. Familiarity with tools like Excel, Pandas, Numpy, or visualization libraries. Strong communication and time management skills. Preferred (Not Mandatory): Previous coursework, projects, or online certifications in data science. Understanding of data More ❯

making. Required Qualifications: Basic knowledge of Python and/or SQL. Interest in data analytics, statistics, or machine learning. Familiarity with tools like Excel, Pandas, Numpy, or visualization libraries. Strong communication and time management skills. Preferred (Not Mandatory): Previous coursework, projects, or online certifications in data science. Understanding of data More ❯

Computer Science, Mathematics, Statistics, or a related field. Solid understanding of probability, statistics, and linear algebra. Proficiency in Python, including libraries like scikit-learn, pandas, seaborn, and matplotlib. Experience writing and optimising SQL queries for data retrieval and manipulation. Desirable Experience Ability to communicate complex insights effectively. Detail-oriented with More ❯

communication and organizational skills. Preferred (Not Mandatory): Exposure to data visualization tools like Tableau, Power BI, or Looker. Experience with Python for data analysis (Pandas, Matplotlib, etc.). Academic or personal projects involving data analytics or reporting. Knowledge of statistical concepts or business KPIs. Who Can Apply: Students or recent More ❯

communication and organizational skills. Preferred (Not Mandatory): Exposure to data visualization tools like Tableau, Power BI, or Looker. Experience with Python for data analysis (Pandas, Matplotlib, etc.). Academic or personal projects involving data analytics or reporting. Knowledge of statistical concepts or business KPIs. Who Can Apply: Students or recent More ❯