14 of 14 Matplotlib Jobs in Manchester

unit testing and tools – JUnit, Mockito, PyTest, Selenium. Strong working knowledge of the PyData stack – pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation. Experience with data analysis and troubleshooting data-related issues. Knowledge of design patterns and software architectures. Familiarity with CI/ More ❯

proficiency in data manipulation libraries (e.g., Pandas, NumPy). Experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow) and data visualization tools (e.g., Tableau, Matplotlib). Solid understanding of statistics, probability, and data-driven decision-making. Experience working with databases (SQL) and data warehousing solutions. Strong problem-solving skills and More ❯

Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/seaborn, scikit-learn, TensorFlow, Pytorch etc. SQL: Advanced querying for large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data Access & Engineering More ❯

Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/seaborn, scikit-learn, TensorFlow, Pytorch etc. SQL: Advanced querying for large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data Access & Engineering More ❯

or a related field Strong understanding of probability, statistics, and linear algebra Proficiency in Python, including libraries such as scikit-learn, pandas, seaborn, and matplotlib Experience writing and optimising SQL queries for data retrieval and manipulation Ability to communicate complex insights in a simple and effective manner Detail-oriented with More ❯

of data science concepts such as data preparation, exploration, modeling, applicable to structured or unstructured data. Proficiency with data science tools like Jupyter, pandas, matplotlib, seaborn, numpy. Experience with API testing and security tools such as Postman, Burp Suite, OWASP ZAP. Knowledge of database management systems like MySQL. Hands-on More ❯

of data science concepts such as data preparation, exploration, modeling, applicable to structured or unstructured data. Experience with data science tools like Jupyter, pandas, matplotlib, seaborn, numpy. Experience with API testing and security tools such as Postman, Burp Suite, OWASP ZAP. Knowledge of database management systems like MySQL. Hands-on More ❯

in building and maintaining efficient data pipelines to support data science initiatives. Data Visualization : Expertise in using visualization tools (e.g., Power BI, Tableau, or matplotlib) to present complex data insights. End-to-End Project Delivery : Proven experience taking a data science project from concept to deployment, including model evaluation and More ❯

the ability to apply this process when handling structured or unstructured data Confident with using common data science tooling such as Jupyter notebooks, pandas, matplotlib, seaborn, numpy API testing and security tools: Postman, Burp Suite, OWASP ZAP, etc. Strong knowledge of database management systems (DBMS) such as MySQL Hands-on More ❯

the ability to apply this process when handling structured or unstructured data Confident with using common data science tooling such as Jupyter notebooks, pandas, matplotlib, seaborn, numpy API testing and security tools: Postman, Burp Suite, OWASP ZAP, etc. Strong knowledge of database management systems (DBMS) such as MySQL Hands-on More ❯

strong foundation in data structures, algorithms, data modelling, and software architecture. Solid hands- on experience in Python and its ecosystem ( Jupyter, Pandas, Scikit- learn, Matplotlib), and comfort working with SQL for data analysis. Experience with LangChain is a plus. Experience of delivering AI and ML- based products into production environments More ❯

unit testing and tools – JUnit, Mockito, PyTest, Selenium. Strong working knowledge of the PyData stack – pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation. Experience with data analysis and troubleshooting data-related issues. Knowledge of design patterns and software architectures Familiarity with CI/… unit testing and tools – JUnit, Mockito, PyTest, Selenium. Strong working knowledge of the PyData stack – pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation. Experience with data analysis and troubleshooting data-related issues. Knowledge of design patterns and software architectures Familiarity with CI/ More ❯

Get AI-powered advice on this job and more exclusive features. This range is provided by Mirai Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Junior More ❯

JOB ROLE: Junior Data Scientist LOCATION: Manchester Office - Hybrid working model, with at least 2 in-office days per week. REPORTING TO: VP of Data Please note CMSPI does not hold a U.K. Sponsor Licence and is therefore unable to More ❯