8 of 8 Pandas Jobs in Manchester

. Hands-on experience building or significantly overhauling a data system or centralised reporting platform. Proficiency in Python for data automation and transformation (e.g. pandas, NumPy). Strong working knowledge of SQL and relational databases (e.g. MySQL, PostgreSQL). Comfortable working with large datasets (CSV/Excel/API-based More ❯

ambitious team working closely with Java and Data Science teams to build and support infrastructure for Credit Risk Management, using technologies like FastAPI, Pandera, Pandas, and Pydantic. The role involves collaboration, architecture development, code review, and supporting data science infrastructure. Remote work is possible with occasional office visits; based anywhere More ❯

or related field. Highly proficient and experienced working with telemetry systems, preferably MoTeC or similar. Strong proficiency in Python, SQL, and data analysis libraries (Pandas, NumPy, etc.). Familiarity with data visualisation tools (e.g. Plotly, Power BI, MATLAB, or custom dashboards). Understanding of motorsport operations and vehicle dynamics is More ❯

or related field. Highly proficient and experienced working with telemetry systems, preferably MoTeC or similar. Strong proficiency in Python, SQL, and data analysis libraries (Pandas, NumPy, etc.). Familiarity with data visualisation tools (e.g. Plotly, Power BI, MATLAB, or custom dashboards). Understanding of motorsport operations and vehicle dynamics is More ❯

or related field. Highly proficient and experienced working with telemetry systems, preferably MoTeC or similar. Strong proficiency in Python, SQL, and data analysis libraries (Pandas, NumPy, etc.). Familiarity with data visualisation tools (e.g. Plotly, Power BI, MATLAB, or custom dashboards). Understanding of motorsport operations and vehicle dynamics is More ❯

mentorship. 🧠 Must-Have Skills: • Basic knowledge of Python and/or SQL • Curiosity and willingness to work with data • Familiarity with any one: Excel, Pandas, Numpy, or visualization tools • Good communication and time management skills 🌟 Nice-to-Have (But Not Required): • Experience with data cleaning, modeling, or dashboards • Understanding of More ❯

cloud-based tools like AWS SageMaker and Lambda, and you'll know your way around Git, SQL, and common Python data science libraries (like pandas/polars, scikit-learn, xgboost/lightGBM, and TensorFlow/PyTorch). Bonus points if you've worked with linear programming, or have experience in More ❯

Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and SQL. As a Data Scientist at PwC, you will work on cutting-edge projects, using data to drive strategic insights and business decisions. … tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we'd also like to hear about More ❯