8 of 8 Pandas Jobs in the North West

Processing team. Join a small, 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 in the UK with the More ❯

fresh ideas to the team. Skills and Experience: Degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proficiency in Python and key libraries such as NumPy, Pandas, scikit-learn, TensorFlow or PyTorch. Basic understanding of machine learning algorithms and model evaluation techniques. Strong analytical and communication skills. Comfortable working in a collaborative environment and taking feedback. Desirable More ❯

Graduate/postgraduate degree in engineering, mathematics, physics, or statistics. Experience in financial services, insurance, or e-commerce. Familiarity with cloud-based deployment, neural networks, TensorFlow, CatBoost, XGBoost, SKlearn, Pandas, SQL, API development, or CI/CD pipelines. Background in software engineering or DevOps/MLOps. RSG Plc is acting as an Employment Business in relation to this vacancy. More ❯

language consistently in data-centric projects. Experience in developing and maintaining pipelines and infrastructure for products or applications, at scale. Strong knowledge of the Python Data Science stack (e.g., pandas/polars, scikit-learn). Ability to independently develop and maintain robust Python-based ETL/ELT data pipelines. Ability to independently develop LLM-based tools/products (e.g., RAG More ❯

driven problems with real-world impact – this is for you. What You'll Do Conduct deep research into pricing optimisation strategies for hotel revenue Develop models in Python using Pandas, statistical tooling, and custom algorithms Translate real-world pricing problems into mathematical and statistical frameworks Work independently and contribute to a culture of intellectual rigor and curiosity Ideal Profile PhD … related quantitative field (Master’s with significant pricing optimisation experience considered) Strong foundation in statistical modelling, optimisation, and machine learning fundamentals Fluent in Python and data science tools (e.g., Pandas, NumPy) Prior experience in revenue management or pricing is a plus, but not required Interview Process Intro chat Take-home exercise and presentation Sign off chat More ❯

where you'll build and deploy models end-to-end, owning projects from experimentation to production. A Data Scientist (forecasting) will need to: Building and deploying ML models (Python, Pandas, GCP) Forecasting revenue Exploring clustering techniques Applying NLP to classify ancillary bookings Collaborating with a small, high-calibre team of PhD-level Data Scientists, Engineers, and wider product team YOUR … SKILLS AND EXPERIENCE: A successful Data Scientist will have the following skills and experience: MSc or PhD level of education Strong Python skills and experience with Pandas Cloud experience e.g. GCP A solid foundation in Statistics and ML. Experience with forecasting THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of More ❯

where you'll build and deploy models end-to-end, owning projects from experimentation to production. A Data Scientist (forecasting) will need to: Building and deploying ML models (Python, Pandas, GCP) Forecasting revenue Exploring clustering techniques Applying NLP to classify ancillary bookings Collaborating with a small, high-calibre team of PhD-level Data Scientists, Engineers, and wider product team YOUR … SKILLS AND EXPERIENCE: A successful Data Scientist will have the following skills and experience: MSc or PhD level of education Strong Python skills and experience with Pandas Cloud experience e.g. GCP A solid foundation in Statistics and ML. Experience with forecasting THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of More ❯

Query, XLOOKUP, macros) Experience with Power BI/Fabric Strong problem-solving and critical thinking abilities Excellent communication skills and stakeholder engagement experience Familiarity with Python for data analysis (pandas, NumPy, etc.) - desirable Understanding of data warehousing, ETL, and data governance - desirable Degree in a STEM subject - nice to have Knowledge of the energy/utilities sector - a bonus Benefits More ❯