Newcastle Upon Tyne, Tyne And Wear, United Kingdom
Newcastle University
experience of solving and delivering data science and/or AI solutions for stakeholders You should have relevant knowledge and experience in one or more of the following areas: StatisticalModelling, Artificial Intelligence, Machine Learning, Machine Vision, MLOps/LLMOps, Data Analytics, Data Engineering, Data Warehousing, Data Visualisation. Ability to communicate and teach complex technical concepts You will More ❯
Sunderland, Tyne and Wear, England, United Kingdom
ITOL Recruit
career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statisticalmodelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods More ❯
Newcastle Upon Tyne, Tyne and Wear, England, United Kingdom
ITOL Recruit
career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statisticalmodelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods More ❯
Newcastle-under-Lyme, Newcastle, Staffordshire, England, United Kingdom
Kingsgate Recruitment Ltd
work on: Data Exploration & Analysis : Use Python, R, or SQL to clean, explore, and visualise data to uncover patterns and trends. Model Building : Assist in developing machine learning and statistical models to solve business problems (e.g., forecasting, segmentation, recommendation). Business Insight Generation : Translate data findings into actionable insights that drive decision-making. Data Storytelling : Present results through visualisations … a similar field Strong analytical and problem-solving skills Proficiency in Python or R, and familiarity with data libraries (e.g., Pandas, NumPy, Scikit-learn) Basic understanding of statistics, data modelling, and machine learning techniques Experience working with data (e.g., through coursework, projects, or internships) Good communication skills and ability to explain complex concepts clearly Nice to Have (But Not More ❯