1 to 5 of 5 R Jobs in Tyne and Wear with Remote Work Options

degrees ; Strong knowledge of Microsoft Office package (Excel, Word and Power Point) and analysis and visualization tools (PowerBI); Knowledge of programming languages (e.g.: Python, R, etc.) oriented to statistical data analysis and visualization; Previous experience in Business Intelligence Environment; Experience working with relational databases; Fully proficient in English; Experience in more »

and service delivery within a public service environment. Working knowledge of statistical software packages (e.g. Alteryx, PowerBI) and underlying program language tools such as R, Python and SQL. Expertise concerning the underlying principles and techniques of data analytics within the context of counter fraud, for example rule-based analytics, machine more »

ML models And outside of the day-to-day projects: Staying on top of industry developments within the business and the Data Science community R&D/Product Development - developing new data science offerings and use cases Establishing and implementing best practice Mentoring and coaching other team members What you … need 😎 Commercial experience applying ML models Python, SQL or R Any cloud data platforms would be great - AWS, Azure or GCP Any big data technologies like Hadoop would be great Strong communication and stakeholder engagement What’s on offer to you? 💰 £85-95k Bonus of up to 10% Flexible more »

statistical and predictive modelling and emerging techniques such as generative AI.o Ability to lead the delivery of complex, high value projects.o Expertise in using R and Python with an ability to write high quality, maintainable and portable code and test code to ensure its quality.o A strong intellectual curiosity and … to critically appraise and interpret highly complex data and advise on actions based on the comparison of a range of options. Expert in using R and Python with an ability to write high quality, maintainable and portable code and test code to ensure its quality. Desirable Excellent knowledge of the more »

science including the implementation of statistical modelling in a real-world environment oExperience and strong proficiency in programming languages for data science, e.g., SQL, R and Python alongside the ability to use tools and packages such as Alteryx, Jupyter notebook, R Markdown, TensorFlow, Keras, Pytorch, Apache Spark etc. oPractical proficiency more »