for prompt engineering or agents is preferred Cloud Expertise: Building, deploying and monitoring models on cloud like Azure, AWS or GCP is preferred. Foundational Knowledge: A strong foundation in statistics, mathematics, AI principles and programming is essential for success in this role. Ideally, you will also have Problem-Solving: Ability to translate business assumptions and rules into feature engineering and More ❯
leading high-performing teams. Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. Experience with R is a nice-to-have. A strong foundation in statistics, mathematics, and programming is essential for success in this role. The following will be an advantage; Problem-Solving: Ability to translate business assumptions and rules into feature engineering and model More ❯
At least 4 years of experience in the Data Analytics space (preferably in a consulting context) University degree 2.1 or higher (or equivalent) in Computer Science/Mathematics/Statistics or equivalent End to end knowledge of data warehouse and reporting processes Ability to identify and implement process improvements in a controlled manner Have strong consulting skills, having applied business More ❯
least 4 years of experience in the Data Analytics space (preferably in a consulting context). University degree 2.1 or higher (or equivalent) in Computer Science/Mathematics/Statistics or equivalent. End to end knowledge of data warehouse and reporting processes. Ability to identify and implement process improvements in a controlled manner. Have strong consulting skills, having applied business More ❯
Technical Expertise: Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. Experience with R is a nice-to-have. Foundational Knowledge: A strong foundation in statistics, mathematics, and programming is essential for success in this role. The following will be an advantage; Problem-Solving: Ability to translate business assumptions and rules into feature engineering and model More ❯
an electronic communications network. Preferences Preferences The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user. StatisticsStatistics The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary More ❯
styles that work for developers - chat, mail, calls. We will enable developers to raise issues with minimum effort to track progress, our own productivity - and we will use the statistics that we generate, to drive automation of the key developer pain points. Qualifications: • Previous experience in an Development or DevOps role • Experience installing, configuring or supporting business applications. • Experience with More ❯
