Visit www.acad.jobs with all Jobs for Academics!
                
Position: Data Scientist
Institution: Placement through Fenchurch Associates
Location: Switzerland
Duties: Perform exploratory analysis and preparing large amounts of data, sourced from diverse systems; Designing and applying machine learning, deep learning, and other artificial intelligence models into IA’s procedures, and other global initiatives such as Benchmarking, Continuous Auditing and Fraud Analytics; Effectively presenting results via impactful methods and data visualisation techniques; Contributing in the design and managing of big data models
Requirements: University degree in quantitative disciplines (e.g. Computer Science, Economics, etc.); Three (3) or more years of relevant work experience in data analysis related field; Experience applying data mining (e.g. CRISP-DM) agile (e.g. SCRUM) methodologies; Experience in performing ETL activities and managing data warehouses; Experience with Business Intelligence and Visualization tools (e.g. Tableau or PowerBI); Experience applying top analytical techniques, such as Machine Learning, Pattern recognition, and Text analytics, amongst others, into practical and real world problems; Experience in the use of languages, libraries and frameworks (e.g. SQL, Python, R, Spark, TensorFlow, Keras, Pig, Hive); Excellent communication skills (English proficiency), as you will be required to present and explain complex models to peers, supervisors and internal business clients
   
Text: Data Scientist Full time | Fen Associates | Switzerland Posted On 13/07/2020 Job Description Perform exploratory analysis and preparing large amounts of data, sourced from diverse systems Designing and applying machine learning, deep learning, and other artificial intelligence models into IA’s procedures, and other global initiatives such as Benchmarking, Continuous Auditing and Fraud Analytics Effectively presenting results via impactful methods and data visualisation techniques Contributing in the design and managing of big data models Requirements University degree in quantitative disciplines (e.g. Computer Science, Economics, etc.) Three (3) or more years of relevant work experience in data analysis related field Experience applying data mining (e.g. CRISP-DM) agile (e.g. SCRUM) methodologies Experience in performing ETL activities and managing data warehouses Experience with Business Intelligence and Visualization tools (e.g. Tableau or PowerBI) Experience applying top analytical techniques, such as Machine Learning, Pattern recognition, and Text analytics, amongst others, into practical and real world problems Experience in the use of languages, libraries and frameworks (e.g. SQL, Python, R, Spark, TensorFlow, Keras, Pig, Hive) Excellent communication skills (English proficiency), as you will be required to present and explain complex models to peers, supervisors and internal business clients
Please click here, if the Job didn't load correctly.







Please wait. You are being redirected to the Job in 3 seconds.