Data Scientist
We are looking for a Data Scientist for our client based in Baar.
Job content
Corporate Internal Audit
For motivated candidates, we offer the chance to belong to one of the world’s largest producers and marketers of commodities and to be part of a multicultural global team, which has a direct contribution to protecting and enhancing its organisational values
Role Objective
• Actively contribute to establishing the latest cognitive data analytics capabilities in Internal Audit (IA)
• Contribute to driving IA function’s strategic objective of becoming ‘Insight Generators’
• Role is not geographically dependent with flexible remote working options available. Support can be provided for relocation if needed
What we offer
• Key role in our journey to digitalise the IA function, employing leading data engineering and analytical tools to unlock the value of data to its stakeholders
• Leverage agile principles and digital collaboration tools that enable an flexible and supportive team experience, essential in this fast changing world (VUCA)
• Encouragement to innovate, experiment and create leading-edge technologies to advance our IA function into one of the best in its field
• Immersion and learning of our diverse company and contribute to lead business groups for key risk areas
• Exposure to company management and leadership, and empowerment to become an leader in your area of expertise
• Possibility to work in a flexible project organisational structure on international assignments and in different regions
Role 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