YOUR FUNCTION

You will use your in-depth knowledge of statistics, algorithms, data mining and visualization techniques to generate new strategic insights for business needs. You can move quickly to validate new ideas and analyses via techniques such as rapid prototyping and minimum viable products. This will often require you to take a leading role in exploring the possibilities of AI, data and analytics and to bring together experts from different teams and disciplines from across the university. Where needed, you will research and implement advanced techniques and tools to increase efficiency and effectiveness of our data-analyses.
You will join a new data, AI and innovation team and will collaborate with machine learning engineers, data engineers and software engineers as well as experts from education and research domains. With you joining the team, we can have a real impat on education and research!

SOFT SKILLS

• You are able to analyse and interpret complex datasets
• You have an innovative mindset and are able to define, run and analyse experiments and simulations
• You are able to communicate complex projects, models and results to a diverse public of experts and novices
• You can participate in diverse, cross-functional teams in a dynamic business environment
• You are inquisitive and eager to learn, have a desire to trial and implement new technologies, and can find new and creative solutions

TECHNICAL SKILLS

• You have knowledge of AI-related libraries such as TensorFlow, PyTorch and scikit-learn and are able to work with large datasets and related technologies such as Hadoop & Spark
• You can demonstrate experience with various statistical and data mining techniques, such as GLM/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, CNNs and RNNs
• You can efficiently and effectively apply AI techniques such as machine learning, deep learning and neural networks in the development, training, evaluation and tuning of models
• You are familiar with the ethics and societal impact of AI, including detection of bias
• You are able to use cloud platforms such as AWS, Azure and Google Cloud and their AI services
  As a university, we strive for equal opportunities for all, recognising that diversity takes many forms. We believe that diversity in all its complexity is invaluable for the quality of our teaching, research and service. We are always looking for talent with diverse backgrounds and experiences. This also means that we are committed to creating an inclusive community so that we can use diversity as an asset.
  We realise that each individual brings a unique set of skills, expertise and mindset. Therefore we are happy to invite anyone who recognises themselves in the profile to apply, even if you do not meet all the requirements.

• You build data-driven models to answer business questions in smaller and larger experiments
• You identify valuable internal and external data sources and work to make them usable
• You proactively look for relevant patterns in existing datawarehouses and largedatasets to generate valuable insights for decision makers
• You keep up with new technologies and methods and know how to apply and share these
• You collaborate with technical and domain experts from across the university to develop, implement and refine your analyses