Data Scientist Intern Risk Hub

Key Skills

Aartificial intelligence, Algorithms, Data science techniques, Kibana, Machine learning techniques, Natural Language Processing (NLP), Python Programming, Statistics, TensorFlow

Job Description

Within the RISK function, RISK Artificial Intelligence Research is an AI expert team in charge of developing Artificial Intelligence solutions for RISK Streams and beyond. This involves in particular assisting internal customer with the definition of their project, understanding what data is available and what is the pain point to be addressed. Then the team proceeds to develop algorithms to address the identified pain point based on the data provided. Finally, we develop systems /applications (interface + back end) to give access to the solution built to designated internal users. In addition to the development of use cases, they also provide technical expertise on artificial intelligence topic (for instance review of internal or external solutions) and seek to develop some API based on common data processing needs.

As a data scientist intern within RISK AIR, you will work on a variety of AI and data science topics applied to real data (financial and much more). Because the RISK function is transverse within the bank, we face a variety of data (structured and unstructured) and tasks (prediction, classification, recommendation, text classification, sentiment analysis, inference, clustering, anomaly detection and knowledge graphs). Your role is to leverage the data or knowledge and develop algorithms to address the customer pain point. You will work together with one or two other data scientists on each project and also with our data analytics engineers. Beyond projects, you will be expected to share your expertise at multiple levels: within the team though technical sharing sessions and beyond as well during our regular open discussion sessions on AI. Finally, as we publish some of our work within academic journals and conferences, you will participate to the associated research and writing effort.

AI/ML Expertise:

Machine learning algorithms (supervised, unsupervised), NLP (information extraction, sentiment analysis), Information retrieval, NLG, Bayesian networks, Time series, Graphs.

Development expertise:

Python, R , Git.

EDUCATION:

• Master Degree in AI, Statistics, Computer Science or related field.
• Fluent in English, French a plus.

Personal profile

• Strong analytical / problem solving skills.
• Capacity to work in project mode.
• Rigorous and curious.
• Resourceful.
• Client-oriented.