As previously mentioned, Paylead’s core business is valuing bank transaction data for our users, banks or re/etailers. Volume and sparsity of this data obviously require to use advanced data collection, data engineering and data science techniques. In this context our data team is expanding and we are now looking for a DATA SCIENCE INTERN.

Her/His main responsibilities will be to design and build a new Machine Learning capability for Paylead (the precise business use case is already defined but will only be disclosed during interviews)

HARD SKILLS

• Excellent academic background (you study in one of the best schools / universities)
• Strong Modelling capabilities
• Know the maths behind standard machine learning models (algorithms, performance metrics, limitations). In particular have a good knowledge on few NLP models.
• Good skills in Python and especially in its data science libraries
• Know some common machine learning use cases (prediction, recommendation, etc.)

SOFT SKILLS

• Curious
• Rigorous
• Autonomous

As Paylead Data team is growing quickly, end of study interships will be preferred

Interviews with Paylead Data team members