Challenge: Our customer wanted to rapidly build its capability for delivering advanced analytics into production by scaling a data science team.
Solution: We designed and implemented a data science strategy, delivery framework and best practises, and delivered a capability development programme to upskill staff with knowledge of advanced modelling techniques.
Technologies: Python, R, Spark, natural language processing, h2o.ai, supervised and unsupervised machine learning.
Results: We rapidly scaled the team to over 30 people across three hub locations. Within 12 months, the team was able to deploy models and dashboards into production, deliver critical analytics to senior management and develop ground-breaking analytical models.