Senior Data Scientist

4 days ago


Toronto, Ontario, Canada Informa Group Plc. Full time
About the Role

We are seeking an experienced Senior Data Scientist to join our Data Science & Machine Learning Team at Informa Group Plc. As a key member of our team, you will be responsible for driving the application of data science, machine learning, and AI approaches to understanding banking customer behavior and optimizing engagement marketing through our FinTech product platforms.

Key Responsibilities
  • Shape experimental design and incorporate advanced experimental analytics techniques to accurately measure the success of our ML-based marketing optimization campaigns.
  • Independently select the appropriate approaches from a broad toolkit of ML algorithms and embody high standards of quality and accountability throughout the ML model development lifecycle, with an eye to enabling successful, repeatable, scalable production-level deployment.
  • Partner with our machine learning engineers to refine and extend our Reinforcement Learning-based marketing optimization capabilities.
  • Proactively explore available data and opportunities to leverage the latest developments in AI to innovate our suite of FinTech products.
  • Apply advanced data management techniques and tools to bring datasets into data science workflows and systems, enabling our products.
Requirements
  • 5+ years' experience and a demonstrable track record of delivering applied machine learning or data science capabilities in consumer-facing and/or enterprise applications.
  • Experience in scientific marketing contexts is a plus.
  • Strong working knowledge of Python-based machine learning frameworks and the data and computation management mechanisms that surround them in a cloud setting.
  • Exceptional communication skills that can be delivered in the context of your audience from deep science to business decision-makers.
  • Strong interpersonal skills and an ability to influence others around you towards data-driven business goals.
  • Advanced degree (PhD preferred) or equivalent career experience in Computer Science, Applied Mathematics, Statistics or a related technical discipline.
What We Offer
  • Flexible working options, including home working, flexible hours and part-time options, depending on the role requirements.
  • Competitive annual leave, floating holidays, volunteering days and a day off for your birthday.
  • Regular social events and networking opportunities.
  • Employee Assistance Program which provides expert third-party advice on wellbeing, relationships, legal and financial matters, as well as access to counselling services.


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