Sr Data Scientist working with Python and SAS to mine and analyze large data sets and financial models utilizing machine learning for a banking client
S.i. Systems
- Toronto, ON
- Contract
- Full-time
- 5 - 7 years of relevant experience as Data Scientist performing data analysis, data visualization, data wrangling and data preprocessing
- Machine learning/ML and Big Data experience
- Expert knowledge of Python and/or SAS
- Experience performing financial modelling
- Banking experience
- Financial data modelling vs FI product data modelling is preferred
- Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
- Designs and implement advanced projection models focused on ultimate redemption rate estimates and overall liability estimates.
- Develops rewards program liability estimation models, including sensitivity impact models and measuring the impact of program changes or redesign.
- Develops customer behavior analyses that allow a program to target more profitable members and increase overall program effectiveness, using advanced predictive models.
- Works independently on end-to-end development of Machine Learning and time series forecasting models to derive insights
- Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
- Collaborate together with the product team and partners to understand and provide data-driven decision making
- Focus is primarily on business/group within the bank; may have broader, enterprise-wide focus.
- Provides specialized consulting, analytical and technical support.
- Exercises judgment to identify, diagnose, and solve problems within given rules.
- Works independently and regularly handles non-routine situations.
- Broader work or accountabilities may be assigned as needed.