Junior Data Scientist at S&P Global supporting predictive model development and workflow automation. Collaborating with the Research and Modelling team to enhance data science solutions.
About the role
- Third-party Reporting & Analytics Lead at Morgan Stanley Montreal leveraging GSS data for reporting solutions. Responsible for delivering insights into third-party relationships and optimizing expenses in a fast paced environment.
Responsibilities
- Turn business requirements into solutions that drive meaningful reporting and analysis for stakeholders across Sourcing and the Firm.
- Oversee/work with global and outsourced teams to drive operational excellence and consistency.
- Write complex queries for large volumes of data (joins, functions, subqueries, etc.).
- Work independently with stakeholders for any ad hoc data requests or modifications to existing reporting solutions and dashboards.
- Monitor a healthy pipeline of deliverables to ensure they are correctly prioritized and completed on time.
Requirements
- At least 6 years of experience in a professional setting with a strong focus on reporting and data analytics.
- Bachelor's degree in business, Computer Science, Information Systems, or related field.
- Experience of collecting, analyzing and synthesizing large and complex datasets.
- Experienced use of BI tools such as SQL, Snowflake, Dataiku, Tableau, PowerBI or similar, and Microsoft Office Suite.
- Understanding/interest in how AI solutions can enhance/optimize data practices.
- Industry experience with sourcing (Ariba on demand), procurement, accounts payable, third-party data and expense management (preferred).
- Knowledge of French and English is required.
Benefits
- We offer a hybrid work environment, combining remote work and attendance in the office.
- Professional development opportunities.
- Comprehensive employee benefits and perks.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Junior Data Scientist supporting vehicle and powertrain forecasting models at S&P Global. Collaborating with senior analysts while developing Python solutions for data automation and forecasting.
Data Scientist leveraging advanced analytics and machine learning for Gartner’s Client Experience Digital Platform. Leading AI - powered chatbot systems development and collaborative data science projects.
Data Scientist leveraging advanced analytics and machine learning for Gartner's Client Experience Digital Platform. Collaborating with cross - functional teams on data science projects while developing AI - powered tools.
Data Scientist specializing in Credit Risk modeling for a leading instant credit provider in Europe. Involved in developing and maintaining credit risk models for loan origination and portfolio management.
Data Scientist at Prima shaping the future of motor insurance through advanced analytics and machine learning. Collaborating with cross - functional teams to turn insights into action.
Senior Scientist, Omics at Johnson & Johnson focusing on Neurodegeneration and Neuropsychiatry. Implementing data science projects to deliver treatments and optimize patient stratification.
Principal Scientist leading data - driven neuroscience strategies at Johnson & Johnson. Focusing on Neurodegeneration and Neuropsychiatry through multi - disciplinary collaboration and innovative research.
Principal Scientist focused on neurodegeneration and neuropsychiatry for Innovative Medicine at Johnson & Johnson. Leading data - driven projects integrating multi - omics and clinical data to enhance therapy development.
Fraud Data Scientist generating insights using statistical analysis and machine learning for UMB's fraud initiatives. Involves collaboration across teams to enhance fraud detection models.