Data Scientist x2

Job Description

Data Scientist x2:
On behalf of our Banking client, Procom is searching for a Data Scientist for a 6-month role. This position is a hybrid position with 2 days onsite at our client’s Markham office.

Data Scientist x2 - Job Description:
The project involves building a transaction monitoring system in Oracle to support new project initiatives. The role includes both development and support aspects, focusing on enhancing data management solutions.

Data Scientist x2 - Responsibilities:
• Conduct all analytical activities related to AML transaction monitoring systems
• Work independently on analysis, design, and support of data management solutions
• Conduct data quality checks on Oracle and Azure platforms
• Engage in customer segmentation, scenario threshold setting, and model performance monitoring
• Maintain documentation for scenario review programs to meet audit and compliance requirements
• Execute quality control procedures and identify gaps in interim monitoring solutions
• Collaborate with business teams to provide insights and support business strategies

Data Scientist x2 - Mandatory Skills:
• Expert-level proficiency in Python and SQL
• Advanced knowledge of query optimization, debugging, and automation
• Strong data exploration and analysis skills with large-scale datasets
• Ability to apply statistical techniques and data mining tools to solve business problems
• Strong knowledge of data-driven or data-centric projects
• Strong collaboration and communication skills
• Proven ability to work within large, collaborative teams

Data Scientist x2 – Nice-to-Have Skills:
• Experience with SAS, Informatica, Tableau, and other data analytics tools
• AML knowledge

Data Scientist x2 – Assignment Length:
This is a 6-month contract position with the possibility of extension or conversion to a permanent role.

Data Scientist x2 - Start Date:
ASAP

Data Scientist x2 - Assignment Location:
Markham, Ontario, Canada - Hybrid with 3 days in office.

This employer uses both human and technology-assisted tools to support candidate screening and assessment. Final hiring decisions are made by people.