Junior Data Scientist
CGI is a leading IT and business consulting services firm, and they are seeking a Junior Data Scientist to join their team. This role involves working in a fast-paced environment to support clients in the banking sector by gathering and analyzing user requirements, developing quantitative models, and collaborating with technical and business teams.
Responsibilities
- Assist in gathering and analyzing user requirements and translating them into technical tasks
- Support the development and maintenance of quantitative models for mortgage and loan risk
- Prepare and transform data for analysis, ensuring accuracy and consistency
- Work with large datasets in cloud environments under guidance from senior team members
- Participate in testing activities and troubleshoot basic data-related issues
- Collaborate with technical and business teams to communicate findings clearly
- Extract, clean, transform, and analyze large datasets using Python and SQL
- Build and experiment with ML models (e.g., decision trees, classification, predictive analytics)
- Conduct data profiling and gather business requirements from internal stakeholders
- Assist in developing analytical insights to support business units (Underwriting, Closing, Delivery, etc.)
- Collaborate with engineering teams to operate models and tools
- Work with AWS cloud environment, including S3, Redshift, RDS, and explore AWS Bedrock for LLM/AI use cases
Skills
- 1–3 years of Data Science experience or strong academic/project background
- Proficiency in Python (experience with Pandas, NumPy; Scikit-learn is a plus)
- Strong SQL skills and understanding of relational databases
- Familiarity with AWS services (S3, Lambda, Glue) or willingness to learn
- Understanding of fundamental statistical concepts and data modeling techniques
- Exposure to software engineering practices (Git, unit testing) is desirable
- Ability to learn quickly and adapt to new tools and technologies
- Good communication skills for working with technical and non-technical stakeholders
- Ability to manage tasks with guidance and prioritize effectively
- Exposure to risk modeling concepts (Monte Carlo simulations, time-series analysis) is a plus
- Familiarity with data visualization tools or frameworks
- Relevant coursework or certifications in data analytics, cloud technologies, or quantitative methods
- Internship or academic project experience in Python, SQL, or cloud technologies is highly valued
- Bachelor's degree in Computer Science, Information Systems, or a related field
- Experience with R programming
- Exposure to JSON and XML datasets
- Understanding of the mortgage/financial industry
- Experience with model deployment or MLOps concepts
Benefits
- Competitive compensation
- Comprehensive insurance options
- Matching contributions through the 401(k) plan and the share purchase plan
- Paid time off for vacation, holidays, and sick time
- Paid parental leave
- Learning opportunities and tuition assistance
- Wellness and Well-being programs
Company Overview
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