Data Scientist

Our client is a top financial institution with significant North American holdings. They have operations across most major verticals, including institutional \& corporate, wealth management, private clients, commercial banking, treasury, and retail banking.   **Introduction** : Robertson is seeking a skilled Data Scientist to join our client in support of an existing vacancy. **Contract Period:** 6 months       **Pay Rate:** Starting from $64 per hour **Location** : Toronto, ON **Location Type:** Hybrid **Business Hours:**  Monday\-Friday, Core business hours   **Job Responsibilities:** * Prepare, clean, and analyze datasets for ML/AI features from complex and fragmented internal data sources * Leverage LLMs to create features from unstructured data * Design and build segmentation and predictive models for customer and advisor analytics * Own feature engineering pipeline for ML/AI models * Collaborate with business stakeholders to understand workflows, data requirements, and key performance metrics * Build dashboards and reporting assets to serve insights to business stakeholders * Contribute to development and evaluation of modular Gen AI features (RAG systems, NL\-to\-SQL, agentic workflows) * Develop and implement analytics enabled solutions that support business goals and process improvement * Deliver complete projects of moderate complexity * Translate analytical findings into business language and recommend solutions to stakeholders and leadership * Document data sources, contribute to structured processes, and support closed loop tracking for continuous improvement **Experience \& Qualification Requirements:** * Bachelor’s degree in Statistics, Math, Computer Science, Engineering required * 3\-5 years of technical experience * Strong Python skills, including experience with data science libraries (e.g., pandas, NumPy, scikit learn, PySpark or similar) * Strong SQL experience and proficiency with data modeling concepts * Proficiency with BI tools such as Power BI, Tableau, or similar platforms * Demonstrated experience engineering complex features from large, messy, and multi source datasets and to assess feature quality * Demonstrated experience in end\-to\-end model development: problem framing, data preparation, feature engineering, model training, validation, and deployment support * Experience with classical statistical methods and ML techniques (e.g., regression, clustering, PCA, decision trees, survival analysis) * Ability to translate ambiguous business questions into structured analytical approaches * Curiosity about GenAI and eagerness to learn LLM related workflows, evaluation techniques, and best practices * Ability to communicate insights clearly to business partners and contribute to solution ideation within broader business strategy **How to Apply:** If you are a motivated professional looking to contribute to a leading team, please submit your resume outlining your qualifications and experience relevant to this role. Robertson \& the clients we represent, value diversity and are committed to creating an inclusive workplace. We invite all qualified individuals to apply. Background screening is required as part of the onboarding process. The type of screening required (criminal, credit, or other verifications) will vary based on the position and client requirements. We use AI technology as part of our application review process to assist with screening and assessment. All applications are also reviewed by our recruitment team.   Robertson \& the clients we represent are equal opportunity employers, committed to diversity and inclusion. Robertson is a certified diverse supplier and actively seeks to foster a representative and inclusive workforce. We welcome applications from all qualified individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, Aboriginal status, or any other legally protected factors. We champion building a diverse and inclusive environment.