Data Science Analyst - Audit AI & Analytics, Winter 2027 (Co-op/Internship) - 4 Months

BMO•Toronto, ON

22d•CA$54,600 - CA$101,400•Onsite

About The Position

This role focuses on applying automation and AI technologies to improve results, delivering end-to-end solutions. The analyst will use advanced analytical algorithms and technologies (e.g., machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. They will design and construct new processes for modeling data, develop predictive models, and leverage big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaboration with other data and analytics professionals and teams is key to optimize, refine, and scale analysis into mature analytics solutions. The role also involves playing an active role in the futuristic display of data and advancement of innovative data strategies to understand consumer trends and address business problems. This includes using data mining to assess the feasibility of AI/ML solutions, conducting large-scale analysis to discover patterns and trends, and providing recommendations to business leaders. The analyst will develop prediction systems and machine learning algorithms, investigate additional technologies for innovative data solutions, and collaborate with product teams and partners for data-driven decision making and future roadmapping. The focus may be on a specific business or group. The role requires creative thinking, proposing new solutions, exercising judgment to solve problems within given rules, and working mostly independently, with broader accountabilities assigned as needed. A key aspect is taking measured risks while protecting the bank by applying the Risk Management Framework, making sound and risk-informed decisions aligned with business strategy, protecting assets, and adhering to applicable policy documents, laws, and regulations.

Requirements

General knowledge of programming languages in SQL/Python
Power BI experience
Data analytics, machine learning and AI, Large Language Models
Knowledge of products such as Copilot, Gemini, ChatGPT
Prompt experience to create solutions and automations
Passionate about applying automation and AI technologies to improve results
Proud of delivering end to end solutions
Can work independently, curious and results oriented
Strong project and time managment skills
Intermediate level of proficiency: Commercial astuteness.
Intermediate level of proficiency: Technology Transformation.
Intermediate level of proficiency: Learning Agility.
Intermediate level of proficiency: Emotional Agility.
Intermediate level of proficiency: Change Management.
Intermediate level of proficiency: Systems thinking.
Intermediate level of proficiency: Design leadership and executive alignment.
Intermediate level of proficiency: Stakeholder management.
Intermediate level of proficiency: Value Realization (Architecting & Tracking).
Intermediate level of proficiency: Driving outcomes.
Advanced level of proficiency: Continuous process improvement.
Advanced level of proficiency: Building and managing relationships.
Advanced level of proficiency: Agile Frameworks and Practices.
Advanced level of proficiency: Purpose and strategy alignment.
Advanced level of proficiency: Coaching and Mentoring.
Advanced level of proficiency: Facilitation Skills.
Advanced level of proficiency: Verbal & written communication skills.
Advanced level of proficiency: Analytical and problem solving skills.
Advanced level of proficiency: Influence skills.
Advanced level of proficiency: Collaboration & team skills.
Advanced level of proficiency: Data driven decision making.
Typically between 1-2 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
Deep knowledge and technical proficiency gained through extensive education and business experience.

Nice To Haves

Education background in the areas of Computer Science, Mathematics, Commerce, or any other related majors.

Responsibilities

Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights.
Designs and constructs new processes for modeling data.
Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity.
Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.
Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
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.
Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
Develops prediction systems and machine learning algorithms.
Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
Thinks creatively and proposes new solutions.
Exercises judgment to identify, diagnose, and solve problems within given rules.
Works mostly independently.
Broader work or accountabilities may be assigned as needed.
Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.