29 Search Technologies jobs in Canada

Data Science Student
**The future you want is within reach.**
At PCL, we build the places where life happens and find camaraderie in the process. We're a community of builders committed to building better communities. That's why we're always looking ahead, and not just to the next project or what's next in our industry.
We're also looking at what's next for you and how we can help you build a career you're proud of. As a student at PCL, you will get the opportunity for challenging work assignments in a supportive work environment which promotes personal and professional growth.
We are seeking a **Data Science Student** for our **Canadian Industrial Division** district office **in Edmonton, AB,** that is available for **4 or 8 months** starting in **January 2026** . This position will be under the direct supervision of the **Manager, Data Science** .
**Please note remote work is not available for this position.**
As a **Data Science Student** , you will contribute to our team by:
**Responsibilities**
- Gain proficiency in exploratory data analysis, perform it, and present insights.
- Prepare data sets for visualization and machine learning modeling.
- Train machine learning systems using data annotation and benchmarking techniques.
- Help your colleagues assess AI/ML model performance and propose paths for potential improvement.
- Prepare data visualizations using industry-leading tools to summarize results for stakeholders.
- Document your results - tell the story of the work, the successes, and the lessons-learned for posterity.
- Keep an open mind, in order to utilize your unique skills and your determination when other opportunities arise.
**This position has a twist.** Contingent on successful early work, the team member will have a chance to build their portfolio through a capstone project. For the final two months, a portion of their time will be focused on a design-focused initiative, of value to PCL, of their choosing. You'll be supported while you:
- Develop a proposal
- Engage with the right people to inform your work
- Build your prototype or visualization
- Assess and present the results
**Qualifications**
What you will bring to the role:
- Currently enrolled in a postsecondary program
- You should be an outstanding bachelor's or mathematics student in engineering, computing, or mathematical sciences. Alternatively, you could be pursuing an MSc in a quantitative field. If your field of study differs, apply: we'd like to hear why you'll be a good fit regardless.
- Analytical skills - ability to quickly analyze data to identify and visualize key insights - as evidenced by coursework, projects, or research requiring the analysis of large datasets.
- Coursework in statistics. Applied statistics and probability are the focus of the position: if you can converse about regression models, and clustering approaches, you'll be fine.
- Prior exposure to a statistical or scientific programming environment is helpful. If you don't have it, you'll become familiar while you're with us. We have a bias for open source tech, and work with the Python scientific stack, R, PowerBI, and various data pipeline tools.
- Excellent oral and written communication skills will help. You'll work with both experts in the field and business staff, so you'll find it important to be able to communicate appropriately with both as needed.
Next Step:
- Please note that candidates who have been selected to move forward to the next stage of the recruitment process will receive an email to complete a short online video interview.
PCL is an innovative, employee-owned company comprised of people who find passion in their profession and take pride in doing great work every day. Our work powers the infrastructure and utilities that are essential to daily life and our projects are the scene of vacations, careers, education and healing. We are consistently ranked among the best companies to work for because we are committed to supporting and developing our teams.
The PCL Companies celebrate diversity and are proud to be an equal opportunity employer. We are committed to creating equitable opportunities and an inclusive environment for all employees and applicants. We make employment-related decisions without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability or veteran status.
PCL combines numerous pay and benefit strategies to provide a comprehensive and competitive total rewards package. Any salary range displayed by a job board is an estimate. Your salary, which considers your unique qualifications and experience, is just one component of the robust total rewards you'll enjoy at PCL. This may include an employee share purchase offering, discretionary annual performance bonus, comprehensive benefits and wellness programs, retirement plan plus matching, and career development programs.
Should you require an accommodation during the application process, please contact us ( ) with the position and location you are interested in.
Together, we can build success and a better future. Let's get started!
**Employee Status:** Internship Full-Time
**Company:** PCL Industrial Management Inc.
**Primary Location:** Edmonton, Alberta (Ind Mgmt)
**Job:** Data Science Student
**Requisition** : 10026

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
The Driver team aims to provide a best in class driving and earnings experience that enables anyone to join the platform and make a living. As a Data Scientist on the Driver Experience & Segments team, you will collaborate with our world class team of engineers, product managers, and designers to design the end-to-end driving experience for hundreds of thousands of drivers who interact deeply with our app every day. You will be a key partner in creating innovative ways to reward and recognize our best drivers, building tools to provide guidance to drivers on how to maximize their earnings, and designing the best UI and personalized XP to match the right rides to the right drivers quickly. This Scientist's role will inform the driver experience for all drivers, in particular our most valuable ones, and help to improve their take home earnings.
Data Science is at the heart of Lyft's products and decision-making. You will leverage data and rigorous, analytical thinking to shape our Driver products and make business decisions that put drivers first. This will involve identifying and scoping opportunities, shaping priorities, recommending technical solutions, designing experiments, and measuring the impact of new features.
**Responsibilities:**
+ Leverage data to provide insights around driver behavior and sentiment and identify improvement opportunities
+ Apply analytics, inference and experimentation techniques to solve business problems
+ Design and analyze experiments; communicate results to technical and non-technical audiences to act on launch decisions
+ Establish metrics that measure the health of our driver products and driver experience
+ Develop analytical frameworks and dashboards to monitor business and product performance
+ Partner with product managers, engineers, and operators to translate analytical insights into decisions and action, and implement products to drive business goals
+ Design and implement data pipelines to support data analysis and product implementation
**Experience:**
+ Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
+ 4+ years experience in a data science role or analytics role
+ Proficiency in SQL - able to write structured and efficient queries on large data sets
+ Experience in programming, especially with data science and visualization libraries in Python or R
+ Experience in online experimentation and statistical analysis, and communicating results and recommendations to senior stakeholders
+ Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners
+ Experience in applying machine learning techniques a plus (e.g. reinforcement learning) to solve customer problems (e.g. personalization, segmentation)
+ Experience working with ETL pipelines a plus
**Benefits:**
+ Extended health and dental coverage options, along with life insurance and disability benefits
+ Mental health benefits
+ Family building benefits
+ Child care and pet benefits
+ Access to a Lyft funded Health Care Savings Account
+ RRSP plan to help save for your future
+ In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
+ Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
+ Subsidized commuter benefits
Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Job Description

Job Description

Company Description

Vention helps some of the most innovative manufacturing companies automate their production floor in just a few days. Vention's manufacturing automation platform (MAP)  enables its clients to design, automate, order, and deploy manufacturing equipment directly from their web browser. Vention is headquartered in Montreal, Canada, with offices in Berlin and Boston, and is used in over 3,000 factories on 5 continents.

As one of Canada’s Most Admired Cultures we are a performance driven culture that cares deeply about our employees well being. We set ambitious goals, rely on data, and thrive on healthy debate. But we also know sustainable performance comes from a caring and uplifting environment. Both sides of our culture fuel each other—and we protect them equally.  Our values & principles include:

• We make our clients successful - we do what’s right for our customers, even when it makes our roles more challenging.
• We execute and deliver - we set ambitious goals for ourselves and are energized about meeting them.
• We debate, then commit - we challenge our own perspectives and ideas in pursuit of the best solutions.
• We innovate to inspire - we value innovation in products, user experiences, and business practices.
• We collaborate to achieve more - we work as one team to achieve more than we would on our own.
• We empower our people to reach their full potential - we hold ourselves to high standards but know when to celebrate progress & achievements

Job Description

As the Manager of Data Science and Analytics, you will lead and build a small but growing team responsible for transforming Vention’s rich data into insights that directly impact strategic decisions across the company. You’ll get your hands dirty applying data science techniques to solve high-impact problems in operations, growth, product, and customer experience - all while helping establish the data vision and infrastructure that scales with our business.

This is a unique opportunity for a strong leader and active contributor who thrives in a high-autonomy, high-impact role and is excited about growing the data function from the ground up. Today, you’ll manage one data analyst and work hands-on with engineering and business teams. Tomorrow, you’ll be scoping and leading an expanded team to meet the growing needs of the business.

This role is mission-critical to how we scale and compete. With access to a gold mine of high-value data, you’ll be instrumental in shaping strategy across the company. If you’re passionate about using data to solve real-world problems at the intersection of AI and advanced manufacturing, this is your opportunity.

What You’ll Do:

Leadership and Stakeholder Collaboration

• Manage, mentor, and grow a high-performing data team, while contributing directly to analytics and data science initiatives. Promote best practices in data management and modeling.
• Partner with business leaders to understand critical data needs, define priorities, and ensure alignment between analytics initiatives and strategic goals.
• Own the analytics roadmap and sprint planning processes. Balance quick wins with long-term capability building in line with evolving business needs.

Analytics & Insight Generation

• Drive complex data modelling and advanced analytics initiatives (including statistical modelling, forecasting, and clustering) to identify trends, optimize performance and drive growth.
• Lead the development of data visualization strategies, dashboards, and KPIs that deliver actionable insights and drive strategic business decisions. 
• Translate complex analytics into actionable recommendations for executive leadership and key stakeholders.

Data Infrastructure & Governance

• Own the development, reliability, and scalability of the company’s data infrastructure, including the data warehouse, ETL/ELT pipelines, and source system integrations.
• Ensure data accuracy and consistency while adhering to compliance and governance standards.
• Maintain documentation for data architecture, processes, and analytics methodologies.

Qualifications

What You Bring to the Table:

• 5–7 years of hands-on experience in data science or analytics, with a proven ability to lead projects, manage teams and influence business decisions.
• Bachelor’s degree in Engineering, Computer Science, Data Science, Business ANalytics  Mathematics, Statistics, or a related field
• Strong technical foundation with proficiency in Python, SQL and BI tools (i.e. Power BI/Looker).
• Proven experience with data warehousing concepts, ETL processes, and data modelling techniques (i.e. Snowflake, Airbyte, AWS)
• Deep knowledge of statistical techniques, regression modeling, and machine learning methods (e.g., clustering, decision trees, neural networks).
• Excellent communication and collaboration skills, with a passion for translating data into actionable insights for non-technical stakeholders. Bilingual (English/French) is a strong asset.
• Curious, entrepreneurial, and hands-on — driven to build data capabilities from the ground up.

Additional Information

How We Take Care of You

• Flexible paid time off. 
• Global comprehensive health plans so you feel your best.
• Complimentary beverages and snacks so that you are fuelled and ready for your day.
• Career growth opportunities. Your future matters.
• Fun-filled social events curated based on diverse interests for our team to celebrate together. From sponsored sports teams to trivia nights.
• Time off to volunteer and give back to your community.

What to Expect in Your Interview

• Initial Call
• Team interview
• Challenge 
• Final Interview
• Decision & Offer

️Commitment to Equal Employment Opportunity

Our culture is built for high achievers who thrive in fast-paced, high-impact environments. At Vention, you'll have the chance to shape products, processes, and strategies that leave a lasting impression.

When you join Vention, you join a team of professionals with a diverse variety of experiences, backgrounds, and perspectives. We’re committed to fostering a supportive, inclusive workplace where collaboration fuels extraordinary outcomes - and where strong, lasting relationships are built through shared drive and passion. We’re passionate about helping you do your best work. Claim your seat and find out what you can do!

If you require any accommodations during the interview process, let us know - we are happy to support you.

Not sure if your experience checks every box? That’s okay - apply anyway. We’d love to get to know you and share more about the role. 

Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you!
Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first).
**Job Summary:**
Vail Resorts is looking to hire an experienced leader for our innovative Data Engineering and Data Science teams. As Senior Director of Data Science and Data Engineering, the role will be leading high-profile data teams that sit at the center of Vail Resorts organizational strategy touching critical areas and lines of business (Epic Pass, Lift Tickets, Ski School, Rentals, etc.) and receiving full executive sponsorship from CEO and the Executive Committee. The Vail Resorts data teams oversee the design and development of data pipelines and develop algorithmic models using our industry leading guest database to drive commercial impact and continue to push the limits of what is possible. In our next phase of organizational growth, the focus will be on scaling our data assets and infrastructure and advancing our data engineering and data science solutions across our core lines of business in service to our company's future long-range goals.
In this role, you will be responsible for leading the development, socialization, and implementation of intelligent data solutions across the enterprise. You will be ensuring strong scalability and performance of our data systems across the enterprise as well as advancing our existing set of algorithmic models. You will be creating new innovative data solutions that directly impact our business. You will develop a clear articulation of vision and roadmap of Data Science and Data Engineering towards long-range growth plans for the organization. You will be interfacing directly with senior stakeholders to align on business priorities and provide expertise in how data solutions can provide differentiated impact.
**Why this role is special:**
+ Vail Resorts is a fast-growing company at the forefront of the Travel and Tourism industry - _redefining the ski industry in the 21st century_
+ Leveraging analytics is a core pillar of Vail Resorts' strategy moving forward - _a critical driver of our success leading to a strong willingness to invest_
+ We are a data-driven business with a proprietary guest database unmatched by any other company in the industry - _a great foundation for building out analytic use cases_
+ There is a significant opportunity to lead our Data capabilities to the next level - _we are leading the adoption of data and cloud technologies to continue to enhance our impact_
+ Direct exposure to senior leaders of the business (CEO, CMO, broader Executive team) - _a unique opportunity to team with our business leadership to reimagine analytics_
**Job Specifications:**
+ Outlet: Corporate
+ Starting Wage: $188,000 - $40,000 + annual bonus + equity
+ Employment Type: Year Round
+ Shift Type: Full Time hours available
+ Minimum Age: At least 18 years of age
+ Housing Availability: No
**Job Responsibilities:**
+ Lead, develop, support and facilitate synergies between high-performing Data Science and Data Engineering teams
+ Develop, align on, and deliver on long-range vision for data teams at Vail Resorts
+ Lead the architecture, development, and management of data-driven solutions across the company
+ Drive the adoption of emerging technologies to enhance data analytics capabilities
+ Represent functional data teams by managing and collaborating across cross-functional technology and data initiatives
+ Present data and technical output that enables stakeholders to make informed and data driven decisions
+ Drive and support a culture of technical progression through both performance and usability of developed solutions
+ Be inquisitive and have an eye for identifying areas where data solutions can deliver efficiency and increased sophistication
+ Implement best practices for data management, governance, and quality assurance
+ Bring ambition, a problem solving attitude, and clear articulation of vision to continue to evolve the technical proficiencies of the team
**Job Requirements:**
+ At least 10+ years of experience
+ Previous experience managing, engaging, and driving a high-performing Data Science and Data Engineering teams
+ Previous experience in commercial settings driving strong financial outcomes with data ) initiatives
+ Advanced degree in a quantitative field (Computer Science, Statistics, Data Engineering or related field)
+ Demonstrated experience leading engineering and development of large scale data systems leveraging cloud infrastructure (AWS, Azure, GCP)
+ Extensive development experience in at least one programming language (Python, Java, etc.); advanced fluency in SQL preferred
+ Project management skills, including the ability to scope, deliver and deploy intelligent data solutions
+ Comfortable working in a dynamic, high performing group with several ongoing concurrent projects
+ Strong verbal and written communication skills as well as excellent presentation skills
+ Strong learning agility. Enjoys and excels in environments with new and increasingly complex strategic business challenges and issues-incorporating the newest ideas, technologies, and approaches to business
+ A bold, ambitious, and passionate leader while also demonstrating a high level of emotional intelligence and self-awareness
The expected Total Compensation for this role is 188,000 - 240,000 + annual bonus + equity. Individual compensation decisions are based on a variety of factors.
**Job Benefits**
+ Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons
+ MORE employee discounts on lodging, food, gear, and mountain shuttles
+ 401(k) Retirement Plan
+ Employee Assistance Program
+ Excellent training and professional development
Full Time roles are eligible for the above, plus:
+ Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours)
+ Free ski passes for dependents
+ Critical Illness and Accident plans
Employees can work remotely from British Columbia, Washington D.C., and the 16 U.S. states* in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming.
Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion.
In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution.
We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers.
Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law.
_Requisition ID _
_Reference Date: 09/22/2025_
_Job Code Function: Data Warehouse/Business Intel_

Application Deadline:

11/09/2025

Address:

33 Dundas Street West

Job Family Group:

Data Analytics & Reporting

This role will require 3-5 days in the Toronto office

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.
• Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
• Provides specialized consulting, analytical and technical support.
• Exercises judgment to identify, diagnose, and solve problems within given rules.
• Works independently and regularly handles non-routine situations.
• Broader work or accountabilities may be assigned as needed.

Qualifications:

Intermediate level of proficiency:

• Mathematics, statistics & operations research.
• Deep learning.
• Machine learning.
• Trust, bias and ethics.
• Creative thinking.
• Critical thinking.

Advanced level of proficiency:

• Big data.
• Data visualization.
• Computational thinking and programming.
• Data wrangling.
• Data preprocessing.
• Creative reasoning.
• Verbal & written communication skills.
• Collaboration & team skills.
• Analytical and problem solving skills.
• Influence skills.
• Data driven decision making.
• Advanced Python programming skills and extensive experience in predictive modeling is mandatory for this role. Some experience in SAS and AWS sage maker will be an asset.
• Typically between 5 - 7 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.

Salary :

$82,800.00 - $154,800.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: 

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at .

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

**Job Description**
**Work Arrangement:**
**Hybrid -** This role is categorized as hybrid. This means the successful candidate is expected to report to Oshawa Elevation Centre three times per week, at minimum.
**About GM:**
At General Motors we pride ourselves on designing, building and selling the world's best vehicles. We are seeking a new generation of visionaries to help launch bold engineering and business initiatives, and shape new directions for General Motors. As an intern or co-op student through our EXCEL (Exploring Careers through Experiential Learning) Program you will gain hands-on career specific experiences to maximize your real world potential.
Collaborating on innovation challenges, interacting with Industry leaders, attending cross-functional networking events and volunteering for community service activities.
**The Role**
The Data Science Intern will assist the Warranty and Technical Services departments with identifying key trends and data insights to assist with process improvements. Reporting directly to the National Manager of Warranty Administration & Technical Services, part of our Customer Care and Aftersales division, you will work closely with the managers and analysts in several Customer Care & Aftersales departments. This position is a true cross functional learning opportunity. An analytic skill set is required for this position to assist with outlining common themes with multiple data sets. The individual will also be heavily involved with policies and procedures regarding corporate and dealership service operations. The ideal candidate would have a technical/mechanical interest or knowledge.
**Key Responsibilities:**
+ Support the creation of industry standard tools to automate reporting
+ Develop machine learning based algorithms for data mining and predict future emerging trends and issues
+ Active in support of the day-to-day business operations
+ Active in & lead special projects
**Required Qualifications:**
+ Pursuit of a Bachelor's (3rd, or 4th year) or Master's degree in the following areas: Engineering, Mathematics, Science, Data Analytics, Computer Science, Computer Engineering, Software Engineering
+ Eligible to work full-time (40 hours per week) in Canada for a 8 month term (Jan- Aug 2026)
+ Highly developed analytical skills to contribute to the investigations and business decisions
+ Competency with understanding, writing, and debugging code in standard coding languages
+ Ability to work independently, navigate multiple systems and develop solutions
**Preferred Qualifications:**
+ Proficient in Python & Database Management Tools such as Databricks, with hands-on experience in leveraging LLMs and generative AI technologies
+ Skilled in building advanced analytics solutions using Databricks, Power BI and SQL for data visualization and insights
+ Consistently demonstrates innovative thinking that is customer-centric
+ Strong interpersonal, communication, organizational, problem solving and leadership skills
+ Familiar with automotive terms and technical knowledge
**Sponsorship:** PLEASE ONLY APPLY IF YOU DO NOT NEED SPONSORSHIP TO WORK IN CANADA NOW OR IN THE FUTURE. WE ARE UNABLE TO CONSIDER CANDIDATES WHO REQUIRE SPONSORSHIP
_NOTE- YOU MUST BE ENROLLED IN A CO-OP OR INTERNSHIP PROGRAM AND MEET THE PROGRAM'S ELIGIBILITY REQUIREMENTS. ALL STUDENTS MUST ALSO BE LEGALLY ENTITLED TO WORK IN CANADA._
_Accommodation is available for applicants with disabilities. Should you be contacted by General Motors of Canada Company, please advise if you require accommodation._
_For more information about GM Canada, visit our website at_ _ Motors of Canada values diversity and is an equal opportunity employer._
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
**Non-Discrimination and Equal Employment Opportunities**
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
**Accommodations**
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email ( ) us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company ( Culture**
**How we hire ( diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations ( are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) ( . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients.
Citi's Mission and Value Proposition ( explain what we do and Strategy ( explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients' and the public's trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve.
The Data Science and Project Governance Senior Analyst is a seasoned professional role adept in data mining, working with big data sets and program management. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.
**Responsibilities:**
Data Science and analytics:
+ Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.
+ Mines and analyzes data from various banking platforms to drive optimization and improve data quality.
+ Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan.
+ Consults with business clients to determine system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives.
+ Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions.
+ Formulates and defines systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards.
+ Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams.
+ Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impact
Project and Program Governance
+ Manages a large multi-faceted portfolio. Owns, with minimum supervision, project and teams goals leveraging expertise to inspire a sense of shared purpose within the team.
+ Organizes solutions to new challenges and drive business results. Uses best practice PMO methodology to create a project plan to fit the stakeholders/customers' needs and deliver within budget on desired outcomes.
+ Drives end results through management of portfolio deliverables ( milestones/ regulatory mandates/ organizational requirements) while meeting time sensitive deadlines.
+ Applies a proactive approach in routinely tracking the portfolio progress against project goals. Defines, teaches, and enforces the use of good project management practices such as techniques in resolving complex, interdependent activities into tasks and sub-tasks that are documented, monitored and controlled.
+ Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information.
+ Performs other duties and functions as assigned.
+ Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
**Qualifications:**
+ 5+ years of experience in business and data analysis, process improvement and project management
+ Possesses knowledge of PPM tools ( Clarity/ fundamentals of Oracle people soft or any project tracking tool)
+ Proficient in MS Office applications, Excel, PPT, SharePoint, MS Project Stays abreast of current industry trends and new technology through professional associations, trade journals, networking, and associated training and seminars
+ Manage project scope by assessing requirements changes, determining and conveying impact on budget, time and risk.
+ Manage client expectations, anticipates operational and tactical risks and tracks them; clarify, identify, and track requirements and issues, remove barriers, resolve minor project issues and escalate to immediate manager where required.
+ Ability to effectively use complex analytical, interpretive and problem solving techniques.
+ Demonstrated interpersonal, verbal and written communication skills.
+ Experience using tools for statistical modeling of large data sets
+ PMP, CSM, Scrum or other relevant Project Management certifications are a plus.
**Education:**
+ Bachelor's/University degree or equivalent experience.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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**Job Family Group:**
Technology
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**Job Family:**
Data Science
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**Time Type:**
Full time
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**Primary Location Full Time Salary Range:**
$94,300.00 - $141,500.00
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**Most Relevant Skills**
Please see the requirements listed above.
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**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
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_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.