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Added 6 mins ago
B
Marketing Specialist
BorderPass
Canada
- Full-time
…audiences. Ensure all content aligns with the brand and supports business…
Added 6 mins ago
C
BI Analyst-EN
CAE
Montreal, QC
- Full-time
As a key member of the Civil Products Business Intelligence team, the Business Intelligence Analyst designs, develops, and maintains analytical solutions that support strategic and…
Added 6 mins ago
IG
Peoplesoft Developer
Insight Global
London, ON
- Contract
Insight Global is seeking a PeopleSoft Developer to support a higher education client within their Application Services team. This role is 5 days onsite in London, Ontario and will support…
Added 6 mins ago
AC
Full-time Fundraising Events and Sponsorship Advisor
Algonquin College of Applied Arts and Technology
Ottawa, ON
- Full-time
Minimum three (3) year post-secondary diploma or bachelor’s degree in business administration, Fundraising and Non-Profit Management, Marketing, Communications, Public Relations, Event…
Added 6 mins ago
AC
Full-time Solution Architect, Student Information Systems
Algonquin College of Applied Arts and Technology
Ottawa, ON
- Full-time
…new Student Information System (SIS). They work closely with business stakeholders and IT teams, ensuring that solutions meet both functional and non-functional requirements while…
Added 6 mins ago
AC
Manager, AI Integration and Academic Innovation (1 Year Contract)
Algonquin College of Applied Arts and Technology
Ottawa, ON
- Contract
…Innovation is responsible for advancing the College's artificial intelligence (AI) initiatives by coordinating the implementation of strategic AI projects and pilot portfolios that support…
Added 6 mins ago
AC
Full-time Finance and Operations Manager
Algonquin College of Applied Arts and Technology
Ottawa, ON
- Full-time
In addition to the cross-portfolio business operations mandate, the position has direct management accountability for the AC Hub, Spiritual Centre, Volunteer Centre and Housing Office. The…
Added 6 mins ago
AC
Part-time Partnerships Special Projects
Algonquin College of Applied Arts and Technology
Ottawa, ON
- Part-time
Minimum three (3) year diploma or degree with a focus in project management, event management, business, or other related fields
Added 6 mins ago
AC
Associate Director, Information Security
Algonquin College of Applied Arts and Technology
Ottawa, ON
- Full-time
Translate complex cybersecurity risks into actionable business recommendations and represent the College in relevant industry forums.
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AC
Accounts Receivable Supervisor
Algonquin College of Applied Arts and Technology
Ottawa, ON
- Full-time
As the Finance business owner for Accounts Receivable processes within the College's Student Information System, you will work closely with partners across the institution, particularly the…
Added 6 mins ago
NS
Marine Account Manager - Power Systems (Commission)
Nova Scotia Boatbuilders Association
Dartmouth, NS
- Full-time
…internal team as required for the development and execution of…
Added 6 mins ago
AC
Manager, Treasury and Financial Services
Algonquin College of Applied Arts and Technology
Ottawa, ON
- Full-time
Champion process improvement initiatives, system enhancements, automation opportunities, and business continuity planning.
Added 6 mins ago
AC
Admissions Officer - Appendix D / Temporary Assignment
Algonquin College of Applied Arts and Technology
Ottawa, ON
- Temporary
Minimum two (2) year post-secondary Diploma; Business Administration, Public Administration; Equivalent combination of relevant education and work experience may be accepted in place of…
Added 6 mins ago
HC
KHRONOS Standard Expert Lead
Huawei Canada
Vancouver, BC
- Full-time
Lead the graphics standard team and business vision to define, design and develop enhancements target to future oriented graphics APIs and advance the feature sets of such APIs.
Added 6 mins ago
UI
Account Development Specialist
UAP Inc.
AB · Edmonton, AB
- $67,800 to $84,800 CAD / year
- Full-time
…NAPA. You are accountable for building and maintaining quality business relationships with existing and new customers by implementing National, Regional and District-level sales development…
Added 6 mins ago
TO
GIS and Data Visualization Technologist
Town of Oakville
Oakville, ON
- Full-time
…customer service. The successful candidate will contribute to business solutions by gathering user requirements, supporting project management activities, and providing training and…
Added 6 mins ago
K
Contract Logistics Operations Manager
Kuehne+Nagel
Mississauga, ON
- Full-time
…candidates will be reviewed to ensure the best fit for the role and business…
Added 6 mins ago
SR
Chief Financial Officer
Swim Recruiting
Toronto, ON
- $240,000 to $300,000 CAD / year
- Full-time
…not pushing a major system change. They are taking data and intelligence that customers often already have, and strategically connecting the information to monetize real results. So far the…
Added 8 mins ago
C
Client Engagement Associate [Hourly]
CIBC
Ottawa, ON · Richmond Plaza
- Part-time
As a member of the Personal and Business Banking Team, you'll work in a fast-paced Banking Centre, leveraging your knowledge of financial services products to support clients with their…
Added 8 mins ago
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Sr. Consultant, Full Stack Developer
CIBC
Toronto, ON
- Full-time
…change the way that people bank. As a Consultant, Full Stack Developer, you’ll assist in developing, testing, and supporting the implementation of cross-functional, multi-platform…
Added 8 mins ago
C
Banking Centre Leader
CIBC
Saint John, NB
- Full-time
As a member of the Personal and Business Banking Team, you’ll lead a team of high performing financial services professionals working towards a shared goal - delivering an exceptional…
Added 8 mins ago
C
Financial Planning Specialist
CIBC
Thornhill, ON
- Full-time
…job-related knowledge, as well as geographic location and specific business needs. Our compensation philosophy supports ongoing growth and development, enabling progression within the…
Added 8 mins ago
C
Banking Centre Leader
CIBC
Moncton, NB
- Full-time
As a member of the Personal and Business Banking Team, you’ll lead a team of high performing financial services professionals working towards a shared goal - delivering an exceptional…
Added 8 mins ago
AB
Learning & Development Analyst – Learning & Organizational Development
Alberta Blue Cross
AB
- Full-time
Explore and apply emerging technologies, including artificial intelligence, to enhance learning experiences, improve efficiency and support business outcomes.
Added 8 mins ago
OG
Director of Commercial Property Management
Onni Group of Companies
Vancouver, BC
- Full-time
At Onni, you’ll learn from experienced professionals across every part of our business, take on real responsibility early, and have clear room to grow - whether your path is in commercial…

Capgemini

Senior Data Scientist

Kamloops, BC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 19, 2026
Experience: 5+ years of prior work experience in Artificial Intelligence, Machine Learning, Data Science, Advanced Analytics, or related technical fields
Posting language: English
Posted: Oct 20, 2026

Original job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Location - Westlake TX / Burlington MA / Durham NC (Day One Onsite - Hybrid)

About The Role

We are looking for a Data Scientist with expertise in predictive modeling, personalization, recommender systems, optimization, GenAI, and responsible AI systems.
It offers an exciting environment for multidisciplinary AI research and development with access to a diverse set of data sources.
We seek applicants from all areas of computer science, machine learning, data mining, optimization and related technical fields with a passion and demonstrated ability for delivering AI-powered solutions that drive meaningful customer and business outcomes.
The Value You Deliver As part of a high-caliber team of researchers and practitioners, you will work closely with business stakeholders and leverage advanced AI/ML tools and platforms to solve a variety of business problems.
You will be responsible for developing and deploying AI-driven solutions across use cases such as customer engagement, personalization, recommendation, decision optimization and customer insights.

Required Skills

Master's or Ph.D. degree in Computer Science, Data Science, Operations Research, Statistics, Applied Mathematics, or a related discipline
5+ years of prior work experience in Artificial Intelligence, Machine Learning, Data Science, Advanced Analytics, or related technical fields
Experience in unsupervised and supervised machine learning, predictive modeling, propensity models, recommender systems, deep learning, graph-based learning techniques
Experience working with advanced NLP frameworks (Transformers, etc.), GenAI solutions, and LLMs
Experience in formulating and solving optimization problems
Knowledge of model evaluation, tuning, performance measurement, deployment and solution scalability
Strong verbal/written communication and presentation skills, including the ability to effectively communicate with both business and technical teams

Must Have Skills

Strong hands-on experience building predictive machine learning models, recommender systems, ranking models, and prescriptive optimization models
Strong proficiency in Python, SQL, MLOps, and modern AI/ML development frameworks (Scikit-learn, TensorFlow, PyTorch, Hugging Face, AWS Sagemaker, etc.)
Expertise across the AI/ML lifecycle, including experimentation, A/B testing, feature engineering, model development, deployment, monitoring, measurement, and governance
Experience evaluating, deploying, and governing GenAI solutions, including RAG, knowledge retrieval, agentic AI workflows, LLM Finetuning, LLM evaluation frameworks

Nice to Have skills

Experience in applying ML, DL, Econometric and Foundation Models for time series forecasting
Experience working with knowledge graph, graph-based learning approaches
Experience in constraint/mathematical programming, optimization packages and solvers (IBM ILOG CPLEX, Gurobi, Google OR-Tools, etc.)

Life At Capgemini

Capgemini Supports All Aspects Of Your Well-being Throughout The Changing Stages Of Your Life And Career. For Eligible Employees, We Offer

Flexible work
Healthcare including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well-being benefits like subsidized back-up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Salary Transparency

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $80420 to $106050 /yearly.

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

The base compensation range for this role in the posted location is:$80420 to $106050

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Benefits

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Apply About employer

More about this job

Responsibilities

Develop and deploy AI-driven solutions for customer engagement, personalization, recommendations, decision optimization, and customer insights. Collaborate with business stakeholders and multidisciplinary AI teams to apply advanced tools and platforms to business problems and deliver measurable outcomes.

Requirements

Requires a master's or Ph.D. in a relevant technical discipline and at least five years of experience in AI, machine learning, data science, advanced analytics, or a related field. Candidates should have hands-on expertise in predictive and recommendation models, optimization, Python, SQL, MLOps, the AI/ML lifecycle, and evaluating, deploying, and governing generative AI solutions.

Skills

Predictive Modeling
Machine Learning
Recommender Systems
Ranking Models
Optimization
Python
SQL
MLOps
Generative AI
Large Language Models
Retrieval-Augmented Generation
Natural Language Processing
Deep Learning
Graph-Based Learning
A/B Testing
Model Deployment

Benefits

Flexible Work
Health Insurance
Dental Insurance
Vision Insurance
Mental Health and Well-Being Programs
401(k)
Employee Share Ownership Plan
Paid Time Off
Paid Holidays
Paid Parental Leave
Adoption Assistance
Surrogacy Assistance
Cryopreservation Benefits
Back-Up Child and Elder Care
Tutoring
Mentoring
Coaching
Learning Programs
Employee Resource Groups

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Data Science
Advanced Analytics
Predictive Modeling
Propensity Models
Recommender Systems
Ranking Models
Prescriptive Optimization
Supervised Learning
Unsupervised Learning
Deep Learning
Graph-Based Learning
Natural Language Processing
Transformers
Generative AI
Large Language Models
Retrieval-Augmented Generation
Knowledge Retrieval
Agentic AI Workflows
LLM Fine-Tuning
LLM Evaluation
Python
SQL
MLOps
Scikit-Learn
TensorFlow
PyTorch
Hugging Face
AWS SageMaker

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