Senior Data Scientist

Capgemini View all jobs

  • Toronto, ON
  • Permanent
  • Full-time
  • 10 days ago
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 DescriptionPrimary Responsibilities:
Develop test and deploy predictive machine learning models to support business use cases such as customer behavior risk assessment fraud detection and operational optimization
Conduct quantitative and statistical analyses on large complex datasets to extract actionable insights
Design and create data visualizations and dashboards for targeted high volume big data sources to communicate insights effectively to business and technical stakeholdersAdditional Responsibilities:
Collaborate closely with business technology and data engineering teams to translate business requirements into analytical solutions
Perform data exploration feature engineering and model validation to ensure accuracy robustness and explain ability
Document analytical approaches model assumptions and findings in a clear and concise manner
Support model monitoring performance tracking and continuous improvement post deployment
Ensure compliance with data governance privacy and regulatory standards applicable to Canadian banking environmentsRequired Qualifications:
Bachelors or Masters degree in Data Science Statistics Mathematics Computer Science Engineering or a related field
Strong hands on experience in machine learning statistical modeling and predictive analytics
Proficiency in Python eg pandas NumPy scikit learn Tensor Flow, PyTorch and/or R
Experience working with large datasets using SQL and big data platforms eg Spark Hadoop Snowflake
Solid understanding of data visualization tools such as Tableau Power BI or matplotlib seaborn
Strong analytical thinking problem solving skills and attention to detailPreferred Qualifications:
Experience in banking financial services or risk compliance analytics
Familiarity with cloud platforms AWS Azure or GCP
Knowledge of model explain ability bias detection and responsible AI practices
Excellent communication skills with the ability to present complex insights to nontechnical audiencesThe base compensation range for this role in the posted location is: 95,000 - 100,000.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.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.DisclaimersCapgemini 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.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.Ref. code: 450971Posted on: Apr 6, 2026Experience Level: Experienced ProfessionalsContract Type: PermanentLocation:Toronto, CABrand: CapgeminiProfessional Community: Data & AI

Capgemini