We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms.

Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,700+, and has 57 offices in 22 countries within key global markets.

Our challenge

We are seeking skilled Machine Learning Specialist who can support the client’s Data Centre of Excellence by designing and developing analytical data products, machine learning models, and AI-enabled services that support evidence-based policy and improved public services. Working with cross-functional teams, ministries, external stakeholders, data engineers, analysts, and business leaders, this role applies statistical analysis, data science, artificial intelligence, data modeling, de-identification, and synthetic data techniques to complex public-sector challenges. The position provides hands-on technical leadership and strategic advice throughout the data product lifecycle, while ensuring that ML solutions are reliable, explainable, privacy-compliant, ethical, and aligned with the Client Data Strategy.

The Role - Machine Learning Specialist

Responsibilities:

- Advise stakeholders and project teams on when and how to apply machine learning, including identifying appropriate use cases, data prerequisites, risks, limitations, and expected business value.
- Analyze, organize, normalize, clean, and integrate raw data from multiple sources to prepare it for descriptive, predictive, and prescriptive modeling.
- Design, develop, train, validate, document, and refine machine learning and statistical models using appropriate algorithms, packages, tools, and programming languages.
- Conduct ML-driven analysis of large datasets and communicate findings through analytical models, reports, visualizations,



dashboards, and actionable insights for government services and policymaking.
- Integrate trained machine learning models and analytical capabilities into applications, data products, and full-stack analytics or AI solutions as required.
- Develop and maintain auditing, accountability, transparency, metadata, data quality, privacy, security, and ethical governance mechanisms for ML products and services.
- Provide technical leadership, coaching, mentoring, requirements analysis, stakeholder engagement, risk escalation, and delivery support within multi-disciplinary and multi-vendor project environments.

Requirements:

- Minimum 6 years of experience using statistical and programming languages such as Python, R, and SQL for data analysis, data science, and machine learning.
- Minimum 6 years of experience building analytical and quantitative analysis models to support business, operational, policy, or service-delivery objectives.
- Minimum 6 years of experience preparing and transforming data for prescriptive and predictive modeling, including data cleaning, feature preparation, normalization, and quality assessment.
- Minimum 6 years of experience applying data analytics and data science methods, including complex statistical modeling and interpretation of analytical results.
- Minimum 6 years of experience applying artificial intelligence or machine learning to data science and analytics use cases, such as anomaly detection, predictive monitoring, classification, forecasting, data transformation, and automation.
- Demonstrated knowledge of statistical classification and machine learning techniques, including k-means clustering, hierarchical clustering, partition trees, logistic regression, and related supervised and unsupervised methods.
- Demonstrated experience gathering and documenting client requirements, framing analytical questions, developing analytical products, capturing technical and business metadata, and communicating complex findings to technical and non-technical audiences.

Nice to Have

- Minimum 5 years of experience with data sharing, data linkage,



de-identification, metadata, data quality, data ethics, synthetic data, data literacy, and the responsible use of government data.
- Minimum 5 years of experience combining and analyzing raw data from diverse sources across multiple business or subject-matter domains.
- Experience preparing visualizations, dashboards, and analytical models; applying statistical and data-mining techniques to business issues; and working with large government datasets, including a minimum of 6 years of statistical and data-mining experience and 4 years of experience with large government datasets.

We can offer you

- A multinational organization with 57 offices in 22 countries and the possibility to work abroad
- 15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave (floating days and sick days)
- A comprehensive insurance plan including: medical, dental, vision, life insurance, and long term disability
- Flexible hybrid policy to fit your schedule
- RRSP with employer’s contribution up to 4%
- A higher education certification policy
- On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses
- Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups

SYNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Synclusive’ is committed to fostering an inclusive culture – promoting equality, diversity and an workplace that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company.

We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

📌 Machine Learning Specialist (Quebec City)
🏢 Synechron
📍 Quebec City