Data Scientist

Our challenge

We are seeking a detail-oriented and skilled Data Scientist to join our machine learning team/squad. The role focuses on developing and maintaining AI solutions, including machine learning and Generative AI. The candidate should be familiar with Python development, predictive analytics, and prompt engineering, and able to work with clients and SMEs to understand business requirements and develop robust models and solutions.

• Contribute to development and maintenance of Machine Learning models for business problems.
• Contribute to model evaluation, parameter tuning, feature selection, and model calibration experiments for predictive analytics projects.
• Contribute toward prompt engineering for data analysis and discovery.
• Conduct regular testing and performance analysis.
• Conduct necessary benchmarking experiments.

• Bachelor’s degree in computer science or related field.
• 5+ years hands‑on experience in building ML and Data Science solutions for real‑world problems.
• Understanding of ML models and concepts, good practices and analysis.
• Experience/understanding with Open AI and different LLM models, prompt engineering, testing and performance evaluation.
• Strong data science and statistical analytics skills.
• Strong problem‑solving with an innovative mindset.
• Strong Python development skills.
• Good communication skills.

• Relevant certifications in data science, AI, or cloud services.
• Knowledge of version control systems (e.g., Git) and CI/CD pipelines for ML workflows.
• Familiarity with advanced analytics techniques such as deep learning or ensemble methods.

• Base salary in Montreal, QC: CAD $80k – $90k per year + benefits.
• 15 days of paid annual leave plus an additional 10 days of personal leave (floating days and sick days).
• Comprehensive insurance plan including medical, dental, vision, life insurance, and long‑term disability.
• Adaptable hybrid policy.
• RRSP with employer’s contribution up to 4%.
• Higher education certification policy.
• On-demand Udemy for Business with access to over 5,000 curated courses.
• Coaching opportunities with experienced colleagues from Fin Labs and CoE groups.
• Projects at leading tier‑one banks, financial institutions, and insurance firms.
• Inclusive, diverse, fun‑loving global work culture.

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.