Data Scientist

Amaris Consulting; Montreal (administrative region); Hybrid; CAD 70,000 - 120,000; Full time

Benefits offered by this job

International community

Structured training (Academy)

Team events and social activities

Job summary

Amaris Consulting is seeking a Data Scientist to join a dynamic technology team in Montreal. You will work on data-driven solutions within a global financial services environment, focusing on analytics, predictive modeling, and automation.

You will collaborate with tech and business teams to develop AI-enabled solutions, manage data platforms, and deliver insights that improve operational efficiency and decision making.

Qualifications

• Bachelor’s degree in Computer Science or a related field.
• 3–5 years of experience as a Data Scientist with hands‑on ML and data science solutions.
• Understanding of ML models and concepts with good practices and analysis.
• Experience with OpenAI and various LLM models, including prompt engineering, testing, and performance evaluation.
• Strong data science and statistical analytics skills.
• Strong problem‑solving abilities with an innovative mindset.

Responsibilities

• Develop Machine Learning models for business problems and maintain them.
• Evaluate models, tune parameters, and perform feature selection for predictive analytics projects.
• Contribute to prompt engineering for data analysis and discovery.
• Conduct regular testing and performance analysis.
• Run benchmarking experiments.

Skills

Python development

ML

Data Science

OpenAI

LLM models

Prompt engineering

Problem solving

Education

Bachelor's degree in Computer Science

Job description

We are looking for a Data Scientist to join a dynamic technology team supporting data-driven solutions within a global financial services environment. In this role, you will work with large and complex datasets to develop analytical models, identify insights, and create solutions that help automate and improve business processes.

This position offers the opportunity to collaborate with technology and business teams on innovative solutions involving data analysis, machine learning, automation, and predictive modeling. You will contribute to projects focused on improving operational efficiency, managing business processes and exceptions, and supporting informed decision‑making across the organization.

We are looking for someone with strong data science, analytical, and problem‑solving skills, who is comfortable working in a fast‑paced technology environment and collaborating with cross‑functional teams.

Location: Montreal

Work Mode: Hybrid — in-office presence required 3 days/week

Responsibilities

The candidate will work within a machine learning team/squad developing Artificial Intelligence solutions, including ML and Gen AI. The candidate should be familiar with Python development, predictive analytics, and prompt engineering, and should be able to work with different clients and subject matter experts to understand business requirements, develop proper Python code, and build machine learning models with proven evidence and analysis. Strong candidates will be familiar with the machine learning model / Gen AI-based solution lifecycle and maintenance, including ongoing monitoring.

• Contribute to the 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 to prompt engineering for data analysis and discovery
• Conduct regular testing and performance analysis
• Conduct necessary benchmarking experiments

Qualifications

• Bachelor’s degree in Computer Science or a related field
• 3–5 years of experience as a Data Scientist, with hands‑on experience building ML and Data Science solutions for real-world problems
• Understanding of ML models and concepts, along with good practices and analysis
• Experience with or understanding of OpenAI and various LLM models, including prompt engineering, testing, and performance evaluation
• Strong data science and statistical analytics skills
• Strong problem‑solving abilities with an innovative mindset

Why choose us

• An international community bringing together more than 110 different nationalities
• An environment where trust is central: 70% of our leaders started their careers at the entry level
• A strong training system with our internal Academy and more than 250 modules available
• A dynamic work environment that frequently comes together for internal events (afterworks, team buildings, etc.)

Amaris Consulting promotes equal opportunities. We are committed to bringing together people from diverse backgrounds and creating an inclusive work environment. In this regard, we welcome applications from all qualified individuals, regardless of sex, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.