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Added 1 min ago
Aircraft Maintenance Engineer, ACA (Avionics)
Cargojet
Hamilton, ON
Full-time
Perform aircraft maintenance in accordance with Cargojet's Maintenance Control Manual (MCM), Maintenance Policy Manual (MPM), approved technical data, and applicable regulatory requirements.
Added 15 mins ago
Data Science Expert
Amaris Consulting
Toronto, ON
Full-time
Experience working with MES (Manufacturing Execution Systems), LIMS (Laboratory Information Management Systems), and process data platforms.
Added 15 mins ago
Global Clinical Distribution Lead
Amaris Consulting
Mississauga, ON
Full-time
Demonstrates curiosity, active listening, and a willingness to experiment and test new ideas, with a focus on continuous learning and improvement
Added 15 mins ago
Devops Developer
Ericsson
Bas-Saint-Laurent, QC
Full-time
…including Java, TypeScript, Linux, Git, Jenkins, Docker, and test automation frameworks. This opportunity is open to recent graduates and those early in their careers who are eager to learn…
Added 15 mins ago
Devops Developer
Ericsson
Montreal, QC
Full-time
…including Java, TypeScript, Linux, Git, Jenkins, Docker, and test automation frameworks. This opportunity is open to recent graduates and those early in their careers who are eager to learn…
Added 15 mins ago
Field Technician
Pinchin Canada
Mississauga, ON
Full-time
Inspect and test during environmental remediation
Added 15 mins ago
Business Analyst
OMD
Toronto, ON
Full-time
…Business Outcomes. Establishing That Relationship Requires Data-focused Capabilities Across 3…
Added 31 mins ago
Sr. Business Systems Analyst
TD
Toronto, ON
Full-time
…assist in campaign design, creative content creation, content management hosting, data analysis, AI, and decision engines that deliver personalized content to every channel including…
Added 31 mins ago
Quality Engineering III
TD
Toronto, ON
Full-time
Provide test expertise with a focus on efficiency, developing innovative solutions covering all aspects of testing, with a focus on automation, end-to-end solutioning leveraging diverse…
Added 31 mins ago
Senior IT Developer
TD
Toronto, ON
Full-time
Log management tools like Splunk, Data Dog and Dynatrace
Added 31 mins ago
Cyber Security Co-op/Intern – JEDI Partnership
TD
Toronto, ON
Full-time
· Cyber Security Risk Officers analyze, report on, and mitigate risks related to technology, data, vendors, applications, infrastructure, information, and Cloud. Each of the Cyber Security…
Added 31 mins ago
(Fastwater Staffing) Satellite Electrical Power System (EPS) Design Engineer - Montreal, Canada [Full Relocation Package]
HIKINEX
QC
Contract
Analyse test data, close out anomalies, and update design baselines.
Added 31 mins ago
(Fastwater Staffing) EMC/EMI System Engineer SME - Montreal, Canada [Full Relocation Package]
HIKINEX
QC
Contract
Oversee test-facility set-up, instrumentation calibration, test execution, data reduction and results certification.
Added 44 mins ago
Co-op Student, Corporate FP&A
Nutrien
Saskatoon, SK
Internship
Assist with financial planning and analysis tasks such as data entry, validation, and reporting, while helping maintain documentation and process tracking
Added 44 mins ago
Cyber Security Co-op/Intern – JEDI Partnership
TD
Toronto, ON
Full-time
Cyber Security Risk Officers analyze, report on, and mitigate risks related to technology, data, vendors, applications, infrastructure, information, and Cloud. Each of the Cyber Security…
Added 44 mins ago
Designer, Development (Service)
Husky Technologies
Bolton, ON
Full-time
…problem solving process, the team member will analyze service data, identify/investigate potential root causes, verify true root causes, and develop permanent corrective…
Added 44 mins ago
ERP Business Analyst
Husky Technologies
Bolton, ON
Full-time
…requirements, functional specifications, process flows, use cases, test cases, and other project artifacts throughout the project…
Added 44 mins ago
Mechanical Designer (Fluidpower)
Husky Technologies
Bolton, ON
Full-time
Cross discipline interaction and communication including cross discipline inputs – Analysis, Electrical, Software, Mechanical, Metallurgy, Manufacturing, Validation/Test
Added 44 mins ago
Test Engineering Technologist
Husky Technologies
Bolton, ON
Full-time
…a powerful risk prioritized product development process.The Test Engineering Technologist plays a critical role by working within the Innovation and Sustainability Team, helping to bring…
Added 44 mins ago
Quality Technician
Husky Technologies
Bolton, ON
Full-time
Support compliance with ISO 9001 Quality Management System requirements
Added 44 mins ago
Test Engineering Technologist - Process Packaging
Husky Technologies
Bolton, ON
Full-time
Participate in test plan review and contribute to improve reliability of data
Added 46 mins ago
Senior Java Developer - Vice President
Citi
Mississauga, ON
Full-time
Solve Complex Challenges: Design and build a scalable, resilient, and cloud-native architecture for a complex workflow and case management system.
Added 46 mins ago
AI DevOps Specialist (AI Enablement & Secure DevOps)
Celestica International LP
Toronto, ON
Multi-Phase Sandbox Rollout: Own the deployment and lifecycle management of the HPS AI Sandbox environment across cloud and hybrid infrastructures.
Added 1 hour ago
Supply Growth Lead
Forum Ventures
Remote, Canada
Full-time · Remote
…countries. We know it needs to be far bigger, far deeper in its data, and far more impactful for the suppliers themselves. That's this…
Added 1 hour ago
Business Analyst
Spait Infotech
Canada
Full-time
Create acceptance criteria and support test planning and user acceptance testing (UAT).

Amaris Consulting

Data Science Expert

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 21, 2026
Posting language: English
Posted: Sep 21, 2026

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Original job description

Job Description

We are looking for a Data Science Expert to support the development of advanced data and analytics solutions within a highly regulated manufacturing environment. The successful candidate will work closely with cross-functional teams to transform complex process and operational data into actionable insights, enabling data-driven decision-making and continuous improvement initiatives.

Location & Work Mode

Location: Toronto, ON
Work Mode: Hybrid
Seniority: Middle (4–6 years of experience)
Schedule: Flexibility to work with European time zones, including availability for an early shift (approximately 6:00 AM – 2:00 PM)

Key Responsibilities

Design, develop, and maintain ready-to-use data and analytics systems.
Extract, organize, contextualize, and transform data from multiple source systems into business-ready formats.
Collaborate with stakeholders across Manufacturing Science & Technology (MSAT), Automation, Digital, Quality, and other functions to gather analytics requirements.
Map process parameters and manufacturing data to source systems such as MES, PI Historian, LIMS, iShift, and cloud-based data platforms.
Develop data contextualization pipelines within cloud-based AI and analytics environments.
Build and maintain data visualization solutions and dashboards to support operational and business needs.
Develop and support machine learning models and advanced analytics solutions.
Ensure data integrity, consistency, and accessibility across multiple platforms.
Support continuous improvement initiatives through data-driven insights and process monitoring.

Required Qualifications

4–6 years of experience in Data Science, Data Analytics, Data Engineering, or related fields.
Strong experience working with manufacturing, process, or operational data.
Hands-on experience with:

Python
SQL (MS SQL Server)
Power BI
Snowflake
GitHub

Experience working with MES (Manufacturing Execution Systems), LIMS (Laboratory Information Management Systems), and process data platforms.
Knowledge of data modeling, data pipelines, data contextualization, and analytics solution development.
Strong communication skills and ability to collaborate with cross-functional stakeholders.
Ability to work in a fast-paced environment and manage multiple priorities.

Nice-to-Have Qualifications

Experience with PI Historian and PI Vision.
Experience with JMP, SIMCA, and SIMCA-online.
Exposure to Machine Learning and AI platforms.
Experience within Life Sciences, Pharmaceutical, Biotechnology, or other regulated industries.
Understanding of manufacturing processes and process performance monitoring.

Expected Compensation Range:

50K-100K The final compensation offered will be determined based on the candidate’s level of experience, skills, and qualifications, in compliance with applicable pay transparency requirements.

Canadian Experience Requirement:

No Canadian work experience is required for this position. Candidates are encouraged to apply regardless of previous Canadian experience.

Artificial Intelligence (AI) Disclosure:

No Artificial Intelligence (AI) tools are used in the screening, assessment, or selection of candidates for this position. All stages of the recruitment process are conducted by human recruiters and hiring managers.

Statement Regarding Job Vacancy:

This position is a Job creation, created to support ongoing project needs.

Recruitment Process & Feedback Timeline:

Candidates will receive feedback on their application within a maximum of 45 days from the date of application or from their most recent interview stage.

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.

Who are we?

Amaris Consulting, part of Mantu is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.

At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:

Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!

Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!

Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.

As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.

We look forward to meeting you!

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More about this job

Responsibilities

Design, develop, and maintain data and analytics systems while transforming complex operational data into actionable insights. Collaborate with cross-functional teams to map process parameters and support continuous improvement initiatives through data-driven decision-making.

Requirements

Requires 4–6 years of experience in data science, analytics, or engineering with strong proficiency in Python, SQL, and Power BI. Candidates should have experience working with manufacturing or process data and familiarity with systems like MES and LIMS.

Skills

Python
SQL
Power BI
Snowflake
GitHub
Data modeling
Data pipelines
Data contextualization
Machine learning
Advanced analytics
MES
LIMS
Process monitoring
Data visualization
Cloud-based data platforms

Benefits

Training system
Internal academy
Team building events

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Data Analytics
Data Engineering
Python
SQL
MS SQL Server
Power BI
Snowflake
GitHub
MES
PI Historian
LIMS
iShift
Cloud-based data platforms
Machine Learning
AI
Data contextualization
Data modeling
Manufacturing Science & Technology
Process monitoring
Life Sciences
Pharmaceutical
Biotechnology
JMP
SIMCA
SIMCA-online
Data integrity

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