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About the Role

Join our digital consulting team focused on commercial growth within the healthcare and life sciences sector. You will combine technology, data, and creativity with deep strategy, pricing, market access, and sales expertise to optimize the commercial and patient journey. This role offers an innovative, agile work environment to apply advanced analytics to complex challenges and make an impact on leading companies.

Responsibilities

Represent Simon-Kucher as an individual contributor, delivering high-quality outputs and client-ready deliverables.
Work in teams across a wide variety of healthcare and life sciences clients, products, and project types.
Analyze and interpret healthcare and life sciences data to support commercial strategies and develop actionable recommendations.
Support data science engagements and analytical workstreams with high-quality analysis and rigorous methodology.
Support AI solution and agent development and implementation strategy.
Apply theoretical knowledge to develop predictive models using modern statistical, mathematical, machine learning, and artificial intelligence techniques.
Conduct predictive analyses by selecting, testing, and applying appropriate modeling methods.
Support the development of innovative strategies for pricing, marketing, and sales using expertise in machine learning, artificial intelligence, and analytics.
Prepare compelling presentations, reports, and client-ready deliverables.
Participate in client meetings, workshops, discussions, and presentations.
Support the development of materials for healthcare and life sciences analytics engagements.
Stay current with emerging research, market changes, and the latest data trends.
Contribute innovative ideas, creative solutions, and thought leadership.
Collaborate with internal and external business and technology experts.
Engage in workshops and training sessions to enhance consulting and business acumen, technical expertise, and knowledge.
Contribute to a collaborative and inclusive environment that fosters belonging for all.

Requirements

Undergraduate and/or graduate degree from an accredited university or college in economics, computer science, engineering, business, statistics, marketing, finance, math, or related field.
2+ years of relevant full-time work experience in AI, data science, analytics and digital in consulting and/or commercial functions.
Familiar with concepts such as LLM-based workflows, prompt design, tool/function calling, retrieval-augmented generation, workflow orchestration, or AI agent evaluation is a plus.
Strong hands-on proficiency in Python and SQL, including data cleaning, exploratory analysis, feature engineering, model development, analysis, and automation.
Experience with visualization tools such as Power BI and/or Tableau, relational databases, ETL processes, and data engineering concepts.
Strong technical foundation in statistical modeling, machine learning, and predictive modeling, with practical experience selecting, validating, and explaining models for business use cases.
Familiar with commonly used modeling techniques such as linear regression, logistic regression, support vector machines, decision trees, random forests, XGBoost, CatBoost, LightGBM, and other, supervised learning approaches.
Familiarity with common cloud-based machine learning platforms such as AWS SageMaker, Google Cloud Vertex AI, and Azure Machine Learning.
Experience working with healthcare and life sciences data sources is preferred.
Familiarity with commercial challenges in healthcare and life sciences.
Proven experience analyzing and solving complex business problems using well-developed quantitative, conceptual, and analytical problem-solving skills.
Ability to translate complex analytical outputs into clear, practical recommendations.
Excellent communication and presentation skills, with fluency in English, both written and verbal.
Proactive, self-motivated, and able to work both independently and collaboratively in a fast-paced environment.
Sharp, analytical, and structured problem-solving mindset.
Strong collaboration, teamwork, and project management skills.
Proficiency in Microsoft Office Suite, including Word, Excel, PowerPoint, and Outlook.
Ability to work from the office or client site 2–3 days per week in alignment with the hybrid working model.

Skills

Data Science
Analytics
AI
Python
SQL
Machine Learning
Predictive Modeling
Statistical Modeling
Data Visualization
Power BI
Tableau
Relational Databases
ETL Processes
Data Engineering
AWS SageMaker
Google Cloud Vertex AI
Azure Machine Learning
Commercial Strategy
Pricing
Market Access
Sales
Digital Health
LLM-based workflows
Prompt Design
Retrieval-Augmented Generation
Workflow Orchestration
AI Agent Evaluation

Location

Toronto, Canada

Work Type

Hybrid

Experience Level

Senior Consultant
2+ years of relevant full-time work experience

Education Level

Undergraduate and/or graduate degree from an accredited university or college in economics, computer science, engineering, business, statistics, marketing, finance, math, or related field.

Salary/Compensations

135,000 – 150,000 CAD/year plus potential annual performance-based bonus.

Benefits

Potential annual performance-based bonus
Comprehensive package of benefits
Paid time off
13 paid holidays per year
Medical insurance
Basic life insurance
RRSP with company matching

About the Company

Simon-Kucher is a global consultancy with more than 2,200 employees in 30+ countries.
Our sole focus is on unlocking better growth that drives measurable revenue and profit for our clients.
As a trusted commercial advisor, we combine deep consulting expertise, growth specialization, and technology to scale impact.
We optimize every lever of commercial strategy – product, pricing, innovation, marketing, sales, and digital – based on deep insights into what customers value and are willing to pay for.
With over 40 years of experience in monetization, we are regarded as the world’s leading commercial growth and pricing specialist.

Equal Opportunity

Simon-Kucher is an Equal Employment Opportunity (“EEO”) employer.
Our employment decisions are made without regard to race, color, religion, gender, national origin, age, disability, marital status, veteran or military status, or any other legally protected status.
We believe in building a culture that embraces belonging, creating an environment in which our people feel valued, are able to be themselves and feel their contribution matters.