Data Scientist

Job Description

DATA SCIENTIST

Information Technology

VictoriaorVancouverLower Mainland

12-month term

The Opportunity

At BC Ferries, data is helping shape the future of one of British Columbia's most essential transportation networks. Every day, millions of data points are generated across our vessels, terminals, customers, and operations.We'relooking for a curious, innovative Data Scientist who is excited to turn that data into meaningful insights, predictive models, AI-powered solutions, and digital products that improve how we serve coastal communities.

As part of our Enterprise Optimization, Data & Insights team,you'llwork on high-impact initiatives that span forecasting, machine learning, artificial intelligence, digital twins, operational optimization, customer experience, and enterprise analytics. This is an opportunity to apply advanced data science in an environment where your work will influence strategic decisions, improve operational performance, and help shape the future of BC Ferries.

Ifyou'repassionate about solving complex business problems, building production-ready machine learning solutions, and collaborating with talented business and technology professionals,we'dlove to hear from you.

The Role

Reporting to theExecutive Director, Enterprise Optimization, Data & Insights, you add valueto the teamby key areas ofoversight such as:

• Assistingin collecting, processing, and analyzing large datasets to uncover insights;
• Supportingthe development and implementation of machine learning models and algorithms;
• Collaboratingwith other dataexpertiseand cross-functional teams to understand business needs and contribute to data-driven solutions;
• Creatingdata visualizations and reports to communicate findings to stakeholders;
• Conductingexploratory data analysis toidentifytrends and patterns;
• Maintainingdata quality and integrity throughout the data lifecycle;
• Supportingthe establishment and maintenance of data governance practice, ensuring compliance with data policies and standards;
• Stayingupdated with the latest trends and advancements in data science and machine learning;
• Investigatingapproved data use cases and lead the design, research, development and delivery of data products,modelsand deliverables by collaborating directly with teams/individuals across the company;
• Productionizingpredictive and descriptive machine learning models in the field of time series analysis and forecasting for demand forecasts;
• Exploring, designing, and buildingAI prototypes to significantly improve customer experience;
• Usingadvanced statistics to develop, build andmaintaindata models to explain subtle trends in business performance;
• Workingcollaboratively in a multi-disciplinary team environmentestablishesand maintainingprofessional networks with subject matter experts;
• Presenting results to senior leadership in a compelling and clear manner to drive business decision-making;

What you bring to the team

• Master’sDegree in Computer Science,Data Science, Statistics, Machine Learning, Artificial Intelligence, Engineering,Economicsor other related discipline
• Certifications such as Microsoft Certified Azure Data Scientist Associate, IBM Data Science Professional Certificate etc.
• Minimum4+years of recent and related experience indeveloping advanced analytics and machine learning solutions using Python, SQL, and modern data science tools
• Experience building predictive models using techniques such as regression, decision trees, random forests, gradient boosting, support vector machines, principalcomponentanalysis, deep learning, and time series forecasting
• Experience working with structured and unstructured data, statistical modelling, natural language processing, and advanced AI and machine learning techniques
• Familiarity with cloud platforms, big data technologies, Git-based version control, and production-ready analytics environments
• Strong communicationand stakeholder engagement skills, with the ability to present complex analytical findings in a clear and compelling way.
• Strong knowledge with relational databases & structured query language (SQL)
• Experience withcutting-edgemachine learning and deep learning models,techniquesand tools
• Understanding of natural language processing (NLP), time seriesanalysisor reinforcement learning
• Experience in algorithms like logistic regression, gradient boosted machines, decision trees, random forests, support vector machines (SVM), principalcomponentanalysis (PCA), deep neural networks
• Ability to process and analyze structured and unstructured data
• Experience with one of the major cloud computing platforms such as Google Cloud
• Platform (GCP), Amazon Web Services (AWS) and Microsoft Azure
• Experience launching,planningand executing data science projects
• Proven experience and solid understanding of mathematical and statistical modelling; inference, Bayesian methods, likelihood estimation, samplingtheoryand hypothesis testing
• Working experience with distributed version control systems such as Git and GitHub
• Familiarity with big data tools (Spark, Hadoop)

Join us!

August 16,2026

Additionalinformation

The target salaryrange:$83,500 - $104,300per annum.Thestarting salary isdeterminedbased on the successful candidate’s knowledge,experienceand internal equity.

"We sail to serve and connect the people and the coast of BC”

At BC Ferries, our people are at the heart of delivering safe and reliable service along 1,600 km of coastline. Every day, we connect communities and move tens of thousands of passengers and vehicles across our 25 routes through the dedication,expertiseand hard work of our teams. Guided by a shared commitment to safety, service,inclusionand local commitment, we offer meaningful work, opportunities for growth, and the chance to make a positive impact. Whether you work onboard our vessels, in our terminals or behind the scenes,you'llplayan important rolein connecting people, supporting communities, and keeping coastal BC moving.

We support employment equity and diversity in theworkplaceand we encourage applications from all qualified individuals including women, visible minorities, Indigenous Peoples, persons with disabilities, persons of diverse sexual orientation, gender identity or expression (LGBTQ2S+), and others who reflect our ever-changing workplace.

We appreciate the interest of all applicants; however, only those selected for an interview will be contacted.

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