Job Description

This is an Internal ICBC job posting for applicants within the bargaining unit. External applicants will not be considered.

We welcome applications from all qualified job seekers. Should you require any accommodations, including alternative interview formats, assistance with online assessments, or an ASL interpreter, throughout the application or hiring process, please email your request to accessibility_services@icbc.com – we are committed to ensuring an accessible experience for all candidates.

At ICBC, we strive to build diverse teams which reflect the communities we serve. To support this, we’ve created two talent communities for Indigenous Peoples and People with Disabilities By joining one of these communities, you’ll connect with our recruitment team who will guide you through the application process and help you explore opportunities at ICBC. Of course, you’re welcome to apply for jobs at ICBC whether or not you join a talent community.

We look forward to hearing from you!

The Data Engineer – Junior will join the Data Services team in Data Management Dept. and focus on the MLOps development, deployment & sustainment of Machine Learning, Data Science, Performance and Evaluative analytics solutions, working closely with business partners and stakeholders to meet their decision-support requirements.

This role will work within the IM Data Services team to support ICBC Data Science, Statistical Analysis & Machine Learning operations and equip the business to make data-driven decisions. The team uses Python, PySpark, Core Spark and SQL to perform Data Preparation & curations to support ML Models and Tableau to create self-service dashboards. The team uses the latest AI & Machine Learning Operations technologies to support these solutions and services.

As the Data Engineer – Junior, you will be responsible for:
• Understanding Data Science, Machine Learning, Performance & Evaluative Analytics model requirements, working closely with Data Scientists & Statistical Analysts, supporting them with their data and Machine Learning operational needs.
• Operationalizing Data Science Model into Machine Learning pipelines, applying coding optimization of the data science models, conducting model training and re-training, deploying the models and sustaining them in Production.
• Responding to data requests, data discovery and data profiling to support various data science, evaluative and machine learning solutions and projects, reviewing and clarifying data requirements, ensuring the data artifacts are acceptable within policy and privacy protocols.
• Providing subject matter & data expertise to the Strategic Analytics, Actuarial and Regulatory Affairs departs as well as ICBC divisional clients on data sources, reporting workflows, business process, and the appropriate tools with which to analyze their data.
• Participating with corporate data user teams, developing data science model validation and test plans, performing user acceptance testing, and providing support to data scientists, evaluative & performance metrics analysts and sustainment of their end products.
• Conducting analysis for moderate to complex strategic solutions and POCs, defining data fields and determining data availability, developing information layout, format and interactivity. Presenting findings and providing clarification.

Position Requirements:
To make an immediate contribution, the Data Engineer – Junior must bring the following:
• Proven work-based experience coding using Python Language and PySpark data framework will be required.
• Experience working with ML libraries & frameworks including Scikit-Learn for traditional ML, TensorFlow and PyTorch for deep learning.
• Proficiency in Data Science Stack such as NumPy, PySpark and Pandas for data manipulation.
• Technical knowledge in cleaning, transforming and preparing un-curated data including handling of values and feature scaling.
• Exposure to Machine Learning Operations (MLOps) supporting Model development, skills with Docker for containerization, API development and using cloud platforms.
• Knowledge & experience with Machine Learning Algorithms and techniques
• Experience or exposure to working with pre-trained models such as Large Language Models (LLM), using Retrieval-Augmented Generation (RAG) and working with pre-trained Frontier & Commodity ML models
• Experience with processing structured and unstructured data.
• Intermediate to Advance experience of writing complex SQL Queries & working with NoSQL Databases
• Knowledge of experiment tracking & Management using tools like MLFlow, Data Version Control (DVC), managing model versions, parameters and results.
• Pipeline orchestration using Apache AirFlow to automate training, testing and deployment workflows.
• Setting up automated pipelines for Continuous integration and continuous deployment (CI/CD) using GitLab.
• Excellent interpersonal, verbal and written communication skills to work with customers.
• Strong data quality management process understanding, data analysis and data profiling.
• Ability to apply critical thinking skills to troubleshoot and perform root cause analysis on technical problems and Machine Learning model deployments.
• Understanding of Agile Methodologies.
• Experience with reporting and visualization tools, such as Tableau, Jupiter or other reporting tools would be an asset.

About us:

At ICBC, it’s our job to make sure the car insurance system works for all British Columbians, today and in the future. Check out our ICBC Year in Review 2025 to learn more about what we've accomplished! If you want to make the most of your skills and expertise while growing your career, we want you. A career at ICBC is an opportunity to be part of a talented, diverse and inclusive team that is driven to serve its customers and community. You can expect a competitive salary, comprehensive benefits and a collaborative work environment. If you are reliable and dependable, contact us today to be part of our talented and diverse team as we work together to create an insurance system we can all be proud of.

Our values guide how we interact with customers, partners, and each other. They shape our decisions and create a culture where employees feel inspired and empowered to do their best work.

• Collaborative: We include different perspectives to reach our common goals.
• Supportive: We seek to understand to meet diverse and evolving needs.
• Straightforward: We simplify the complex to make things easier.
• Knowledgeable: We gain knowledge through experience and learning to make informed decisions.

Work arrangements defined:

• Hybrid 8 – you will work a minimum of 8 days in a 4-week period at your primary office headquarters (typically 2 days per week). The remaining days will be remote within British Columbia. Please note there are updates to the hybrid model, starting September. This role will be moving to 2 days per week in office.

Only candidates legally entitled to work in Canada will be considered for this position.

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