Who We Are
Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.
With a global team across North America, South America, Central America, Europe, Africa, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data \& AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA \& Test Engineering.
From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.
Location and Flexibility
This is a hybrid role. This model requires the ability to work in a hybrid mode from one of our offices in Porto Alegre (3 times/ week or 12 days/ month). Our WFN culture is designed to foster in-person innovation, collaboration, and connection with team members local and visiting from other global offices.
The Opportunity
Are you a technically-driven leader who thrives at the intersection of hands-on data science and people leadership? Do you want to stay deeply involved in code, architecture, and machine learning while also mentoring and growing a high-performing team?
As a Data Science Manager at TELUS Digital, you'll lead one or more cross-functional teams to build high-impact, AI-powered solutions for international clients across diverse industries, healthcare, finance, and beyond. This is a dual role: you will have both technical responsibilities on projects and people management responsibilities, including career development, team growth, and coaching. The intention is to provide a balance where you remain deeply engaged in technical work while also contributing to the development of the team.
Success looks like: An energized, happy team building high-quality data science and AI solutions for eager, engaged client stakeholders while you maintain your technical edge and continue to grow as both a technologist and a leader.
Responsibilities
Technical Leadership:
Provide technical guidance to teams and projects for international clients, acting as a tech lead and architect on data science and AI initiatives
Work alongside GenAI Engineers, Data Scientists, and Data Engineers to design, build, and deploy cutting-edge machine learning models and AI-powered solutions
Drive data architecture and ML deployment decisions, influencing frameworks, infrastructure choices, and production-grade model implementation
Stay at the forefront of innovation: Explore and introduce the latest GenAI trends, tools, and frameworks to teams and clients when appropriate
Solve cross-industry challenges: Tackle advanced technical problems across diverse domains (telecom, healthcare, finance, etc.), ensuring exposure to varied and enriching problem spaces
Shape technical deliveries: Use your expertise to advocate for best practices in AI, data strategy, and ML system architecture
People Leadership:
Lead and mentor cross-functional teams to deliver high-quality solutions while fostering collaboration, autonomy, and growth
Support your team's career development: conduct one-on-ones, set goals, provide coaching and feedback, and champion their professional growth and promotions
Perform performance evaluations and create career plans that help team members reach their full potential
Build a culture of excellence: Foster team autonomy, proactive engagement, and a feedback-driven environment where everyone thrives
Qualifications
5+ years of professional experience in data science and machine learning development, with a demonstrated track record of delivering high-impact ML solutions.
Strong background in data science: You've been a data scientist or similar role in the past, with deep hands-on experience in Python, machine learning algorithms, statistical methods, and ML system architecture.
Proven ability to design, implement, and evaluate complex models at scale, including experience with data strategy and governance techniques.
Experience with cloud platforms (AWS, Azure, or GCP), containerization (Docker, Kubernetes), MLOps frameworks, and production-grade model deployment.
You’ve gained experience supporting and developing engineers, whether as a tech lead, coordinator, manager, or in a similar role, through goal-setting, coaching, and feedback.
Architectural thinking: You can design end-to-end data science architectures and understand how systems will run in production, even if you're not the one building the infrastructure.
Excellent communication skills: You can simplify and communicate complex problems around technology, business processes, and development tasks to both technical and non-technical stakeholders.
Comfortable having difficult conversations and always keeping your clients' and teammates' best interests in mind.
Equal Opportunity Employer
At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity.
We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us.
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