Accenture Data Science Consultant in Toronto, Ontario
Role: Data Scientist
Location: Toronto & Montreal
Accenture Digital: Applied Intelligence
The digital revolution is changing everything, transforming how we work and play. Are you reacting to the disruption each day or are you leading the way as a digital disrupter? Accenture Digital is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. At the forefront of digital, you’ll create it, own it and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises. Join us and become an integral part of our experienced digital team with the credibility, expertise and insight clients depend on.
Accenture Applied Intelligence
Applied Intelligence is our unique approach to combining AI with data, analytics and automation under a bold strategic vision to transform your business – not in silos, but across every function and every process, at scale. Applied Intelligence helps you maximize your existing investments and then extend new technologies across your business. With more than 6,000 deep AI experts and 3,000 data scientists, plus the flexibility to work with almost any technology partner, we can help you evaluate, maximize and scale opportunities as they arise – just one reason why 100% of industry analysts consider us among their category leaders.
A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds?
An expert at solving real-world challenges with data, AI/ML and creativity. Yes, creativity! You know the theory and you have hands-on expertise from studies, experience or self-taught projects. And you’re all about helping clients turn data into value.
Deliver insights using advanced analytics and AI/ML
Understand client needs and create solutions
Stay abreast of technology trends in AI/ML
Provide thought leadership for projects and leading technologies
Here’s what you need:
At least 5 years capturing, assessing and making recommendations, including reviewing data for completeness and consistency, analyzing, interpreting and story-telling with data
At least 2 years running AI/ML models, including predictive systems, natural language understanding, optimization, vision analytics, classical machine & deep learning
At least 2 years working with data science tools, including Python, R, Scala, SAS, Flask, Shiny and Dash
At least 2 years embracing challenges with data science lifecycle in a commercial setting
Bonus points if:
Graduate degree in data science or related disciplines, including mathematics, statistics, computer science, economics, engineering, physics or related fields
A blend of data science capability, industry & consulting expertise to create value and insights for clients
Familiarity with cloud services (AWS, GCP, Azure) and Big Data tools (Hadoop, Hive, Spark)
Ability to technically lead small teams, work across industry and with cross-functional organizations
Drive to learn and master new technologies and techniques
Accenture does not discriminate on the basis of race, religion, color, sex, age, non-disqualifying physical or mental disability, national origin, sexual orientation, gender identity or expression, or any other basis covered by local law. Accenture is committed to providing employment opportunities to current or former members of the armed forces.
We are committed to employment equity. We encourage all people, including women, visible minorities, persons with disabilities and persons of aboriginal descent to apply.
It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve our clients our employees must be available to travel when needed.
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