Job Specifications
Job Type: PermanentWork Model: HybridReference code: 132157Primary Location: Toronto, ONAll Available Locations: Toronto, ON; Burlington, ON; Calgary, AB; Edmonton, AB; Fredericton, NB; Halifax, NS; Kitchener, ON; Moncton, NB; Ottawa, ON; Regina, SK; Saint John, NB; Saskatoon, SK; St. John's, NL; Vancouver, BC; Victoria, BC; Winnipeg, MB
Our Purpose
At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.
By living our Purpose, we will make an impact that matters.
Have many careers in one Firm.
Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
Learn from deep subject matter experts through mentoring and on the job coaching
What will your typical day look like?
As a Data Science Manager, you will play a key role in leading the delivery, building capabilities, and pursuing new data science opportunities in high-growth areas including retail analytics, customer analytics, marketing analytics, and optimization solutions. You will take a lead in delivering advanced analytics solutions and advisory services to high-growth organizations, managing and supporting a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders.
You will be responsible for client communication, from sales and business problem definition to final delivery, knowledge transfer, and model maintenance. You will guide your team through solutioning and delivery, including advanced analytics model design and development, insight generation, and the development of AI and ML models. As a key part of this process, you will make most appropriate model selection and ensure quality and delivery of statistical and AI/ML models, computations, and data ETL by the data science team, to deliver best-of-breed analytical solutions for clients’ business problems. You and your team will work with large amounts of data on a granular level, from structured and unstructured data sources and participate in various structured and ad-hoc analysis projects. You will be a principal link between data science team and the client and will regularly communicate insights on client projects and provide support in planning and data collection. You will both lead and support pitches and proposal bids to drive business development.
About The Team
Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-one experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.
Enough about us, let’s talk about you
You are someone with these required skills, experience and qualifications:
5+ years of experience in applying analytics or model development using data in a professional context.
Significant experience with statistical techniques, data mining, optimization (linear programming), and predictive models.
Proficiency in hands-on data analysis and modeling using Python.
Experience with databases and programming languages (SQL, Oracle, Hadoop, NoSQL) for data manipulation and integration.
Experience with cloud ML platforms (AWS, GCP, Azure) is an asset.
Experience with natural language processing, computer vision, and/or GenAI is an asset.
Advanced degrees (MSc, equivalent, or higher) in Statistics, Applied Mathematics, Mathematical Physics, Computer Science, or a related field is required.
BA/BSc degree in these fields will be considered if coupled with significant industry experience demonstrating proven success in leading complex projects.
It would be great for you to have some of these nice-to-haves as well:
Leadership or management experience, including project management in analytical, ML, or data-driven fields.
Proven track record in leading teams for end-to-end delivery of advanced analytics, data science, or AI/ML solutions.
Ability to understand the business significance of data, handle data ambiguity, develop creative analytical solutions, and interpret results from a business perspective.
Enthusiasm for solving complex problems with various analytical tools.
Strong oral and written communication skills, with the abilit