Job Type:Permanent Work Model:Hybrid Reference code:128442 Primary Location:Toronto, ON All Available Locations:Toronto, ON Our Purpose At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization. By living our Purpose, we will make an impact that matters. :Learn from deep subject matter experts through mentoring and on the job coaching :Be empowered to lead and have impact with clients, our communities and in the office. :Be expected to share your ideas and to make them a reality. :Be part of a firm that leads the way and pushes themselves to look like contemporary Canada. :Grow your network and your knowledge by joining one of our many Employee Resource Groups. :: What will your typical day look like? As a Data Scientist, you would take a hands:on role in delivering advisory services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders. You will be responsible for performing statistical modelling, computations, and data ETL to deliver best:of:breed analytical solutions for clients' business problems. You 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 also perform data analysis and communicate insights on client projects, and provide support in planning, data collection, and assist in pitches and proposal bids. About the team Deloittes Artificial Intelligence practice is comprised of specialized experts with hands:on 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: - Data analysis and modelling experience using Python. - Experience with one or more Cloud ML (AWS, GCP, Azure) or similar tools is an asset. - 3+ years relevant work experience with applying analytics or model development using data in a professional context. - Significant experience with statistical analytical techniques, data mining, linear programing / optimization, and predictive models. - Database and programming languages experience and data manipulation and integration skills using (one or more) SQL, Oracle, Hadoop, NoSQL Databases, or similar tools. - Experience with (one or more of) demand forecasting, inventory optimization, customer segmentation, retail analytics or marketing analytics. - Experience with natural language processing is an asset. - Significant experience with Machine Learning Project management experience is an asset. - Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective. - Enthusiasm for solving complex problems with a variety of analytical tools. - Professional services, consulting, or advisory experience is an asset. - Strong oral and written communication skills - Interest in continuing to develop analytical and business development skills. - Advanced degree (MA/MSc, equivalent or higher) in Applied Mathematics, Statistics, Computer Science, or related field is strongly preferred. - BA/BSc degree in these fields will be considered if coupled with significant industry experience demonstrating independent ability to tackle complex problems. Total Rewards The salary range for this position is 72,000 : ,000, and individuals may be eligible to participate