Ai2 Data Science
3 months ago
**Role Type**:
Undergraduate
**Work Term**:
**Work Location**:
Canada
**Hours**:
37.5
**Pay Details**:
**DEPARTMENT OVERVIEW**
Our Associate Programs offer new graduates the opportunity to work in one of TD's many lines of business, and the chance to work on challenging projects and assignments, alongside experienced colleagues, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.
**Associate Role Profile**:1-year in-depth experience, complemented by programming, coaching, tools and support.
HR Data, Analytics and Reporting (HR DAR) works with the HR business partners and Centres of Excellence (CoE) to deliver insightful reporting and advice-based analytics to enable better people decisions. Our mission is to be trusted partners in delivering data driven insights and advice that help TD grow its business, realize efficiencies and drive legendary. HR DAR works with the policy owners/centres of excellence (CoE) to enable HR strategies, partnering with Enterprise Applications to deliver people analytics to global HR, people managers and employees. HR DAR helps deliver legendary employee experiences by building, supporting and integrating platforms spanning core HR; talent management, learning and performance; case management and tools to access the HR service model; data and analytics and total rewards. The team is focused on digitizing and automating processes, increasing the effectiveness of self-serve options and growing data management capabilities.
**JOB DESCRIPTION**
The **Analytics, Insights & Artificial Intelligence (AI2) Associate Program **is a 1-year enhanced development opportunity in analytics and data. The **Data Science and Advanced Analytics Associate **will perform a variety of activities, which may include:
- Collaborate with business partners to identify opportunities for process optimization and informed decision-making and build innovative solutions.
- Work with structured and unstructured data and prepare data sets for machine learning through integration, cleaning, feature engineering, scaling and transforming data
- Build production-scale solutions and work with deployment teams to integrate in business operations
- Leverage visualization methods to represent results and communicate outcomes to technical and non-technical audiences
**JOB REQUIREMENTS**
- Must be graduated between May 2023 and May 2025 with an **Undergraduate degree **in Mathematics, Statistics, Computer Science, Engineering, and/or Data Analytics or related.
- Strong statistical and analytical skills as well as a passion for analytics are necessary.
- Experience with analyzing large data sets, drawing insights and inferences, and communicating outputs.
- Experienced in one or more of:
- Big Data - Programming, Data/Text Mining, Optimization, Algorithm Development, Automation, Data Visualization, Simulation
- Machine Learning - Predictive Analytics, Regression, Logit Modeling, Discrete Choice, Propensity Modeling, Natural Language Processing.
- Strong technical knowledge and experience with one or more of: R, Python, Spark, SQL, SAS, Java, or C/C++
- Technical knowledge or experience with Hadoop and Cloud environments as well as experience with Data Management, and Project Management are a plus.
- Must have strong leadership qualities including demonstrating initiative, establishing priorities and using strong communication, analytical and problem-solving skills to add value to each initiative, project or team assigned to.
- Remain current with emerging trends and technologies in Data Science
**ADDITIONAL INFORMATION**
- **Application Deadline**:September 30th, 2024
- **Anticipated Start Date**:July 7th, 2025 (pending academic completion)
- Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
- TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
**HOURS**
Monday-Friday, standard business hours.
**INCLUSIVENESS**
At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.
**Who We Are**
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank,
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