QC - 2021 Customer Operations Graduate Leadership Program, BI Data Science & Developer Program

Sep 30, 2020
Competitive
Montreal, Quebec
Entry Level

At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we’re revolutionizing how Canadians communicate.
 

If you’re ready to bring game-changing ideas to life and join a community that values bold ideas, professional growth and employee wellness, we want you on the Bell team. 
 

Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

Big data is a big deal. 
If you are passionate about transforming data into business value, this fast-growing, innovative field is where you want to be. 

Bell’s Business Intelligence team collaborates with partners across the organization and provides strategic guidance supported with data. We work with the latest and greatest BI technologies like SAS, Hadoop, and Python to leverage big data and artificial intelligence to create intellectual property.

Our mandate is to provide actionable insights and enable Bell to use machine learning to drive business decisions and create solutions that directly enhance our products and services.

This is a terrific opportunity for recent graduates or graduating students to help transform the organization in driving one of the most significant strategic mandates within Bell. As part of this team, you will have opportunities to work with new technologies, build project management skills and discover meaningful insights that will ultimately impact millions of customers.

How the program works:
Over the course of 12 months, the BI Data Science + Developer Program allows you the opportunity to enhance your professional skills and expand your knowledge of BI and new technologies through training opportunities, while working on exciting projects that include marketing optimization, fraud detection, and AI/Machine Learning.

You will spend the first 2 months on the front lines gaining a 360° view of the customer experience while working on a special project to put your learnings towards improving the customer experience.

From there, you will be assigned a permanent role in one of the following areas in BI based on your skills and interests: 

  • Data Engineering 
  • Software Development
  • AI and Machine Learning

Key Responsibilities:

  • Leverage sophisticated analytical techniques including predictive modeling, text mining, forecasting, neural networks, segmentation and other data mining methods
  • Explore large, new sources of data; communicate and present insight opportunities to business teams across the organization to influence decision making
  • Translate business requirements into design, implementation and documentation of efficient BI processes
  • Take part in defining and improving the overall architecture to create effective enterprise-level data solutions 

Required Competencies:

  • You are a in your final year of your undergraduate degree or are a recent graduate with a Masters degree in: 
    • mathematics / statistics,
    • computer science / engineering,
    • software engineering
    • or a related area
  • Data engineering focus:
    • Experience with programming languages such as Java, Scala, Python, C++
    • Exposure to development tools such as version control systems and IDEs
    • Proficiency working in Linux/Unix environment (eg. command line tools, shell scripting)
    • Knowledge of distributed computing frameworks and tools (eg. Hadoop, Spark, HDFS, MapReduce, Hive)
  • Development and production focus:
    • Experience with the design, development and maintenance of ETL processes, data marts, operational data stores and online analytical processing (OLAP)
    • Exposure to data warehouse technologies such as SQL Server, Teradata, SAS or others
    • Knowledge of data modeling and architecture (Normalized and multidimensional)
  • Machine learning focus:
    • Knowledge of ML Algorithms including supervised and unsupervised learning, deep learning modules, and text analytics
    • Experience with ML frameworks such as Spark ML, TensorFlow, Scikit-learn, H2O, etc. 
    • Highly driven to learn about the newest machine learning techniques and to apply them to solve business problems 
    • Exposure to big data tools and technologies such as Hadoop, Hive, Spark
    • Experience with relational data warehouse and fluent in SQL
    • Exposure to development tools such as version control systems and IDEs
  • Experience in telecommunications is a plus
  • You can work with a team as well as with business partners, to inform, influence, support and execute on decisions and strategies
  • You have the ability to communicate quantitative results to a variety of audiences
  • You are able to manage multiple projects and priorities
  • Bilingualism (English and French) is an asset in Ontario and a requirement in Quebec 

What our new grad leaders have to say:

“We work in a fast-paced environment, which allows us to learn about many unique parts of the business in short periods of time. I have the ability and freedom to continually leverage my ideas and research to help solve business problems.”

“To me, the best thing about working for Bell is the amazing people. I am surrounded by a very supportive team and, on a daily basis, I collaborate with highly talented individuals throughout the company to solve complex business problems.” 

Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec. 

Additional Information:

Position Type: Management 
Job Status: Grad Hire 
Job Location: Canada : Quebec : Montreal 
Application Deadline: 09/30/2020 

Please apply directly online to be considered for this role.  Applications through email will not be accepted

At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

 

How to Apply