Data Scientist - Toronto, Canada - KPMG-Canada

KPMG-Canada

Verified Company

Toronto, Canada

1 week ago

Posted by:

Sophia Lee

beBee Recruiter

Description

Overview

At KPMG, you'll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

Do work that matters, supported by a community that values difference and cares about you. Gain learning that'll last you a lifetime and be recognized for the impact you make.

With a focus on encouraging employees to come as they are, KPMG provides its employees with a variety of unique tools and support systems that ensure they thrive and make their mark in their career and in their communities.

Why KPMG Lighthouse?

KPMG Canada's Center of Excellence for Data & Analytics + Intelligent Automation applies exponential thinking and emerging technologies to solve today's challenges.

Join a diverse team that is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

We are comprised of a global network of over 12,500 experts including data scientists and engineers
Our teams build and deliver solutions that transform the business of our clients
Our regional hubs are in strategic markets and provide specialty services to local teams

KPMG Lighthouse Canada has an exciting opportunity for

Data Scientists (Intern/Co-op)

to join our team for 4-8 months starting in May 2023
**Please note that you must be enrolled in a Canadian post-secondary educational institution to be eligible for this opportunity.

**What you will do

Work with a group of data scientists, data engineers to solve interesting and challenging business problems using advanced data analytics, AI and ML solutions.
Utilize advanced analytical techniques to solve challenging business problems. Leverage a diverse set of technologies and tools to deliver insights.
Propose and develop results, models and rules engines using statistics, machine learning, Natural Language Processing, Linear Programming, etc.
Work with large volumes of data (structured and unstructured).
Perform quantitative analysis of data issues.
Work in teams or individuals to performance ETL/ELT (extract, transform and load) of data from a variety of databases, from SQL, NoSQL, Hadoop, Neo4j, etc.
Experience with large scale and or distributed processing methodologies such as Storm, Spark and many others.
Review data quality and definitions, and perform data cleansing and data management tasks.
Work with the engagement team to translate business and analytics requirements into a data strategy for the engagement including ETL, data model and staging data for analysis
Run queries for descriptive analytics and provide formatted result sets.
Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions.
Bridge the gap between technical platform needs and business issues.

**What you bring to the role

Strong experience in analytics, statistics, data mining, machine learning, natural language processing and/or mathematics.
Problem solving ability through the use and/or development of algorithms, models, testing, etc.
Effectively communicate orally and written with peers within Data & Analytics teams, KPMG and the client.
Experience working in teams to perform ETL/ELT (extract, transform and load) of data from a variety of databases from SQL, NoSQL, Hadoop, Neo4j, etc.
Independent ability to review the data quality and data definitions, and perform data cleansing and data management tasks
Experience working in a multidisciplinary team to tackle structured or unstructured data processing problems across a diverse range of industries
Strong ability to use Python and other packages such as Pandas and NumPy for data analysis and cleansing tasks
Some experience with visualization tools (Tableau, PowerBI, QlikView, etc.)
Basic understanding of Data Warehousing and Data Modeling.
Experience or knowledge in one major cloud service: AWS, MS Azure and GCP.

Keys to your success:

Ability to explain data and analytics concepts to nontechnical team members.
Ability to understand and explain business value of data and analytics concepts.
Knowledge of machine learning to collaborate with the team on ML projects
Experience in visual exploration to perform data discovery and highlight insights
Knowledge of how specific visual components drive usability and understanding
A knack at telling a story with purpose. Strong facilitation and collaboration abilities to conduct discussions and workshop with engineers and business analyst to advocate for positive user experience and recommend potential solutions to identified problems

To apply:

Applications close on January 17th, 2023 at 11:59 PM ET.

Hiring Manager and

KPMG individuals

Deliver Impact | Seek Growth | Inspire Trust and understand that a diverse workforce enables us to deepen relationships and strengthen our business.

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