- CIBC Data Studio
- Job Function
- Research & Development
- Job Type
- Full time
- Company Size
- Enterprise (500+)
What You’ll Be Doing
The CIBC Data Studio team is a innovation hub of data science within CIBC, and is leading the way in applying the best practices in machine learning, AI, and the latest in advanced analytics technology platforms. As a Data Scientist you will apply your knowledge and experience of data modelling to solve challenging business problems and bringing innovative solutions. You’ll interact with groups across the organization from client facing to operational, risk and capital markets. You’ll work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment. We collaborate with the most exciting new companies in the space of AI and machine learning, and engage in collaborations with leading academic researchers to promote the exchange of ideas and enrich our talent.
How You’ll Succeed
Data Science Expertise: Conduct early stage prototyping and model developement, typically using non-traditional resources to solve business problems. Conduct detailed analysis of data sets, incorporating machine learning and statistical methods and models. Provide advanced analytics using various advanced analytical techniques including statistical modeling (including model programming and coding), predictive modeling and machine-learning
Business Consulting: Participate in gathering and analysis of relevant information related to business processes, functions and operations to evaluate data credibility. Utilize creative thinking to modify or select the most suitable procedure/approach that results in providing CIBC operations with optimum solutions to business and technology issues/challenges. Perform in-depth analysis of research information for the purpose of identifying opportunities, developing proposals and recommendations for use by management. Make recommendations and create presentations on new ways to use data to help solve business problems
Market Relevancy: Participate in an analytics community whose goal is to foster and share analytic approaches across the enterprise. Liaise with internal and external sources, colleagues, and others to obtain, provide, verify and discuss information and best practices. Passionate innovators, creators, collaborators, and leaders who are up for the challenge of building the bank of the future and delivering solutions that meet our clients’ changing needs
Who You Are
You can demonstrate experience in working with large datasets including both structured and unstructured data and related tools (e.g., SQL, NoSQL, REST API). Must have experience coding in high level programming languages such as Python or R. Must have experience coding with data modelling packages such as Pandas, Scikit-Learn
You’re a certified professional. You have current accreditation and good standing in M.S. or PhD in Computer Science, Engineering, Mathematics, Statistics, Physics or related quantitative field.
You're digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it's the right thing to do.
You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
What CIBC Offers
At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:
Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity