Line of Service
Job Description & Summary
A career in our Analytics practice will provide you with the opportunity to combine consulting and industry expertise with data science capabilities. We use descriptive and predictive analytical techniques to incorporate client, third-party, and proprietary data to help answer questions and design solutions to our clients most pressing business issues.
To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be an authentic and inclusive leader, at all grades/levels and in all lines of service. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. Responsibilities include:
Pursue opportunities to develop existing and new skills outside of comfort zone.
Act to resolve issues which prevent effective team working, even during times of change and uncertainty.
Coach others and encourage them to take ownership of their development.
Analyse complex ideas or proposals and build a range of meaningful recommendations.
Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.
Address sub-standard work or work that does not meet firm's/client's expectations.
Develop a perspective on key global trends, including globalisation, and how they impact the firm and our clients.
Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.
Focus on building trusted relationships.
Uphold the firm's code of ethics and business conduct.
Manager (Data Scientist)
Our Data Scientists are client-facing with the ability to understand complex business problems, and how to solve those problems by leveraging analytics applied on client and 3 rd party data. The Data Scientist’s job is to also make the solution “real”, by integrating it into business processes. Finding in those process points for automation of decisions and process through Artificial Intelligence.
The core consulting actions this role helps drive include:
Collaborating and contributing as a team member: understanding personal and team roles; contributing to a positive working environment by building solid relationships with team members; proactively seeking guidance, clarification and feedback.
Identifying and addressing client needs: building solid relationships with clients; approaching clients in an organized manner; delivering clear requests for information; demonstrating flexibility in prioritizing and completing tasks; communicating potential conflicts to a senior team member.
Prioritizing and handling multiple tasks; researching and analyzing pertinent client, industry, and technical matters; utilizing problem-solving skills; and, communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment.
Collaborating with peers who assist with this work.
Ability to help others think critically and share complex technical solutions to non-technical audiences both orally and in writing; Proven strong consensus building abilities; Proven skills to work effectively across internal functional areas in ambiguous situations.
The core data science and research action this role drives include:
Understanding client data in the context of a client engagement objective (e.g. find process efficiency, increase marketing effectiveness, predict operational volume, automation manual processes and decision points)
Designing solution leveraging cloud and existing enterprise architecture (e.g. leverage AWS, Microsoft, and other major cloud capabilities) within the constraints of client architecture
Internal research to drive Intellectual Property in key areas of focus for the analytics organization
Collaborate with our major partnerships (i.e .with AI research centres across Canada) on research and client problem solving
Technical leadership on key analytic platforms on Google and Microsoft
Collaborate with cross-functional internal and client teams .
An interest in upskilling for a digital world and technology trends, an openness to learning new tools and adapting how you work.
Ph.D. or MS in Computer Science, Electrical Engineering, Statistics, Applied Math, Behavioral Science or related topics with at least 5-7 years of research or related work experience
3+ years of Python programming experience
3+ years of experience with SQL language and datastores (MS SQL, PostGres, MySql, Oracle)
Strong experience cleaning, transforming and visualizing large data sets working with various data formats
2+ years of experience with common machine Learning libraries in Python, Spark, and Deep Learning/AI frameworks
Well-rounded knowledge of AWS, Google Cloud or MS Azure
Knowledge of Data tools and ecosystem (e.g., Hive, Sqoop, Spark, Kafka)
Previous experience managing project teams
Previous consulting or professional services experience would be an asset .
Why you’ll love working for PwC
We want you to love every (if not, almost every) minute of your career, having said this, we get it. Each life stage we go through comes with a new set of priorities and demands. This is why we support you through a range of financial and non-financial rewards and benefits, so regardless of your situation, there’s something for everyone.
Leading benefits for our permanent staff include:
A competitive compensation package
Sponsored investments, pensions and saving plans with matching firm contributions
PwC FlexBenefits, for personalised medical & dental coverage, including enhanced mental health benefit
Every day recognition and real time appreciation through our rewards and recognition program
Dress for your day with our flexible dress environment
Health, wellness and fitness perks
Family-friendly benefits, including maternity and parental leave policies and support networks to help you prepare for your successful return to work
Back-up child and elder care support
Career defining project work and international experience
Development opportunities including learning on the job, formal learning, learning from others and access to “Vantage” our digital learning system
Award winning programs including “Women in Leadership” and “Enhanced Pursuit Program”
A coach to help develop skills, diversify experiences and achieve career aspirations
See how you can create your future at PwC: https://pwc.to/2kUQFOp
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Desired Languages (If blank, desired languages not specified)
Up to 40%
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
PwC is committed to building a diverse workforce representative of the communities we serve. We encourage and are pleased to consider all qualified candidates, without regard to race, colour, citizenship, religion, sex, marital / family status, sexual orientation, gender identity, aboriginal status, age, disability or persons who may require an accommodation, to apply.