ETIC, Data Science Manager
PwC is hiring an ETIC, Data Science Manager in Cairo, Egypt. Level rates it ; you can apply on PwC.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- The posting mentions visa sponsorship.
- The posting mentions data science, machine learning and predictive modeling among its tools and skills.
- PwC has 3,700+ other open roles on Level.
AI in this role
Data Science Manager at PwC responsible for leading advanced analytics, machine learning modeling, and data solutions for clients.
Line of Service
AdvisoryIndustry/Sector
TechnologySpecialism
Advisory - OtherManagement Level
AdministrativeJob Description & Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
In our changing world, you are expected to deliver high-quality work that enables your teams and/or clients. You create a positive working environment, and build relationships quickly and easily. You are curious, anticipate and address the needs of others, and look to fully understand each task before assisting in the most appropriate way. You are organised, and work collaboratively and efficiently, staying energised even when faced with challenges or ambiguity.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Apply a learning mindset, take ownership of your development, and share and adopt best practices to continuously upskill yourself and others.
- Conduct yourself in a professional manner and take responsibility for your work and commitments.
- Actively listen, check your understanding, interpret and respond appropriately.
- Tailor your communication style and method based on your audience.
- Organise and prioritise information and tasks to achieve efficient and effective outcomes.
- Suggest new ideas or solutions when problems and/or opportunities arise.
- Adapt to meet the changing needs, processes and assignments of your teams and/or clients.
- Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.
Minimum years experience required
- Add here AND change text color to black or remove bullet and section title if not applicable
Additional application instructions
- Add here AND change text color to black or remove bullet and section title if not applicable
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)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Artificial Intelligence, Big Data, C++ Programming Language, Communication, Complex Data Analysis, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Machine Learning {+ 12 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
0%Available for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
How we rate this
ETIC, Data Science Manager at PwC rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where predictive modeling was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: Data Science, Machine learning, Predictive Modeling, and Data Analysis. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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