Description

At PwC, we measure success by our ability to create the value that our clients and our people are looking for. Our reputation lies in building lasting relationships with our clients and a focus on delivering value in all we do. We’re a network of firms in 158 countries with more than 236,000 people who are committed to delivering world-class capabilities and quality in assurance, tax and advisory services.

Established in the region for 40 years, PwC Middle East employs over 4,200 people across 12 countries. Complementing our depth of industry expertise and breadth of skills is our sound knowledge of local business environments across the Middle East region. Our tailored solutions help our clients meet the challenges and opportunities of doing business in the Middle East market and beyond.

Line of Service

Advisory

Industry/Sector

Technology

Specialism

Advisory - Other

Management Level

Administrative

Job 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.

Skills

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

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Additional Application Instructions

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 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?

No

Government Clearance Required?

No

Job Posting End Date

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