Consulting - Digital & Cyber - Digital Solutions & Engineering - Manager
Listed on 2026-05-16
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IT/Tech
AI Engineer, Data Science Manager
How You’ll Contribute
As part of the Data & Cloud Solution, you’ll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. Responsibilities include but are not limited to:
- Project Management:
Lead the execution of data and cloud projects, ensuring scope, timelines, and quality benchmarks are met. - Solution Design:
Support the development of cloud-native architectures and analytics platforms tailored to client needs. - People and Delivery:
Mentor team members and coordinate with clients to deliver consistent, data-driven outcomes.
- 8+ years of experience in software engineering, including 4+ years in a leadership or management role, driving delivery of complex AI and data-driven projects.
- Proven track record in leading AI/ML engineering teams, overseeing end-to-end solution design, development, and deployment within agile, multidisciplinary environments.
- Strong understanding of AI/ML technologies and architectures, with the ability to apply them to real-world business challenges across industries such as financial services, retail, and technology.
- Proficiency in programming languages such as Python and SQL, and familiarity with cloud-based analytics platforms (e.g., Microsoft Azure, Google Cloud Platform, AWS) and modern MLOps practices.
- Experience with agentic frameworks such as Auto Gen, Lang Graph, CrewAI, Agents SDK etc.
- Skilled in selecting algorithms and training classical ML or deep learning models.
- Confident in client-facing settings, with the ability to understand business needs, frame opportunities, and translate them into effective, scalable technology solutions.
- Demonstrated leadership and team-building capability, fostering collaboration, growth, and delivery excellence in diverse, cross-functional teams.
- Genuine passion for AI/ML innovation, with fluency in collaborating with Data Scientists, ML Engineers, and Solution Architects to deliver impactful outcomes.
- Drive client transformation by shaping and delivering AI-powered digital solutions that address strategic priorities, enhance performance, and unlock new sources of value.
- Lead and guide teams in exploring complex, high-volume data sets from some of the world’s largest organizations to solve real-world business challenges.
- Design and develop scalable prototypes and accelerators, applying software engineering best practices and object-oriented programming principles to ensure robustness, performance, and reusability.
- Advance PwC’s internal AI and data science toolkits, developing highly optimized code and reusable components to accelerate client delivery.
- Contribute to business development through client proposal materials, thought leadership, and participation in PwC’s ecosystem of innovation.
- Mentor and upskill colleagues, contributing to the continuous learning culture of the firm and promoting excellence in technical delivery, storytelling, and problem‑solving.
- Continuously evolve your capabilities through access to PwC’s global learning and development programs in AI, engineering, and leadership.
- Excellent English communication skills, with the ability to engage effectively with stakeholders across technical and business domains.
At PwC Middle East, you’ll find more than just a job – you’ll build a meaningful career, supported by rewards and benefits that help you thrive. We offer competitive pay, comprehensive benefits, and programs that promote well‑being, balance, and personal growth. You’ll have access to continuous learning, digital upskilling, and a collaborative environment that values innovation, mentorship, and diversity. Are you ready to make a difference?
Want to unlock new value by applying your unique perspective and talents? You can grow exponentially here. Discover more about Life at PwC Middle East.
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