IFS - Clients and Markets - Emerging Tech AI Lead Manager

Job description / Role

Line of Service
Internal Firm Services

Specialism
IFS - Information Technology (IT)

Management Level
Manager

Job Description & Summary
A career in our Digital and Applications Design practice, within Application and Emerging Technology services, will provide you with a unique opportunity to help our clients identify and prioritise emerging technologies that can help solve their business problems. We help our clients design approaches to integrate new technologies, skills, and processes so they can get the most out of their technology investment and drive business results and innovation.

Our team helps organisations align their business and operational requirements through the careful design of digital platforms and applications. You'll help our clients with application optimisation, strategic integration of custom packaged solutions like Enterprise Resource Planning and Customer Relationship Management, and roadmap development.

As the Lead Data Scientist your responsibilities will include
- Lead an agile DevSecOps software team to create innovative applications.
- Lead a team in data-science and machine-learning efforts in support of PwC clients.
- Responsible for management, oversight and day-to-day tasks for the EmTech Labs.
- Oversee exploratory data analysis of sample data sets to advise the the EmTech Lab leads on the incorporation of AI into their labs and applications.
- Consult with UX designer and Creative lead on the incorporation of user-originated training data/metadata to support future machine learning projects.
- Analyze requirements, estimate production time, design solutions, code solutions, test solutions, and document work.
- Assist in the definition of application architecture.
- Mentor team of data scientists and provides algorithmic recommendations depending on the data set, acting as SME.
- Ensure adherence to best practices, management processes, and technical constraints.
- Design and conduct training on AI/ML, NPL techniques.
- Assist in the drafting of business cases, project plans, test reports, risk assessments, and other project specific documentation.
- Acts as client liaison in the development of application functional documentation, including technical specs document, technical data sheets, operational manuals, and training materials.
- Must be functional in a coach/player role.

Requirements

To be successful in this role, your background will include the following
- Bachelors degree in Mathematics, Computer Science or similar engineering discipline.
- Minimum 5+ years of relevant work experience in agile/scrum software development, data science settings with a focus on developing projects using AI/ML technologies, DevSecOps and cloud environments (e.g. Azure, Google Cloud, Digital Ocean).
- Strong experience with NoSQL, Relational, Multimodal and Graph databases.
- Strong experience with Machine Learning algorithms, techniques and tools.
- Strong system architecture and design experience to include deploying production enterprise applications in cloud environments that use AI/ML.
- Experience with Amazon Web Services deployments.
- Experience with scripting and programming languages in Python, R and Java.
- Experience in Design Thinking workshops and all related activities, designing solutions that balance user needs, commercial interests, and technological constraints, and including design strategy, service design, design research.
- Experience planning and executing customer design projects through holistic understanding of problem areas, iterative solution design, executive stakeholder management, and integration of business and technical experts.
- Experience conducting qualitative and quantitative research and synthesizing to provide insights, identify opportunities, and generate conceptual frameworks.
- Experience with opensource development tools (GitHub, GitLab, etc.).
- Experience coordinating activities to scope and schedule work and providing accurate work estimates for the deployment of new features.
- Experience disseminating tasks and reviewing work outputs of lower level data scientists.
- Ability to explain highly technical concepts to non-technical staff.
- Experience with Microsoft Office tools (Word, Excel, PowerPoint) to present concepts, ideas, and results to team members and clients.

Preferred Requirements
- Master's degree in Data Science.
- Architectural design, sequence diagrams.
- Data science and governance.
- Wireframe software tools.
- Software quality analysis.
- Experience with Jira, Confluence, Visio, MS DevOps, and MS Project.

About the Company

At PwC Middle East, we've set out an ambitious purpose and strive to live it everyday: to solve important problems and build trust in society.

We're a community of solvers that come together in unexpected ways to build trust and create sustained outcomes. We solve important problems, support one another as we grow, develop and build fulfilling careers.

PwC provides industry-focused services for public and private clients across Assurance and Audit, Deals, Consulting, Tax and Legal. We draw on our development legacy that brings together the collective experience of over 7,000 people in our region with offices across 12 countries to solve for tomorrow.

We're striving to consistently deliver innovative work that builds trust and delivers sustained outcomes. And we're proud of the strength that comes from all our different backgrounds and experiences and we value everyone's uniqueness. We thrive in uncertainty, operate with integrity and leverage the diverse perspectives of our teams.

If you're looking for a place that fuels your ambition to make a difference, that matches your curiosity with continuous learning opportunities and reimagines ways of working to enable you to lead a more balanced life, then you're a future PwCer.