Data Scientist, Data Trust Services

Line of Service

Assurance

Industry/Sector

FS X-Sector

Specialism

Risk

Management Level

Senior Manager

Job Description & Summary

About PwC

A career at PwC is more than “just” a job. It’s about being part of a purpose-led firm that builds trust in society and solve important problems. We help our clients to make informed decisions and operate effectively within them. At PwC, we are committed to making a difference for each other, our clients, and our community — by empowering you to be the best version of yourself and investing in your growth. You’ll be able to develop as a leader, be well-connected, work in a great environment, explore our benefits and make a positive contribution.

With PwC, you’ll ignite a meaningful career while being supported by a strong coaching and people-oriented culture, our Flex policies (Flex Space, Flex Dress and Flex Time), innovative learning and development programs (training programs, digital upscaling) as well as mobility opportunities. If you would like to be connected to like-minded individuals outside of work, we highly encourage you to be part of our people clubs and committees such as the Sports and Recreational Club, Toastmasters Club and more! #LI-DNI

The Data Trust Services (DTS) team works collaboratively with our clients to manage engagements and lead teams of data and analytics resources in all aspects of design and delivery of data and analytics solutions - including Analytics, Data Visualisation, and Data Management.

DTS is integrated across different PwC Lines of Services and assists clients to leverage data as an asset throughout its business processes. You'll enjoy working in multi-disciplinary teams and gaining valuable experience in various sectors and play a key role in ensuring high quality outputs and service to our clients.

How will you value add:
Using Data Science Methods and Artificial Intelligence to enhance innovation, profitability and growth of our clients in three dimensions:

(1) Business Innovation: Design and implement innovative, data-driven business models, identification, conception and assessment of industry and client specific Use Cases, Utilization of data-modeling and -analysis in every aspect of Sales, Marketing, Operations and Business-model innovation

(2) Big Data and Analytics: Extract new insights from various data sources leveraging sophisticated Machine Learning and AI solutions

(3) Digital Transformation: Define and implement corporate transformation as well as Strategy development towards a “Data-Driven Business” leveraging data science, AI, ML and digital technologies

Work with business and tech to develop end-to-end advanced analytics solutions, from problem formulation, data sourcing to developing and deploying the solution into production

Understand the business domain and relevant dataset

Provide end-to-end advanced solutions to design, develop and deploy to production system

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