Description

Senior Data Science Consultant (Manager) - Central Technology Team

Who we are

PwC’s Central Technology team (‘Tech Connect’) is responsible for identifying and deploying innovative AI use cases for PwC and its clients. We use machine learning and natural language processing to build data-driven solutions which solve important problems across our organisation.

We’re currently looking for senior Data Science Consultants with great problem solving skills who will serve clients, develop propositions and coach team members, to join us across our Manchester, Leeds, Birmingham, and London offices.

What we do

Below are some examples of projects data scientists in the team have worked on before.

• Develop natural language processing models to identify climate change disclosures in annual reports for a major regulatory body

• Identify and develop assets from new research (e.g. privacy preserving machine learning) in order to develop a new proposition for handling sensitive client data

• Research and develop machine learning assets for a voice analytics platform that analyses conversations in the Financial Services sector

• Create an algorithm to automate a core manual process (staff resourcing) that scales across 1000s of staff an entire line of service using optimisation

• Work with clients to use machine learning in identifying anomalous financial transactions, improving quality and reducing risks

The Role

• Lead the delivery of core data science assets (such as our SaaS platforms) in client facing settings

• Lead in developing viable data science engagements with key clients and lines of business to form & execute the next development of pipeline opportunities

• Managing the commercial aspects of data science delivery

• Be a role model while managing junior staff on project and product teams

Core experience

We are looking for applicants with the following skills & experience:

• Practical experience from industry and professional services in delivering significant and valuable advanced analytics projects and/or assets

• Experience in building models and/or the software development lifecycle

• Engagement of technical and senior stakeholders

• Coaching and managing junior staff

• Delivery of projects for high profile clients

• Understanding of requirements for software engineering and data governance in data science

We make extensive use of the following technologies in our team. We expect you to be fluent with using these tools and practices on a daily basis.

• Python for data science

• SQL for data processing

• Git for version control

• Azure / GCP for our cloud backend

Post source:jobs.theguardian.com

Posters Information:

Name:PWC

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