Customer Analytics Data Scientist Senior Associate...

PwC

We combine passion and humanity with the latest technology. As our world continues to evolve, so do we. Having a responsive and bold technology strategy is key to remaining relevant with our clients. But we don't just invest in the latest technologies, we help to create them with our unique ecosystem of technologists, working together to solve complex business problems in ways that benefit clients and society. It's work with purpose and it drives us to innovate. We're at the forefront of change, driving technology and skills and investing in our people and our purpose.

About The Team

We deliver actionable, data-driven insights to help our clients better understand their customers and how to market to them. We combine unrivalled external and internal data sets to solve problems for clients across sectors such as retail, consumer goods, financial services and leisure & tourism. Our team of data scientists and industry experts use machine learning techniques and proprietary models to uncover the rich profile of customers' current and future behaviours to inform how clients can better serve and communicate with their customers.

The role

We are seeking candidates with strong data science experience to deliver projects in the customer and front office domain.

Duties And Responsibilities

• Propose data science problem solving approaches
• Co-create approaches to meet user needs with clients and colleagues
• Prototype, test and improve new data science models
• Work with colleagues to deploy your models, to document and present them to business users, and to retain ownership of them in production
• Provide guidance to peers and other team members
• Develop materials for assisting in client pitches
• Engage in thought leadership activities, and to contribute to the learning and development of colleagues
  
  

Skills & Experience

• Experience providing advanced analytics in a customer, retail & consumer, marketing or other front office context
• Professional record demonstrating business impact; domain experience in areas such as customer analytics, CRM, customer acquisition and retention, marketing effectiveness, consumer sentiment and retail businesses will be beneficial.
• Excellent communication and presentation skills, including the ability to explain and present the findings of technical work to non-expert audiences
• End to end project delivery
• Proven ability to handle multiple project commitments simultaneously
• Fluency with Python machine learning and data science packages (Scikit-learn, Apache Spark, DASK, Tensorflow, etc.)
• Strong technical expertise in data science, statistical modelling and/or machine learning
• Academic background in a relevant quantitative field, e.g. statistics, engineering, computer science, with an advanced degree (PhD / MSc) in one of these disciplines preferred.