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Customer Analytics Data Scientist - Manager

Posted: 18 Nov 2020 Closes: 18 Dec 2020
London, London Region UK Competitive
Permanent & Full-time 1627072863

Job description

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 advanced analytics experience to lead execution of projects in the customer and marketing analytics domain.


Duties & Responsibilities

  • Work with designers and client stakeholders to interpret the client's needs
  • Design the advanced analytics approach
  • Lead the project team technically and take responsibility for the design of the solution and the approach to refining the solution
  • Own the data science solution in production
  • Coordinate communication with the client
  • Develop materials for new propositions and sales pitches

Skills and Experience

  • Significant data science experience in a customer, retail & consumer, marketing or other front office context
  • Track record of professional achievements to include leading teams of data scientists and analysts in project work
  • Proven record of delivering business impact in an area such as customer analytics, customer acquisition and retention, pricing, marketing effectiveness, or strategic retail insights
  • Strategic and analytical skills; able to define and perform each element of an advanced analytics project to meet the client's needs
  • Deep technical expertise in data science, statistical modelling and/or machine learning
  • Experience leading others to build their technical skills and skills as a consultant
  • Fluency with Python machine learning and data science packages (Scikit-learn, Apache Spark, DASK, Tensorflow, etc.), and experience of releasing and owning your models in production
  • 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.
Risk Assurance

We're a leading provider of trust in the digital world - in the eyes of our people, our clients and our stakeholders. Today's business environment is different. More complex. More connected. Companies not only face new and unknown risks, but also new and untapped opportunities. Our team is at the forefront of this change, join us to be a part of transforming how risk is perceived and capitalised on.
Not the role for you?

Did you know PwC offer flexible contract arrangements as well as contingent work (ie temporary or day rate contracting)?
The skills we look for in future employees

All our people need to demonstrate the skills and behaviours that support us in delivering our business strategy. This is important to the work we do for our business, and our clients. These skills and behaviours make up our global leadership framework, 'The PwC Professional' and are made up of five core attributes; whole leadership, technical capabilities, business acumen, global acumen and relationships.

Learn more here: www.pwc.com/uk/careers/experienced/apply
Diversity

Valuing Difference. Driving Inclusion.

We work in a changing world which offers great opportunities for people with diverse backgrounds and experiences. We seek to attract and employ the best people from the widest talent pool because creating value through diversity is what makes us strong as a business, enabling us to solve important problems and deliver value to our clients. We encourage an inclusive culture where people can be themselves, are valued for their strengths and are empowered to be the best they can be. As an organisation with an increasingly agile workforce, we also support different ways of working offering flexible working arrangements. Learn more here about our work to support an inclusive culture.

www.pwc.com/uk/diversity

PwC

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