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Data Scientist - Perform Plus - Senior Associate

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PWC

2021-12-03 07:36:54

Job location London, Greater London, United Kingdom

Job type: fulltime

Job industry: Accounting

Job description

PwC is one of the world's leading professional services organisations and a trusted adviser to some of the largest organisations around the world, spanning the public, private, and financial sectors. The increasing availability and use of data requires all of these organisations to adapt quickly or face irrelevance. As part of our data strategy we are transforming and expanding our D&A team and are looking for keen, innovative, driven data scientist to join us as part of this exciting opportunity
PwC's Data & Analytics is a well established team of data strategists, architects, scientists, and engineers who help client teams harness the power of information to drive insight, optimise business performance and commercialise data opportunities.

Consulting

In Consulting we deliver practical, far-sighted advice that gets straight to the heart of clients' business issues and delivers amazing results by helping our clients improve the way they operate, reduce costs, manage risks, leverage talent or fundamentally change the way they do business, the work you do will be all about helping organisations of all shapes and sizes work smarter and grow faster. You could find yourself working with household names in a diverse range of industries - everyone from big-name broadcasters and high-street banks to multinational telecoms operators and energy companies.


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


Diversity

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, as well as those who reflect the diverse nature of our society. And we aim to encourage a culture where people can be themselves and be valued for their strengths. Creating value through diversity is what makes us strong as a business and as an organisation with an increasingly agile workforce, we're open to flexible working arrangements where appropriate.

Learn more here

We are seeking a Data Scientist to join the Perform Plus and Digital Centre of Excellence team, part of PwC Consulting. Your role will initially be focused on developing data insights in Perform Plus - PwC's award winning operational excellence approach powered by smart technology and data. Perform Plus is a team sprint/huddle solution that allows clients teams and individuals to improve their performance, change behaviours and manage challenges in their work. You will also get involved in the development of a new Digital Centre of Excellence to help develop a next generation of PwC Consulting products, that use modern data science, engineering and technology approaches.

As a Data Scientist you will have a proven track record of thinking through complex problems, and applying machine learning, data analytics and statistical approaches to innovatively solve them. You are expected to have a broad understanding of the variety of modern techniques and tools, including - optionally - taking machine learning to production on cloud and specialist knowledge in particular data science subdomains.

You will be a strong communicator and have practiced consultancy skills, able not just to design and build innovative insights, but communicate the value of these insights effectively, gaining traction from client and internal stakeholders.

You will also be able to demonstrate the ability to work with others and inspire others to solve problems.

Requirements

  • Educated to degree level BSc/MSc/PHD in - for example - Mathematics, Statistics, Operational research, Engineering or other STEM;

  • A strong team player with empathy, humility and dedication to joint success and shared development;

  • Candidates must have demonstrable practical project experience (professional, academic or personal) in using computational statistics (probability distributions, hypothesis testing, regression etc) to solve business problems, able to demonstrate the following skills:

    • Able to articulate complex data concepts to both technical and non-technical audiences including "storytelling" through data visualisation;

    • Delivery of proof of concept or operational solutions through the entire lifecycle from data sourcing to results. This includes assessing modelling needs based on proposals and recommend the best advanced analytics tools and methods to support them;

    • The intellectual curiosity and drive to seek out, learn, and then apply new data science techniques in a fast paced environment with scepticism and attention to detail regarding data quality and analytical outputs;

    • Exceptional analytical ability and able to solve unstructured problems involving large amounts of data with a structured and hypothesis driven approach;

    • Show experience in owning client relationships and managing them throughout the engagement lifecycle;

    • Commercially curious: we want you to be able to understand a business area and its strategic outcomes, the business processes and metrics that drive performance

Technical skills required:

  • Strong experience of machine learning techniques and algorithms or decision science domains to deliver insights;

  • [Optional] Deep experience in certain subdomains (e.g. NLP, Tensorflow etc);

  • Strong experience of core data modelling, manipulation and visualisation skills - for example using SQL, PowerBI/Tableau/Qlik and Python;

  • Proven programming experience in Python, R, Go, SQL and similar;

  • [Optional] Experience developing data science solutions for production on cloud.


Consulting
In Consulting we deliver practical, far-sighted advice that gets straight to the heart of clients' business issues and delivers amazing results by helping our clients improve the way they operate, reduce costs, manage risks, leverage talent or fundamentally change the way they do business, the work you do will be all about helping organisations of all shapes and sizes work smarter and grow faster. You could find yourself working with household names in a diverse range of industries - everyone from big-name broadcasters and high-street banks to multinational telecoms operators and energy companies.

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:

The Deal
We want all of our people to feel empowered to be the best that they can be, which is why we have 'The Deal'.
Find out more about our firmwide Employee Value Proposition:

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.

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