Advanced Analytics - Senior Manager

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.

As a Senior Manager at PwC, you will solve important problems, intelligently applying advanced analytics solutions to reshape our client's businesses. You'll help embed data and analytics in our Consulting approach and drive change through digital transformation.

Through leading teams of data specialists and building trusted relationships with business stakeholders, you'll create compelling business strategies advising the most senior members of some of the largest organisations in the UK and worldwide. You'll add value to our clients through identifying and delivering benefits which are sustainable. You lead small teams or large transformational programmes, working closely with some of the top minds in their field and supporting the development of other analytics specialists learning their craft.

Key responsibilities

• Taking a lead role in designing and scoping interesting data programmes to address complex client problems from strategy to execution;

• A senior manager will lead multiple workstreams or projects with multi-disciplinary teams of data specialists, strategists, experience consultants and technology gurus. Inspiring them to deliver great client outcomes through complex strategy-led and technology-led transformation programmes;

• Building and maintaining deep and long-lasting relationships with senior stakeholders;

• Develop new business and revenue streams through embedding advanced data and analytics use cases in wider business transformation propositions, supporting market development activities;

• Contribute to internal innovation for data and digital assets: visioning and leading new, creative ideas and concepts through to fruition for PwC to reuse and commercialise in the market.

• Intellectual curiosity - keeping up to date with the fast pace of change of data methodologies and technologies

• Being a "data influencer" - leading on data thought leadership with colleagues across the firm, bringing an awareness of the latest techniques and technologies;

• Caring passionately about the progression of the team working with and reporting to you: developing their technical competence and shaping their career paths; and

• Overseeing and being accountable for the performance of new and existing projects, programmes, contributing to sales activities, staffing, quality, risk and commercial management.

​Requirements

As an experienced data scientist you will have a proven track record of developing advanced analytics use cases, data monetisation models, or data products used to serve internal process improvement, customer experience improvements or new value creation..

You will be able to demonstrate the ability to manage large, cross functional project teams and inspire others to solve problems, under pressure, end-to-end with data.

Essential requirements for this role:

• 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 significant practical project experience (professional, academic or personal) in using applied analytics to solve business problems, able to demonstrate the following skills:

  • Full lifecycle experience of scoping, managing and delivering predictive/optimisation or simulation analytics - leading teams of data scientists, data visualisation developers, data engineers and data architects to execute analytics pilots and create solutions which drive value;

  • Strong commercial awareness through a deep understanding of business issues in specific sector, wider market trends and ability to clearly articulate the return on investment and benefits analytics can bring to client stakeholders;

  • Experience leading the transition from the strategic phase of analytics projects into delivery, including overall programme/project management of the delivery of analytics roadmaps, helping clients move from concept to reality; and

  • A track record of delivering quality engagements for clients whilst establishing and growing productive partnerships with internal or external clients.

Technical skills required:

• Strong knowledge of one or more data science or decision science domains (e.g. [un)]supervised learning, explainable artificial intelligence, deep learning, Natural Language Processing, time series forecasting, optimization and/or simulation);

• Fluency in one of Python, R, Go, SQL, or related;

• Practical knowledge of core data modelling, manipulation and visualisation skills, for example using tools such as Excel, Alteryx or SQL, PowerBI/Tableau/Qlik or Python; and

• Demonstrable experience working with truly big data.

Subject matter expertise:

Proven experience in applying data science tools and techniques in at least two of the following areas:

• Operational performance management;

• Demand and capacity planning;

• Pricing strategies;

• Financial risk analysis;

• Supply chain;

• Business case modelling/strategic planning;

• Process simulation and optimisation; and/or

• Artificial Intelligence (AI).

"Nice to have" skills for this role:

• Experience working with cloud platforms or accreditation (Azure, AWS, GCP);

• Experience of working with big data technologies such as Hadoop, Presto, Redshift, Spark or similar;

• DevOps experience in areas such as Git and Agile development methods;

• Experience with AI techniques such as NLP or Neural Networks;

• Experience with deep learning tools such as Keras, TensorFlow, PyTorch, MXNet is a plus; and

• Experience working with clients to develop data strategies for business transformation, such as the adoption of advanced analytics and modelling capabilities, or the shift to cloud native 3rd party solutions.

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.