Consulting - Data & Analytics Director - Insurance Analytics

PwC

Job information

Firm: PwC

Location: London

Education: Postgraduate degree

Benefits: Competive

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Who we are looking for

The use of data is becoming more and more important to our clients. To meet this growing demand, we are significantly investing in our practice to offer a wide range of data-related services, from data strategy and architecture, through to data management, business intelligence, advanced analytics and machine learning and AI. We are currently looking for experienced data practitioners to join our fast growing Data & Analytics Consulting team. We have ambitious plans and are looking for individuals who can develop and build our go-to-market propositions and excel in client delivery.

About the role

PwC’s strength is our ability to work with our clients on the key issues that impact their business and utilise industry leading data analysis techniques and approaches as part of excellence in client delivery.

We are looking for motivated, enthusiastic individuals to join our insurance analytics consulting team. People with the right blend of hands-on data experience, an eye for innovation to help us build client offerings and an understanding of the markets in which we work.

Our vision for Consulting Analytics aligns with our Firm’s goal of being a pre-eminent management consulting firm. As trusted advisors to senior level executives, we seek to assist them in maximising value from their data assets to reduce risk, improve efficiency, ensure compliance and identify and develop new business opportunities.

Your Main Responsibilities

  • Managing projects including project delivery, budget and risk
  • Actively contributing on client-facing project work, being self-starting and motivated to produce the required high standard of deliverables
  • Developing and owning PwC propositions and delivery methodologies
  • Building and maintaining relationships both internally within the PwC network and externally with clients
  • Supporting sales through work on bids, proposal responses and developing opportunities

About You

  • Experience of the UK Financial Services industry – ideally in Insurance
  • Understanding of the Insurance Business Value Chain
  • Experience in building Artificial Intelligence and Machine learning models e.g. Natural Language Processing (NLP), Natural Language Generation (NLG), Deep Learning (Voice and Image recognition), Geospatial Prediction, Multi-layer Perception and other Neural Networks.
  • Artificial Intelligence / Voice Technology experience e.g. IBM Watson, Amazon Echo, Google Home, Microsoft Cortana, Apple Siri.
  • Experience in multiple tools/language/frameworks within the Big Data (Hadoop, Spark, Hive, MongoDB, Neo4j, Hbase, Cassandra)
  • Understanding of Artificial Intelligence and Cloud Platforms (e.g. Azure / IBM / Google / AWS)
  • Advanced data analytics, building models in Python, R, SAS programming languages and libraries
  • Data analytics and visualisation products such as D3, Power BI, Qlikview, Tableau
  • Strong SQL and data manipulation skills
  • Data quality and data cleansing techniques
  • Understanding and experience of the principles of data strategy and architecture

You will also need to have

  • Track record of managing data project delivery and project teams including ability to meet deadlines, overcome challenges, manage stakeholder expectations and produce project deliverables
  • Ability to develop new ideas into structured, deliverable proposals and projects
  • Ability to identify and address client needs, develop and maintain meaningful client relationships
  • Strong analytical and problem solving capabilities
  • Strong stakeholder management and interpersonal skills
  • Excellent presentation and report writing skills

Desirable Skills

  • Understanding of statistical analytics methods and the ability to apply these in the appropriate circumstances
  • Consulting experience
  • Data modelling and/or data architecture experience
  • Knowledge of database and ETL technologies
  • Experience of business analysis tasks and approaches

Desirable qualifications

  • A technical background in Mathematics, Computer Science, Data Analytics or similar
  • SAS / SQL certified practitioner qualification

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 www.pwc.com/uk/careers/experienced/apply

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 www.pwc.com/uk/diversity

Job information

Firm: PwC

Location: London

Education: Postgraduate degree

Benefits: Competive

Apply

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