WPP IT provides IT services for WPP, the world's largest communications services group. As a creative transformation company, WPP is helping its clients transform the future through extraordinary work. WPP IT is an integral part of that journey and we are proud to provide technology for some of the world's most creative brands.
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Why we're hiring:
The CTO team is accountable for defining and delivering the WPP Technology Strategy and enabling WPP to become a creative transformation business. Key components of the strategy are the creation and adoption across the business of a WPP wide technology platform (WPP Open), building the WPP Open Data Platform (a flexible and integrated data platform), acceleration of innovation particularly in the use and exploitation of AI, establishing global supplier partnerships, growing technical capability across the group, joint product development and sales growth with our strategic partners.
As a Senior Data Scientist, you'll use data to find patterns and help solve the problems faced by businesses in innovative and imaginative ways.
You'll extract, analyse and interpret large amounts of data from a range of sources, using algorithmic, data mining, artificial intelligence, machine learning and statistical tools, in order to make it accessible to our businesses. You will then present your results using clear and engaging language in a way that bridges the fundamentally theoretical aspects of these initiatives to the business needs. This includes translating between technical and nontechnical audiences, identifying the most important developments and opportunities in both research and the industry and building connections and partnerships across the global WPP network.
What you'll be doing:
Identify valuable data sources and automate collection processes
Build algorithms and design experiments to merge, manage, interrogate and extract data
Use machine learning tools and statistical techniques to produce solutions to problems
Test data mining models to select the most appropriate ones for use on a project
Undertake processing of structured and unstructured data
Analyse large amounts of information to discover trends and patterns
Build predictive models and machine-learning algorithms
Combine models through ensemble modelling
Present information using data visualization techniques
Propose solutions and strategies to business challenges
Collaborate and identify innovations across the global WPP network, identify technical challenges and opportunities.
Act as a technology consultant to accelerate local initiatives
Work closely with project management teams to successfully monitor progress of initiatives
Be a subject matter expert in our data science tools, technologies and processes.
Articulate best practices to our user community ensuring that they are working together in a uniform fashion.
Identify gaps that can be turned into opportunities for continuous improvement.
Work closely with our agencies to identify issues and use data to propose solutions for effective decision making
Maintain clear and coherent communication, both verbal and written, to understand data needs and report results
Create clear reports that tell compelling stories about how customers or clients work with our business
Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
Stay up to date with the latest technology, techniques and methods
Conduct research from which you'll develop prototypes and proof of concepts
Look for opportunities to use insights/datasets/code/models across other functions in the organisation
Be curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.
What you'll need:
Fluent in Python or R; familiarity with Scala, Java or C++ is an asset
Proven experience as a Data Scientist or Data Analyst
Working experience with Google Cloud Platform (GCP)
Experience in data mining
Understanding of machine-learning and operations research
Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
Analytical mind and business acumen
Fluent in SQL or SPARQL
A passion for data and its associated emerging trends and technologies
Exceptional analytical skills
Experience of working with structured datasets
A very good understanding of data processing technologies and platforms
Solid understanding of data management, metadata management, governance and privacy standards
Previous experience of working with metadata
Strong stakeholder management skills with the ability to engage with and influence people across all levels in the organisation
Exceptional communication and presentation skills
Degree educated in an appropriate subject
The ability to arbitrate and moderate when there are areas of conflict
Ability to plan and prioritise
Good troubleshooting skills coupled with the ability to understand root causes
Ability to self-learn
Good research skills
Strong mathematical skills (e.g. statistics, algebra)
Be able to focus on continuous improvement
The ability to make order out of chaos
Who you are:
You're open : We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.
You're optimistic : We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with confidence: to try the new and to seek the unexpected.
You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we deliver extraordinary every day.
What we'll give you:
Passionate, driven people – We champion a culture of people that do extraordinary work.
Scale and opportunity – We offer the opportunity to create, influence and deliver projects at a scale that is unparalleled in the industry.
Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?