Data Scientist London, United Kingdom

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. WPP Media is WPP's global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth.

About Choreograph: A Leading WPP Media Brand. Choreograph is WPP's global data products and technology company. We're on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation. We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising.

Role Summary and Impact: Reporting to the Lead Data Scientist, the Data Scientist plays a critical role as part of a broader team in the deployment and development of predictive models for our customers. You will work collaboratively with senior Google Cloud and Google Marketing experts to apply modelling to enhance our customers' media/marketing solutions. As a Data Scientist, you will build out industry relevant predictive models that can be applied to optimize our customers' media investments. The role focuses on applying analytical solutions based on machine learning and statistical predictive algorithms on top of Google technology stack for our customers. We are looking for Data Scientists with relevant education in algorithmic data analysis and proven scientific research skills.

Skills and Experience: At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role, it will be critical to embrace WPP & WPP Media's shared core values:

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

This is an excellent opportunity for a Data Scientist to join the Data, Insights & Analytics Team. You will analyze media and social data created by marketing activity, identify trends and provide actionable insights to improve performance. You will tackle and take apart large and messy datasets of structured and unstructured data, build and implement models and algorithms, and design and run experiments to optimize media and customer experience. The ideal candidate will have a love of getting their hands dirty to create a clean and perfected process.

Responsibilities:

• Creation, management and improvement of models which would be used to measure, optimize and activate media campaigns.
• Building out industry relevant predictive models.
• Documentation of analytics projects and ensuring that specific analytical processes can be replicated and scaled across clients if necessary.
• Building out content for presentations to demonstrate the performance and value of statistical and predictive models.
• Delivery of robust mathematical analysis.
• Produce campaign reports, studies, presentations and proposals to a high standard.
• Achieves continuous improvement by proactively assessing Choreograph's working relationships, practices and methods.
• Demonstrates measurable success.

Requirements:

• Hands-on experience with building out machine learning models with Python.
• Education and background in machine learning, computer science, physics, applied mathematics or statistics.
• Hands-on experience in developing complex query structures with SQL and/or NoSQL query languages.
• Hands-on experience working with GCP's AI Capabilities including leveraging BigQuery ML, Vertex AI.
• Hands-on experience with machine learning techniques using TensorFlow, Keras, PyTorch, Scikit-learn, XGBoost, Pandas, NLTK, Spark MLib.
• Experience and understanding of deep learning techniques (TensorFlow, Theano, MXNet).
• Understanding of or experience in software engineering best practices, DevOps and MLOps.
• Solid grounding in applied mathematics, especially optimisation and graph theory, and statistics.
• Commercial or academic experience in developing ML & AI solutions using Python/R.
• In-depth knowledge of machine learning algorithms.
• Advantageous to have experience in Google Marketing Platform and the use of Ads Data Hub.
• Capabilities in the areas of data engineering, data modelling and complex big data analysis.
• Strong business analysis skills and deep understanding of analytics.
• Strong communication and presentation skills.
• Passionate about working in an extremely fast-paced, demanding, and fluid start-up environment as well as a desire to build a company up from an early stage.

Life at WPP Media & Benefits: Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we're just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we've adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

Please note this is a UK based role and requires individuals to have the right to work in this location.