Data Scientist London, England
Job description
ACCELERATION OVERVIEW:
Acceleration is WPP’s specialist practice for Google Marketing & Cloud Platforms. We are a curious team of highly skilled data and technology practitioners, inspired by experimentation and new ideas. This is the lifeblood of the future-forward solutions we deliver, that empower our clients to compete every day, in a dynamic environment. And it is the reason we have become trusted advisors to CEOs, strategic partners to CMOs, and operational partners to CIOs, around the globe.
We help clients leverage the power of Google’s Marketing and Cloud platforms to transform their marketing organizations and accelerate growth. With access to expert consultancy services and a deep bench of specialized skills, we deliver what marketers need to compete effectively, increase efficiency, and drive growth. We are well known for our open, transparent, and honest relationships with clients. We identify opportunities for innovation while remaining firmly grounded in business reality. We demystify complex tasks and impart knowledge without hype or pretense, and we shape marketing ecosystems to drive growth through the intelligent application of data and technology. Most importantly, we speak in specifics and get the job done.
Our contribution is measured by our clients’ success. We understand that speed to value is critical. This is why we release value at every step of the process. Every day we build our skills and hone our craft to get our clients the results they deserve.
We are Acceleration: We turn bold ambition into business reality.
ROLE OVERVIEW:
Reporting to the Lead Data Scientist, the Data Scientist plays a critical role 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 modeling to enhance our customers media/marketing solutions. As Data Scientist you will be build out industry relevant predictive models that can be applied to optimize our customers media investments.
The role focusses on applying analytical solutions based on machine learning & 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.
AREA OF EXPERTIZE:
Acceleration is part of WPP, the world’s largest advertising and marketing services group. Clients come to us to solve today’s biggest challenges, surrounding the use of data and technology, to support delivery of improved digital marketing experiences for their customers, across paid, owned and earned environments. Typically, their biggest area of investment is media, and using data and technology, to un-lock value in this area is critical. You will display a distinctive level of subject matter expertise on how to architect and deliver advertising / marketing technology and data strategies that accelerate client value, by increasing customer engagement and personalization in this area. Google is a key partner of ours, and a primary route to market – knowledge of the Google Marketing Platform as well as how Google Cloud can improve marketing efforts is a strong bonus.
IDEAL CANDIDATE:
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 idea 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 model
- Delivery of robust mathematical analysis
- Produce campaign reports, studies, presentations and proposals to a high standard.
- Achieves continuous improvement by proactively assessing Acceleration’s working relationships, practices and methods
- Establish MLOps process leveraging GCP toolset.
- Demonstrates measurable success
REQUIREMENTS:
- Solid hands-on experience with building out machine learning model 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
