Data Apprentice - London, United Kingdom - Acceleration

Description

Data Analyst

• UK

Data, Analytics & Insight London, England

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.

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:


AREA OF EXPERTIZE:


IDEAL CANDIDATE:


RESPONSIBILITIES:

• Creation, management and improvement of models which would be used to measure, optimize and activate media campaigns.
• Building out industry relevant predictive models under the guidance of the Lead
• 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 analysis reports, studies, presentations, and proposals to a high standard.
• Achieves continuous improvement by proactively assessing Acceleration's working relationships, practices and methods.

REQUIREMENTS:

• Strong business analysis skills and deep understanding of analysis.
• Strong communication and presentation skills.
• Passionate about working in an extremely fastpaced, demanding, and fluid startup environment as well as a desire to build a company up from an early stage
• Education and background in machine learning, computer science, physics, applied mathematics, economics/econometrics, or statistics.
• Solid grounding in applied mathematics, especially optimisation and graph theory, and statistics.

ADVANTAGEOUS:

• Handson experience in developing complex query structures with SQL and/or NoSQL query languages.
• Handson experience working with GCP's AI Capabilities including leveraging BigQuery ML, Vertex AI
• Handson experience with machine learning techniques using (TensorFlow, Keras, PyTorch, Scikitlearn, 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.
• 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.
• In depth knowledge of machine learning algorithms.
• Commercial or academic experience in developing ML & AI solutions using Python/R.