Lead Data Scientist

Lead Data Scientist
  • £100,000 - £115,000 per Annum
    ANNUM
  • Permanent
  • City of London, London, England, UK WC1X 8RX City of London London GBR WC1X 8RX
Job Ref: 50219033
Sector: Data & Analytics
Date Added: 10 January 2022

Lead Data Scientist - Global Media Business - Remote with some travel to central London

The Client

They are a specialist practice for Google Marketing and Cloud Platforms. They help some of the worlds most recognisable brands make informed decisions around their marketing spend. This in turn accelerates growth.

The Role

This is a Senior role within the team and reports to the UK CTO. You will play a critical role in the deployment and development of predictive models for customers. You will work collaboratively with Senior Google Cloud and Google Marketing experts to apply modelling to enhance customers media/marketing solutions. As Lead Data Analyst you will be building out industry-relevant predictive models that can be applied to optimise their customers media investments.

The role focuses on applying analytical solutions based on machine learning & statistical predictive algorithms on top of Google's technology stack.

Your Responsibilities

  • Creation, management, and improvement of models which would be used to measure, optimise 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
  • Establish MLOps process leveraging GCP toolset

Your Skills & experience

  • Hands-on experience with building out machine learning models with Python
  • Education and background in machine learning, computer science, physics, applied mathematics or statistics is beneficial
  • 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)
  • 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
  • Capabilities in the areas of data engineering, data modelling and complex big data analysis

Next steps

If you believe you have the desired skills and experience, please follow the link to apply and attach a copy of your up-to-date CV. If successful, a Consultant will be in touch to discuss the role in more detail.

Lorien Plc is acting as an Employment Agency in relation to this vacancy.

Lorien
09/02/2022 10:43:44
GBP 100000 115000 Annum
Contact Consultant:
Peter Davenport

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