Data Scientist Lead

3 days ago

London, Greater London, United Kingdom Sage City Full time

Sage City is a forward-thinking organization that harnesses the power of artificial intelligence and machine learning to drive business growth and innovation. We're seeking a seasoned Data Scientist Lead to lead our machine learning efforts.

About the Role:

In this pivotal position, you'll oversee the development and deployment of scalable machine learning models, collaborating closely with cross-functional teams to translate business problems into actionable insights. As a Data Scientist Lead, you'll be responsible for driving innovation and business growth through data-driven decision making.

Your Key Responsibilities:

  • Lead the design and implementation of product features and services that use AI and ML to enhance customer workflows.
  • Develop and maintain our internal ML platform to support machine learning systems and improve operational efficiency.
  • Monitor and optimize the quality and performance of our models, services, and tools.
  • Collaborate with our AI Platform team to extend the capabilities of our machine learning platform.
  • Design and write robust production-quality code to support our machine learning systems.
  • Build and operate pipelines for accessing and enriching data for machine learning.
  • Train, tune, and deploy models.
  • Mentor other ML engineers, software engineers, and data scientists in best practices.

You Will Be Working In:

A collaborative work environment, with flexibility to work from home or in our London office, allowing for teamwork and work-life balance.

About You:

We're looking for an exceptional individual with extensive practical experience in artificial intelligence and machine learning. Your strong technical background, combined with excellent leadership skills, will enable you to effectively lead and mentor your team.

Required Skills and Qualifications:

  • Expert knowledge and experience with relevant programming languages (incl. Python), frameworks (incl. Pycharm, OpenAI, HuggingFace, Spark, Azure, AWS).
  • Extensive experience with cloud environments (AWS, Azure, GCP).
  • Bachelor's degree, preferably in a field that strongly uses data science/machine learning techniques (e.g. computer science/engineering, statistics, applied math).
  • Fluency in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and predictive modeling.
  • Strong quantitative and analytical skills with significant experience with data science tools.

What We Offer:

An attractive salary of £200,000 - £280,000 per year, depending on experience, plus benefits and opportunities for career growth and development.

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