Data Scientist Lead

2 weeks ago

London, Greater London, United Kingdom Mesh-AI Limited Full time

We're a transformation consultancy reimagining how enterprises operate to make data and AI their competitive advantage. Our goal is to turn enterprises into data-driven and AI-enabled organizations, unleashing business growth and accelerating outcomes.

About the Role

As a Data Scientist Lead at Mesh-AI Limited, you will own AI/ML domains as part of a cross-functional team. You will solve business problems not just technical ones - understand our customers, the people & problems they face and design solutions that help them.

Key Responsibilities
  • Designing and building data science and machine learning systems that have measurable impact for clients using cutting-edge technologies
  • Bridging the gap between business and technology; advisory, design & implementation
  • Contribute to internal initiatives such as blogs, thought leadership, leading technical forums

This role requires substantial experience with Python and relevant libraries (e.g. Pandas, Numpy, Scikit Learn, PyTorch, Tensorflow) and experience driving ML & data science solutions into production.

Requirements
  • You can put the numbers into a business perspective - you're a data storyteller
  • You are comfortable getting hands-on dealing with the customer and their problems
  • Experience with cloud computing ecosystems (e.g. AWS, Azure, GCP)
  • Exposure to & appreciation of software engineering best practices applied to data, e.g., version control, CI/CD
  • Outstanding general-purpose skills in AI/ML, and a proven record of applying them to solve business problems
  • Worked in a technical leadership capacity; ideally in a consulting environment
  • Impact driven, work proud and eager to have a real positive influence on Mesh-AI, our customers, and your team
Nice to Have
  • NLP, LLMs, GenAI, time series forecasting, image recognition or deep learning
  • PySpark, OpenCV, spaCy or DVC
  • Exposure to MLOps

The estimated annual salary for this role is around $120,000-$180,000 depending on location and experience.

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