Lead Data Scientist

Mesh-AI
London
3 weeks ago
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About Mesh-AI

We're a transformation consultancy and we exist to reimagine how enterprises operate, making data and AI their competitive advantage. We turn enterprises into data-driven and AI enabled organisations, unleashing business growth and accelerating outcomes.

We have big ambitions for the future. Since we launched October 2021, we've grown to over 100 people and are working with some of the UK's largest enterprises to deliver real transformation.

We're building an open, collaborative culture and we are always on the lookout for top talent to join us in our next phase of growth. If you're interested in working on business-defining engagements with some of the brightest minds in the industry, apply below!

Our Values

We're committed to building an organisation where everyone can thrive. That's why we collectively created the following values:

Own It:Take responsibility and make impactful decisions - your ownership drives our success.
Drive Excellence:Commit to being the best in what we do - excellence isn't an option, it's our benchmark.
Act with Integrity:Uphold a culture of trust and respect, build strong relationships and deliver on every promise.
Think Customer First:Put our customers at the heart of every decision you make - their success defines ours.Go Big & Innovate:Be ambitious, challenge norms and innovate boldly to redefine what's possible for us and our customers.

Opportunity

You'll not be an island here. We're going to surround you with industry leading talent who are working towards a shared goal of using AI/ML to deliver maximum business value to our clients. We're going to be bringing products & solutions to life - your work will see the light of day.

Responsibilities

  • Help own AI/ML domain as part of a cross functional team
  • Solve the business problems not just the technical ones - understand our customers, the people & problems they face and design solutions that help them
  • Designing and building data science and machine learning systems that have measurable impact for clients with the use of cutting edge technologies
  • Bridging the gap between business and technology; comfortably communicating & managing expectations across customer stakeholder, technology & our own engineering teams.
  • Contributing in discovery sessions and workshops with customers
  • Engage with your cross-functional squad across discovery & delivery phases of engagements; advisory, design & implementation
  • Contribute to internal initiatives such as; blogs & technical forums

Requirements

  • Substantial experience with Python and relevant libraries (e.g.Pandas,Numpy, Scikit Learn, PyTorch, Tensorflow)
  • Experience driving ML & data science solutions into production
  • 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
  • General purpose skills in AI/ML, and a proven record of applying them to solve business problems
  • 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

Why Mesh-AI

  • Fast-growing start-up organisation with huge opportunity for career growth
  • Highly competitive salary package along with company bonus
  • A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one!
  • Financially backed business meaning security and support for new initiatives and global market expansion
  • Pick your own Gear! Macbooks, PCs, Accessories!
  • Drive your development with a personal learning budget

Want to know more? Get in touch with . Otherwise apply here.#J-18808-Ljbffr

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