Lead Data Scientist

Location London
Discipline: Machine Learning
Job type: Permanent
Contact name: Eddie Woodley

Contact email: eddie@digitalsourcinggroup.com
Published: about 1 month ago

What You Will Be Doing

As a Lead Data Scientist, you will be responsible for overseeing the Expert Services (ES) and Research & Development (R&D) functions within a cutting-edge technology company focused on empowering critical infrastructure with Federated Learning Edge AI. Collaborating closely with the Lead Product Manager and Lead Product Architect, you will drive applied research into product features, prototype algorithms, and Data Science workflows. Your role will also involve customer entablements to ensure successful product adoption and the development of innovative product features through customer feedback and proof-of-concept evaluations. Engaging with customers to define suitable Data Science strategies and partnering with Product and Sales teams to plan optimal solutions will be key aspects of your role.

What the Company Hiring is Looking For

The ideal candidate for this role is an experienced Lead Data Scientist with a solid educational background in science, mathematics, or engineering. You must possess a deep understanding of the scientific process, hypothesis formulation, and academic literature. Extensive experience in federated learning and machine learning projects using real-world data is essential, with a preference for expertise in advanced deep learning techniques such as convolutional neural networks and encoder-decoder architectures. Experience in computer vision, NLP, or reinforcement learning projects is advantageous.

Qualities/Skills the Company Hiring is Looking For

  • Minimum of 3 years of work experience in DL and ML projects

  • Proficiency in federated learning at scale using PyTorch/TensorFlow

  • Strong understanding of linear algebra, statistical theory, and classical machine learning

  • Knowledge of distributed computing and ML

  • Familiarity with DL techniques like model optimization and transfer learning

  • Experience in end-to-end data science development cycle

  • Domain knowledge in IoT Devices, manufacturing, energy, or healthcare sectors

  • Previous experience in a lead scientist position

  • Excellent interpersonal and stakeholder management skills

  • Exposure to SaaS, PAAS software products, and ETL/data engineering architectures

  • Familiarity with Agile/Scrum methodologies and DevOps/MLOps practices

Desirable skills but not essential

  • Experience working in one of AWS/GCP/Azure

  • SQL experience

  • Docker and Kubernetes experience for deployment