Materials Data Scientist & AI-Driven Software Engineer

Enthought, Inc.

Cambridge

Hybrid

GBP 60,000 - 80,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation
Flexible hybrid work in Cambridge

Job summary

Enthought, Inc. is seeking a Materials Data Scientist / Scientific Software Developer to join our client-facing solution delivery team in Cambridge.

You will pair deep materials and chemistry expertise with agentic AI coding tools to build data-driven models, AI-based decision-support tools, and analysis pipelines for R&D teams. Working agent-first, you will lead design, prototyping, and delivery of end-to-end solutions, collaborating closely with researchers and business leaders to accelerate

Qualifications

  • Experience applying materials informatics to real R&D problems.
  • Ability to design data-driven models and pipelines.
  • Experience collaborating with researchers and clients.

Responsibilities

  • Design end-to-end materials informatics solutions spanning data, models, and apps.
  • Direct AI agents and code with domain context and constraints.
  • Decompose problems into well-scoped tasks for autonomous coding.
  • Collaborate with client researchers and business leaders.
  • Build data-driven models, AI decision tools, and analysis pipelines.
  • Develop web-based solutions with GUIs and cloud computing.
  • Integrate AI-enabled capabilities including data retrieval.
  • Engage in software development practices and client demos.

Skills

Materials informatics
ML modeling
Python
Software development

Tools

Git
Docker
Jupyter

Job description

Enthought, Inc. is seeking a Materials Data Scientist / Scientific Software Developer to join our client-facing solution delivery team in Cambridge.

You will pair deep materials and chemistry expertise with agentic AI coding tools to build data-driven models, AI-based decision-support tools, and analysis pipelines for R&D teams. Working agent-first, you will lead design, prototyping, and delivery of end-to-end solutions, collaborating closely with researchers and business leaders to accelerate

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