At a Glance
- Tasks: Create data-driven models and AI tools for innovative materials science projects.
- Company: Join Enthought, a leader in scientific software development.
- Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
- Other info: Be part of a dynamic team in a collaborative environment.
- Why this job: Combine your passion for materials science with cutting-edge AI technology.
- Qualifications: Experience in materials science and proficiency in coding required.
The predicted salary is between 63000 - 77000 £ per year.
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.
Materials Data Scientist & AI-Driven Software Engineer employer: Enthought, Inc.
Enthought is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for professionals seeking to make a meaningful impact in the fields of scientific computing and AI. With a strong emphasis on employee growth, you will have the opportunity to lead a talented global team while working in a dynamic environment that values cutting-edge technology and continuous learning. Located in vibrant cities like Austin, Tokyo, and Cambridge, Enthought offers a unique blend of professional development and work-life balance, ensuring that you thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Materials Data Scientist & AI-Driven Software Engineer
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We think you need these skills to ace Materials Data Scientist & AI-Driven Software Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Enthought, Inc., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Enthought, Inc.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Enthought, Inc.
✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
