Data Scientist β€” Multi-Physics AI for Engineering (Hybrid)

Data Scientist β€” Multi-Physics AI for Engineering (Hybrid)

Full-Time 63000 - 77000 Β£ / year (est.) Home office (partial)
PhysicsX Ltd

At a Glance

  • Tasks: Translate complex physics problems into data-driven solutions and build predictive models.
  • Company: Join PhysicsX Ltd., a leader in ML/DS research with a vibrant team.
  • Benefits: Enjoy a hybrid work model, opportunities to publish, and mentorship roles.
  • Other info: Dynamic environment with opportunities for professional growth and innovation.
  • Why this job: Make an impact in engineering with cutting-edge AI and collaborate with experts.
  • Qualifications: PhD in a relevant field and 2+ years in data-driven roles, proficient in Python and PyTorch.

The predicted salary is between 63000 - 77000 Β£ per year.

Physics X Ltd. is recruiting for multiple levels in the ML/DS research space.

You will work with ML and simulation engineers and customers to translate physics problems into data-driven solutions, build predictive models, and mentor junior staff.

The role offers a hybrid work model from our Shoreditch office with days at home and opportunities to publish and present results.

You are expected to have a Ph D in a relevant field and 2+ years in data-driven roles, with experience in Python, Py Torch,

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Data Scientist β€” Multi-Physics AI for Engineering (Hybrid) employer: PhysicsX Ltd

At PhysicsX Ltd, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the heart of London. Our dynamic work culture encourages creativity and offers ample opportunities for professional growth, allowing you to make a meaningful impact in the field of materials science. With access to cutting-edge technology and a supportive team, you'll thrive in an environment that values your contributions and promotes continuous learning.

PhysicsX Ltd

Contact Details:

PhysicsX Ltd Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Data Scientist β€” Multi-Physics AI for Engineering (Hybrid)

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like PhysicsX Ltd!

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✨Apply Directly through Our Website

When you find a suitable opening like Data Scientist β€” Multi-Physics AI for Engineering (Hybrid) at PhysicsX Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Scientist β€” Multi-Physics AI for Engineering (Hybrid)

Machine Learning
Data Science
Predictive Modelling
Python
PyTorch
Physics Problem Solving
Mentoring

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!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at PhysicsX Ltd, 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 PhysicsX Ltd. 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 PhysicsX Ltd

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at PhysicsX Ltd!

✨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.