At a Glance
- Tasks: Lead innovative AI-driven projects and solve complex engineering challenges.
- Company: Join a cutting-edge deep-tech company revolutionising hardware innovation.
- Benefits: Equity options, flexible working, free lunches, and personal development opportunities.
- Why this job: Make a real impact in advanced industries while growing your technical leadership skills.
- Qualifications: 3-5 years experience in data science with strong Python and deep learning skills.
- Other info: Work in a dynamic environment with opportunities for travel and mentorship.
The predicted salary is between 48000 - 72000 £ per year.
PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.
As a Senior Data Scientist in Delivery, you are an experienced problem solver and technical leader who is passionate about building practical solutions that enable customers to make better engineering decisions. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side‐by‐side with them on‐site) to embed cutting edge AI models into tools that are useful and used.
You have consistently tackled difficult problems that require strong foundations in data‐driven modelling and deep learning techniques, with extensive hands‐on experience in probabilistic methods and predictive modelling. Your expertise in Python, along with advanced proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with proven ability to architect and deploy scalable, production‐ready models and data pipelines.
With 3‐5 years of industry experience (post‐Masters or PhD) in a commercial, non‐research environment, you are ready to not only execute but also lead and mentor others. You are truly excited about growing both your technical expertise and leadership skills, naturally taking ownership of complex data science work streams and guiding teams to success. You continuously improve the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.
In this senior role, you will work closely with our Simulation Engineers, Machine Learning Engineers, and customers to understand and define the engineering and physics challenges we are solving, while providing technical leadership to your team.
You will build the foundations for successful, impactful solutions by:
- Leading pre‐processing and analysis of complex data to prepare it for use in predictive modelling, establishing best practices and methodologies for your team.
- Architecting and developing innovative deep learning models in combination with state‐of‐the‐art optimisation methods to predict and control the behaviour of physical systems.
- Taking full responsibility for the quality, accuracy and impact of your work and the work of your team.
- Designing, building, and testing data pipelines that are reliable, scalable, and robustly deployable in production environments.
- Leading cross‐functional collaboration with simulation engineers to ensure seamless integration of data science models with simulations.
- Driving internal R&D and product development, helping to refine models and identify new areas of application.
- Mentoring junior team members and providing technical guidance to help them grow.
- Leading open communication and presentations with both technical teams and customers, helping onboard users and co‐develop with customers.
- Representing PhysicsX as a technical authority when traveling to customer sites in North America, Europe, Asia, Oceania, an average of 2‐3 weeks per quarter, where you will collaborate closely with customers to build solutions on site.
As a senior member of the team, you will have significant influence on our technical direction and the opportunity to shape future solutions and products, while developing your skills as a technical leader.
Please note, this role is based in London, UK, working 2‐3 days per week in our office.
Benefits include:
- Equity options – share in our success and growth.
- 10% employer pension contribution – invest in your future.
- Free office lunches – great food to fuel your workdays.
- Flexible working – balance your work and life in a way that works for you.
- Hybrid setup – enjoy our new Shoreditch office while keeping remote flexibility.
- Enhanced parental leave – support for life's biggest milestones.
- Private healthcare – comprehensive coverage.
- Personal development – access learning and training to help you grow.
- Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones.
We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
Principal Data Scientist London, United Kingdom employer: PhysicsX Ltd
Contact Detail:
PhysicsX Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist London, United Kingdom
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, conferences, or even online webinars. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and data science. This is your chance to demonstrate your expertise in Python and deep learning techniques, making it easier for potential employers to see what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data science. Think about how you would tackle real-world problems and be ready to discuss your thought process. Remember, they want to see how you approach challenges!
✨Tip Number 4
Apply through our website! We love seeing applications come directly from candidates who are excited about joining us. Tailor your application to highlight your leadership skills and technical expertise, and don’t forget to mention your passion for engineering and innovation.
We think you need these skills to ace Principal Data Scientist London, United Kingdom
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data science and engineering shine through. We want to see how excited you are about solving complex problems and making a real impact in the industry!
Tailor Your Experience: Make sure to highlight your relevant experience in data-driven modelling and deep learning techniques. We’re looking for specific examples that demonstrate your hands-on skills with Python and libraries like TensorFlow and PyTorch.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your achievements and how they relate to the role. We appreciate clarity as much as we value technical expertise!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity at PhysicsX.
How to prepare for a job interview at PhysicsX Ltd
✨Know Your Stuff
Make sure you brush up on your knowledge of deep learning techniques and data-driven modelling. Be ready to discuss your hands-on experience with Python and libraries like TensorFlow and PyTorch. Prepare examples of how you've tackled complex problems in previous roles.
✨Showcase Your Leadership Skills
As a Principal Data Scientist, you'll be expected to lead and mentor others. Think of specific instances where you've guided a team or taken ownership of a project. Highlight your ability to communicate technical concepts clearly to both technical teams and customers.
✨Understand the Industry
Familiarise yourself with the industries PhysicsX operates in, such as Aerospace, Defence, and Automotive. Be prepared to discuss how your skills can help solve engineering challenges in these fields. This shows your genuine interest and understanding of their business.
✨Prepare for Collaboration
Since this role involves working closely with simulation engineers and customers, think about how you can foster cross-functional collaboration. Be ready to share your thoughts on integrating data science models with simulations and how you would approach working on-site with clients.