At a Glance
- Tasks: Lead data science projects, develop AI models, and collaborate with engineers to solve complex challenges.
- Company: PhysicsX, a deep-tech company revolutionising engineering with AI-driven simulation software.
- 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 and leadership skills.
- Qualifications: 3-5 years of experience in data science, strong Python skills, and a passion for problem-solving.
- Other info: Join a diverse team and enjoy a hybrid work setup in vibrant Shoreditch.
The predicted salary is between 48000 - 72000 ÂŁ 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.
Who We're Looking For
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’ve 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’re ready to not only execute but also lead and mentor others. You’re 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.
This Role
In this senior role, you’ll 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’ll 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’ll collaborate closely with customers to build solutions on site.
As a senior member of the team, you’ll have significant influence on our technical direction and the opportunity to shape future solutions and products, while developing your skills as a technical leader.
Benefits
- 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.
Equal Opportunity Statement
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.
Senior Data Scientist London, United Kingdom in City of London employer: PhysicsX Ltd
Contact Detail:
PhysicsX Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist London, United Kingdom in City of London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at PhysicsX. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them. Share your GitHub or any relevant work during interviews to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical challenges! Brush up on your data science concepts and be ready to tackle real-world problems during interviews. Practice coding challenges and case studies that reflect the kind of work you'd be doing at PhysicsX.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the PhysicsX team!
We think you need these skills to ace Senior Data Scientist London, United Kingdom in City of London
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 of how you've tackled challenges in previous roles, so don’t hold back on the details!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your skills and achievements are easy to understand. This will help us see how you can fit into our team.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
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. PhysicsX is looking for someone who can lead technical initiatives, so be prepared to showcase your problem-solving skills and how you've tackled complex challenges in the past.
✨Showcase Your Leadership Skills
As a Senior Data Scientist, you'll need to demonstrate your ability to mentor others and lead teams. Think of examples where you've guided junior team members or taken ownership of complex projects. Highlight your experience in cross-functional collaboration, especially if you've worked closely with simulation engineers or customers.
✨Prepare for Technical Questions
Expect to face some tough technical questions during your interview. Review best practices for data pre-processing and predictive modelling, and be ready to discuss how you've architected and deployed scalable models in production environments. Practising coding problems related to data pipelines could also give you an edge.
✨Understand the Company and Its Customers
Familiarise yourself with PhysicsX's mission and the industries they serve, such as Aerospace & Defence and Automotive. Being able to speak about how your skills can directly benefit their customers will show that you're genuinely interested in the role. Consider how AI-driven solutions can impact engineering decisions and be ready to share your thoughts.