At a Glance
- Tasks: Lead complex machine learning projects in the exciting world of AI and cloud technology.
- Company: Join CoreWeave, a pioneering cloud platform for AI innovators.
- Benefits: Enjoy family-level medical and dental insurance, generous pension contributions, and tuition reimbursement.
- Other info: Be part of a fast-growing team that values curiosity and innovation.
- Why this job: Make a real impact by solving high-value engineering problems with advanced ML techniques.
- Qualifications: 5+ years in data science, strong Python skills, and experience with ML systems.
The predicted salary is between 60000 - 80000 £ per year.
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability.
CoreWeave’s Monolith team is building the essential cloud platform for AI innovators, applying machine learning to solve intractable physics and engineering challenges. We operate at the intersection of advanced cloud infrastructure and applied data science, transforming how complex industrial products – such as automotive systems, aircraft, and advanced batteries – are conceived, tested, and developed.
As a Senior Data Scientist, you will take end‑to‑end ownership of complex machine learning problems across the Physical AI space. This is a high‑impact role for someone with a strong technical foundation and a generalist mindset who can move from problem framing and experimentation through deployment and ongoing support.
You will work closely with engineering, product, and client‑facing teams to turn advanced ML methods into production‑ready solutions that can be trusted in real customer environments. The role blends research depth with practical delivery, and requires someone who can align stakeholders, surface risks and limitations, and communicate technical decisions clearly.
Who You Are
- 5+ years of experience in data science, machine learning, or applied AI, with evidence of delivering high‑impact production ML systems.
- Strong software engineering skills in Python, with extensive experience using scientific computing and ML libraries such as NumPy, pandas, SciPy, scikit‑learn, PyTorch, or TensorFlow.
- Experience deploying and supporting ML systems in production, including cloud‑based environments.
- Strong grounding in statistical modelling, machine learning experimentation, and evaluation.
- Experience working with time‑series, high‑dimensional, or imperfect real‑world datasets.
- Strong technical curiosity and a habit of keeping up with current ML and AI research.
- Comfortable working cross‑functionally with engineering, product, and customer‑facing teams, and able to explain technical decisions clearly to different audiences.
Preferred
- Background in engineering, physics, chemistry, or another STEM discipline connected to complex physical systems.
- Experience with anomaly detection, optimisation, reliability‑focused modelling, or related approaches in industrial settings.
- Experience building or experimenting with agents or autonomous systems.
- Familiarity with MLOps, model monitoring, and efficient compute practices.
- Experience working with sparse, noisy, or imperfect real‑world data from labs, heavy industry, or other applied environments.
- Track record of collaborating closely with deployed or client‑facing teams to bring advanced methods into operational use.
We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team:
- You love applying advanced ML to real‑world, high‑value physical engineering problems.
- You're curious about agentic and autonomous approaches and how they can reshape engineering workflows.
- You're an expert in taking ML solutions from research and modelling through production delivery, with a strong bias toward reusable, high‑quality systems.
Why CoreWeave?
At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper‑growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values.
- Be Curious at Your Core
- Act Like an Owner
- Empower Employees
- Deliver Best‑in‑Class Client Experiences
- Achieve More Together
What We Offer
- Family‑level Medical Insurance
- Family‑level Dental Insurance
- Generous Pension Contribution
- Life Assurance at 4x Salary
- Critical Illness Cover
- Employee Assistance Programme
- Tuition Reimbursement
Equal Opportunity
CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.
Senior Data Scientist employer: CoreWeave
CoreWeave is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to take ownership of their projects. With a strong focus on employee growth, CoreWeave provides comprehensive benefits including family-level medical and dental insurance, generous pension contributions, and tuition reimbursement, all while fostering a culture of curiosity and collaboration. Located at the forefront of AI technology, this is a unique opportunity to contribute to groundbreaking advancements in a supportive and inclusive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨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 CoreWeave!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Scientist at CoreWeave.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like CoreWeave.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist at CoreWeave, 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 Senior Data Scientist
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 CoreWeave, 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 CoreWeave. 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 CoreWeave
✨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 CoreWeave!
✨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.
