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- Tasks: Drive impactful projects in data science and contribute to innovative industrial applications.
- Company: Exciting London tech startup focused on real-world engineering solutions.
- Benefits: Competitive salary, stock options, flexible working, and professional development opportunities.
- Why this job: Join a mission-driven team and make a difference in energy efficiency and product design.
- Qualifications: PhD in STEM, strong problem-solving skills, and exposure to data science tools.
- Other info: Dynamic startup culture with excellent growth potential and supportive environment.
The predicted salary is between 60000 - 85000 £ per year.
We are a London tech startup on the lookout for bright, motivated and self-driven individuals to join the team.
Who you are
- You are a recent PhD graduate, or about to graduate, in a STEM field with a keen interest in generating real-world impact with industrial applications.
- Must have:
- Relevant PhD degree in a STEM field (e.g., engineering, physics, mathematics, computer science).
- Evidence of self-motivated learning, listening, creative problem solving, critical thinking and solutions communication.
- Strong written-communication skills.
- Exposure to data-science tooling, e.g. Python, R, Julia.
- Eligibility to work in the UK.
- Previous applied experience, e.g. internships or research projects, with industry or in technology startups.
- Understanding of manufacturing, process engineering or mechanical engineering fundamentals, e.g. optimisation, uncertainty quantification, or sensitivity analysis.
- Existing interest in any of analysis automation, high-performance computing (HPC), cloud computing, Linux command-line tools, or bash scripting.
- Ability to deal with ambiguity and change, in a high-growth environment, while maintaining high standards of quality and attention to detail.
- Existing interest in standard machine learning and deep-learning packages (e.g., scikit-learn, Keras, PyTorch).
- Exposure to commercial engineering tools or optimisation packages (e.g., Dassault Systèmes, Siemens, ANSYS, Aspen), open-source optimisation tools used in industry and academia.
What we do
We are building what will become a leading industrial platform that empowers engineers and research scientists to solve pressing problems in energy efficiency, product design and reliability. We develop and support a product that connects simulations, data, and AI to empower large organisations when making informed decisions across the life cycle of engineered systems.
Quaisr is an early stage startup backed by Crane Venture Partners (UK) and Acequia Capital (USA), along with international angel investors. We were founded on partnerships with leading engineering and research institutions including Imperial College London and The Alan Turing Institute. Our customers are early-adopter multinational organisations in the pharmaceuticals, fast-moving consumer goods, defence, and energy sectors.
Where we operate
Our office is in London (White City). This position is available full time in the UK.
When we work
We offer 25 days paid annual leave, in addition to UK public holidays.
What you will do
You will have opportunities to contribute to exciting projects and grow your career in a supportive environment:
- (60%) Devise, plan, implement and deploy industrial use cases – identifying steps to address customer feedback and requirements by supporting the applications, user interface and systems teams to ensure that we are consistently addressing customer problems with compelling solutions.
- (20%) Contribute to technical reference materials including application, code and use-case documentation, technical blog posts, and educational resources for teach-in sessions and data-centric engineering seminars.
- (20%) Support the sales and customer success processes through hands-on contributions, and communicate examples to both existing and prospective customers.
What we offer
- Salary range of £60,000 to £85,000 depending on experience.
- Development training and support to learn required technical skills.
- Employee stock options.
- New equipment: MacBook Pro, and work-from-home allowance.
- Opportunities to attend technical conferences.
- Flexible hybrid working environment, blending work from the office and home.
Our hiring process
- (30 mins) Introductory call with Quaisr. This is a chance to learn about Quaisr and to check that our plans align with your own. We want to get to know you.
- (90 mins) Technical call with two Quaisr team members. We'll give you an opportunity to talk through a past programming experience, including taking us through some of your code. We want to learn more about you, and a little regarding how you think!
- (45 mins) Online coding exercise (with a Quaisr team member on the call) covering basic concepts (whichever language you are most comfortable in).
- (45 mins) Follow-up with additional Quaisr team. You will meet your future team members and learn more about the role directly from us.
Application instructions
Please send a cover letter and CV (max 2 pages) to careers@quaisr.com.
Our policy on equality, diversity and inclusion
Quaisr is committed to creating an environment where diversity is valued and everyone is treated fairly. We welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation. Reasonable adjustments to the interview process can also be made for any candidates with a disability.
One more thing
If you have a compelling interest in our mission, and wish to propose a role that more closely matches your skill set, please get in touch.
Data Scientist, Mid/Senior (m/f/*) employer: Crane Venture Partners
Contact Detail:
Crane Venture Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Mid/Senior (m/f/*)
✨Tip Number 1
Get to know the company inside out! Research Quaisr's projects and values, so you can show us how your skills align with our mission during interviews. This will help you stand out as a candidate who genuinely cares about what we do.
✨Tip Number 2
Practice your coding skills before the technical call! Brush up on your preferred programming language and be ready to discuss your past experiences. We want to see how you think and solve problems, so be prepared to showcase your thought process.
✨Tip Number 3
Don’t shy away from asking questions during the interview process! It shows us that you're engaged and interested in the role. Plus, it’s a great way to determine if we’re the right fit for you too.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it gives you a chance to tailor your application specifically to what we’re looking for at Quaisr.
We think you need these skills to ace Data Scientist, Mid/Senior (m/f/*)
Some tips for your application 🫡
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Make sure to express your passion for data science and how your background aligns with our mission. Highlight any relevant projects or experiences that showcase your problem-solving skills.
Tailor Your CV: Don’t just send a generic CV! Tailor it to reflect the skills and experiences that are most relevant to the Data Scientist role. Focus on your STEM background, any data science tooling you’ve used, and your ability to communicate complex ideas clearly.
Showcase Your Written Communication Skills: Since strong written communication is key for us, make sure your application materials are well-structured and free of errors. Use clear language and avoid jargon unless necessary. We want to see how you can convey your thoughts effectively!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Crane Venture Partners
✨Know Your Stuff
Make sure you’re well-versed in your PhD research and how it relates to real-world applications. Be ready to discuss your projects and the impact they had, as this shows your ability to translate academic knowledge into practical solutions.
✨Show Your Problem-Solving Skills
Prepare examples that highlight your creative problem-solving abilities. Think of situations where you faced ambiguity or challenges and how you tackled them. This will demonstrate your critical thinking and adaptability, which are key for a high-growth environment.
✨Communicate Clearly
Strong written and verbal communication skills are essential. Practice explaining complex concepts in simple terms, as you may need to communicate technical details to non-technical stakeholders. Consider preparing a few key points about your work that you can share succinctly.
✨Be Ready for Technical Questions
Brush up on your coding skills and be prepared to discuss your experience with data science tools like Python or R. You might face technical questions or coding exercises, so practice coding problems and be ready to explain your thought process during the interview.
