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For Companies At a Glance
- Tasks: Drive impactful projects in data science and engineering for real-world applications.
- Company: Join an innovative startup transforming industrial platforms with AI and data.
- Benefits: Competitive salary, stock options, flexible working, and professional development opportunities.
- Other info: Collaborative environment with opportunities to attend technical conferences and work with leading institutions.
- Why this job: Make a difference in energy efficiency and product design while growing your career.
- Qualifications: PhD in STEM, creative problem-solving skills, and a passion for learning.
The predicted salary is between 60000 - 85000 £ per year.
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.
- Eligibility to work in the UK.
Nice to have
- 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.
Bonus
- 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.
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/*) in London employer: Quaisr Limited
Contact Detail:
Quaisr Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Mid/Senior (m/f/*) in London
✨Tip Number 1
Get ready for those interviews! Research Quaisr and their projects so you can show off your knowledge and passion. We want to see how you can fit into our mission and contribute to the team.
✨Tip Number 2
Practice your coding skills before the technical call. Brush up on your past projects and be prepared to discuss your thought process. We love seeing how you tackle problems, so don’t hold back!
✨Tip Number 3
Show us your personality! During the introductory call, let your enthusiasm shine through. We’re not just looking for skills; we want to know who you are and how you’ll fit into our culture.
✨Tip Number 4
Don’t forget to ask questions! This is your chance to learn about us too. Prepare some thoughtful questions about our projects or company culture, and let’s have a great conversation.
We think you need these skills to ace Data Scientist, Mid/Senior (m/f/*) in London
Some tips for your application 🫡
Show Your Passion: Let us see your enthusiasm for the role! In your application, highlight your keen interest in generating real-world impact and how your background aligns with our mission at Quaisr.
Tailor Your CV: Make sure your CV reflects the skills and experiences that are most relevant to the Data Scientist position. Focus on your PhD work and any applied experience that showcases your problem-solving abilities.
Be Authentic: We want to know the real you! Don’t just list your skills; share your thought processes and how you approach challenges. This will help us understand your attitude and learning speed.
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Quaisr Limited
✨Know Your Stuff
Make sure you’re well-versed in your PhD research and any relevant projects. Be ready to discuss how your work can translate into real-world applications, especially in areas like energy efficiency or product design.
✨Show Your Problem-Solving Skills
Prepare examples that showcase 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.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. You’ll need to communicate effectively with both technical and non-technical stakeholders, so being able to articulate your thoughts clearly is key.
✨Engage with the Company’s Mission
Familiarise yourself with Quaisr’s goals and values. Show genuine interest in their mission to empower engineers and scientists. This will help you connect with the interviewers and demonstrate that you’re a good cultural fit.