Data Scientist, Mid/Senior (m/f/*)

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.

Do you have a Doctoral degree?, 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, We are a London tech startup on the lookout for bright, motivated and self-driven individuals to join the team., 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. We are less interested in specific technologies and tools, and more interested in your attitude, learning speed and thought processes.
• Strong written-communication skills.
• Exposure to data-science tooling, e.g. Python, R, Julia.
• 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., 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.

• 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.