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- Tasks: Join a dynamic team to develop cutting-edge simulation and optimisation software.
- Company: Be part of a fast-growing tech start-up revolutionising public transport with innovative technology.
- Benefits: Enjoy a competitive salary, generous benefits, and a remote-friendly work environment.
- Why this job: Make a real impact while collaborating in a creative and supportive atmosphere.
- Qualifications: 3+ years in data science or machine learning; proficiency in Python and a relevant degree required.
- Other info: Opportunities for training and career development in an exciting early-stage company.
The predicted salary is between 43200 - 72000 £ per year.
Location: Hybrid / Central London
Unique opportunity for a motivated simulation & optimisation specialist to join a rapidly growing and diverse tech start-up. They combine distributed computing, simulation technology and machine learning to develop an autonomous system that's being adopted by some of the biggest public transport networks in Europe. Now looking for a creative ML Scientist to help roll out this system to more clients. This is a central role in a very exciting and ambitious product development phase where you will be building prediction, simulation and optimisation-based software products.
You will have the opportunity to drive the choice of technologies used, transforming applications and experimenting with the best new tools for the job based on client needs and industry trends. You will share responsibility for software development, integration and deployment. You will join a team of urban modelling experts, software engineers and data scientists, driven by a shared desire to improve the world around them, to bring something impactful and unique to market and to create a rewarding, fun, working environment.
Requirements
- 3+ years' professional experience in data science, machine learning and/or operations research, including experience working on simulation and/or optimisation products
- Proficiency in Python and its scientific stack
- Mathematical approach: able to understand & develop complex statistical and computational modelling techniques
- Bachelor's degree in a quant field (maths, physics, statistics, computer science, data science, machine learning, operations research, etc.)
Nice to have
- Knowledge of Java, particularly in the context of simulation, or keen to learn
- Knowledge of database concepts and SQL, or keen to learn
- Experience using cloud computing resources; GCP would be ideal
Benefits
- Great opportunity to be part of a collaborative, creative environment where your work truly has a direct impact
- Competitive salary + generous benefits package
- Join an early-stage start-up at this exciting and critical time when you can help shape the future of the company
- In-house and external training opportunities and genuine career development; healthy work-life balance with remote-friendly workplace
Whilst we carefully review all applications, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
If you think you are a strong candidate for the role and would like further info, please contact: Tom Brown tom.brown@oxfordknight.co.uk +44 (0)20 4576 5966 linkedin.com/in/thomas-brown-196a29103
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Scientist
✨Tip Number 1
Network with professionals in the field of machine learning and data science. Attend industry meetups, webinars, or conferences where you can connect with people who work at tech start-ups or in public transport systems. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Showcase your practical experience with simulation and optimisation projects. If you have worked on relevant projects, be prepared to discuss them in detail during interviews. Highlight any specific technologies or methodologies you used that align with the job description.
✨Tip Number 3
Familiarise yourself with the latest trends in machine learning and cloud computing, particularly GCP. Being knowledgeable about current tools and technologies will not only help you in interviews but also demonstrate your commitment to staying updated in the field.
✨Tip Number 4
Prepare thoughtful questions to ask during the interview. Inquire about the company's approach to technology selection and how they integrate new tools into their projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
We think you need these skills to ace Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, machine learning, and operations research. Emphasise any projects related to simulation and optimisation, and showcase your proficiency in Python and its scientific stack.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for the role and the company. Discuss how your skills align with their needs, particularly in building prediction and optimisation-based software products. Mention your eagerness to contribute to their mission of improving public transport networks.
Showcase Relevant Projects: If you have worked on relevant projects, include them in your application. Describe your role, the technologies used, and the impact of your work. This will demonstrate your hands-on experience and ability to drive technology choices.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter. Check for any grammatical errors or typos, as these can create a negative impression. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Oxford Knight
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and any experience with its scientific stack. Be prepared to discuss specific projects where you've applied machine learning, simulation, or optimisation techniques.
✨Demonstrate Your Problem-Solving Ability
Prepare examples of how you've tackled complex statistical or computational problems in the past. This role requires a mathematical approach, so showcasing your analytical thinking will be crucial.
✨Familiarise Yourself with the Company’s Technology
Research the technologies and tools used by the company, especially in distributed computing and cloud resources like GCP. Showing that you understand their tech stack can set you apart from other candidates.
✨Express Your Passion for Impactful Work
This position is about improving public transport networks. Share your enthusiasm for using technology to make a difference and how your values align with the company's mission to create a positive impact.
