At a Glance
- Tasks: Design knowledge graphs and build advanced information retrieval systems.
- Company: Pioneering tech start-up in London with an ambitious team.
- Benefits: Competitive salary up to £70k, hybrid working model, and substantial equity.
- Other info: Exciting opportunity for career growth in a dynamic environment.
- Why this job: Influence foundational AI technology and be part of a groundbreaking team.
- Qualifications: Strong academic background and experience in knowledge graphs and information retrieval.
The predicted salary is between 42000 - 84000 £ per year.
A pioneering tech start-up in London is seeking a Founding Applied Research Engineer to design knowledge graphs and build advanced information retrieval systems. This role offers the opportunity to influence foundational AI technology within a small, ambitious team.
The ideal candidate will have a strong academic background and experience in knowledge graphs and information retrieval.
The position includes a hybrid working model and a competitive salary up to £70k plus substantial equity.
Founding Applied Research Engineer – AI Knowledge Graphs employer: Arrows
As a Staff Software Engineer at our innovative company in London, you'll be part of a dynamic team that is revolutionising the way businesses operate with cutting-edge AI technology. We foster a collaborative work culture that prioritises employee growth through mentorship and hands-on experience, while offering competitive salaries and hybrid working options to ensure a healthy work-life balance. Join us to not only shape the future of our platform but also to advance your career in a fast-paced, supportive environment where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Applied Research Engineer – AI Knowledge Graphs
✨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 Arrows!
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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 Arrows.
✨Apply Directly through Our Website
When you find a suitable opening like Founding Applied Research Engineer – AI Knowledge Graphs at Arrows, 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 Founding Applied Research Engineer – AI Knowledge Graphs
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 Arrows, 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 Arrows. 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 Arrows
✨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 Arrows!
✨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.
