At a Glance
- Tasks: Create and maintain advanced knowledge systems for data analysis and decision-making.
- Company: Join Craxel, a leader in AI-powered data analytics with innovative technology.
- Benefits: Enjoy a competitive salary, health insurance, 30 days holiday, and global travel opportunities.
- Other info: Hybrid role in Belfast with excellent career growth and continuous learning.
- Why this job: Be part of a revolutionary team transforming data into actionable insights.
- Qualifications: STEM degree required; strong communication and problem-solving skills essential.
The predicted salary is between 32500 - 32500 £ per year.
Craxel is revolutionizing data analytics and artificial intelligence with its pioneering Black Forest™ technology, which offers a cutting-edge knowledge infrastructure for AI-powered decision-making at large scales with exceptional speed. This technology enables instant access to fully connected and contextualized data for both humans and machines, even across complex datasets of immense size. Leveraging an O(1) indexing engine, Black Forest delivers unparalleled performance, cost-efficiency, and low-latency results. Used to transform fragmented data into multidimensional, AI-ready knowledge graphs, Craxel empowers industries ranging from national security to financial intelligence to make optimized decisions rapidly and at scale.
This is a full time role for a Graduate Knowledge Engineer at Craxel UK, based in Belfast (Hybrid Role, office based 3 days per week). Our Knowledge Engineers, working with clients and partners, focus on solving complex problems by developing and designing advanced knowledge systems that change the game when it comes to the handling and analysis of data.
Responsibilities:
- Creating and maintaining database tooling, knowledge representations and graphs, vector and time series analysis, ensuring data contextualization, and supporting AI readiness.
- Collaborating with UK and US teams to analyse, structure, and optimise complex data sets for decision making processes, including working with clients and explaining the benefits of Black Forest™.
Qualifications Who We're Looking For:
- Minimum 2:1 Bachelor's degree or Masters Graduate in any STEM field.
- Must be willing to work in an office environment with flexible hybrid working.
- Strong communicators, both written and verbal.
- Problem solvers eager to learn and grow.
- Team players with a collaborative spirit.
- Detail-oriented with a "can-do" attitude.
Key Skills:
- Foundational understanding of time series data, data modelling, ontologies, graph databases, or knowledge representation frameworks (e.g., RDF, OWL, SPARQL, property graphs).
- Understanding of data sources (structured, unstructured, geospatial, and temporal).
- Understanding of AI/ML, Generative AI, or LLM grounding concepts, especially in relation to structured data or retrieval augmented generation (RAG).
- Knowledge of Cloud Infrastructure and Containers is desirable but not essential.
- Jira and GitHub knowledge desirable.
What We Offer:
- Excellent benefits and employment package.
- Competitive starting salary of £32,500.
- Health Insurance (including, optical and dental cover).
- Group Employment Income Protection.
- Holiday allowance of 30 days annually.
- Continuous learning opportunities.
- Opportunities to travel globally.
- Give as You Earn.
Please note, we cannot offer visa sponsorship for this position.
Security Clearance Qualification Statement:
Due to the nature of some of the work that we do at Craxel, many of our roles are subject to security restrictions. This role requires you to be eligible for Security Clearance (SC) without any caveats. It is a requirement that the successful applicant undergo, achieve, and maintain SC Clearance. To be eligible for full SC without caveats, you generally need to have resided in the UK for the last 5 years.
Craxel adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
Graduate Knowledge Engineer employer: Craxel
At Craxel, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our Graduate Knowledge Engineers benefit from a competitive salary, comprehensive health insurance, and generous holiday allowances, all while working in a hybrid environment in the vibrant city of Belfast. With continuous learning opportunities and the chance to engage with cutting-edge technology, employees are empowered to grow their careers and make a meaningful impact in the field of data analytics and AI.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Knowledge Engineer
✨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 Craxel!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Graduate Knowledge Engineer at Craxel.
✨Leverage Professional Networks
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 Craxel.
✨Apply Directly through Our Website
When you find a suitable opening like Graduate Knowledge Engineer at Craxel, 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 Graduate Knowledge Engineer
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 Craxel, 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 Craxel. 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 Craxel
✨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 Craxel!
✨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.
