At a Glance
- Tasks: Build scalable systems for real-time AI/ML workloads and connect fans with sports content.
- Company: Join LiveScore Group, a leader in sports data and technology.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on innovation and data security.
- Why this job: Make an impact in the sports industry while working with cutting-edge data technologies.
- Qualifications: Experience in data engineering and a passion for sports and technology.
The predicted salary is between 60000 - 75000 £ per year.
LiveScore Group is seeking a Data Engineer to join our Data Team, building scalable systems that power our data strategy and empower real-time AI/ML workloads. You will contribute to architectural decisions and deliver robust data solutions that connect fans with sports content across LiveScore, LiveScore Bet and Virgin Bet.
You will collaborate with engineers, analysts and IT to design data models, automate workflows and optimise data platforms, ensuring data security and governance.
Real-Time Data Engineer – GCP, AI/ML Focus, Hybrid employer: LiveScore Group
LiveScore Group is an excellent employer, offering a dynamic work environment that fosters creativity and innovation in the realm of customer engagement. With a strong emphasis on employee growth, the company provides opportunities for professional development alongside competitive benefits such as performance bonuses, private healthcare, and flexible working conditions, making it an attractive place for those looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Real-Time Data Engineer – GCP, AI/ML Focus, Hybrid
✨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 LiveScore Group!
✨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 Real-Time Data Engineer – GCP, AI/ML Focus, Hybrid at LiveScore Group.
✨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 LiveScore Group.
✨Apply Directly through Our Website
When you find a suitable opening like Real-Time Data Engineer – GCP, AI/ML Focus, Hybrid at LiveScore Group, 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 Real-Time Data Engineer – GCP, AI/ML Focus, Hybrid
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 LiveScore Group, 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 LiveScore Group. 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 LiveScore Group
✨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 LiveScore Group!
✨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.
