At a Glance
- Tasks: Lead the strategy for human data in AI training and evaluation.
- Company: Top online gaming company in the UK with a focus on innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team and make a real impact in the gaming industry.
- Why this job: Shape the future of gaming by enhancing AI through quality human data.
- Qualifications: Experience in machine learning, data workflows, and team collaboration.
The predicted salary is between 42000 - 84000 £ per year.
A leading online gaming company in the UK is seeking a Human Data Manager to own the end-to-end strategy for human data across AI training and evaluation. In this role, you will design human data tasks, oversee pipelines, and ensure high-quality data insights.
The ideal candidate will have:
- Extensive experience in machine learning and data workflows
- Proficiency in collaborating with cross-functional teams
- A strong background in data quality management
This position offers a key opportunity to shape human data practices for product improvement.
AI Human-Data Architect & Evaluation Lead employer: LeoVegas Group
As a leading online gaming company in the UK, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our employees benefit from comprehensive professional development opportunities, competitive compensation packages, and a vibrant workplace that values creativity and teamwork. Join us to be part of a forward-thinking team where your contributions directly impact our cutting-edge AI initiatives and enhance the gaming experience for millions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Human-Data Architect & Evaluation Lead
✨Get Involved in Data Science Meetups
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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 LeoVegas Group.
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We think you need these skills to ace AI Human-Data Architect & Evaluation Lead
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 LeoVegas 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 LeoVegas 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 LeoVegas 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 LeoVegas 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.
