At a Glance
- Tasks: Develop AI models for influencer marketing and enhance platform capabilities.
- Company: Join Tencent's Level Infinite, a global gaming brand focused on innovation.
- Benefits: Gain hands-on experience in a dynamic environment with growth opportunities.
- Other info: Collaborate with diverse teams and contribute to exciting projects in influencer marketing.
- Why this job: Make an impact in the gaming industry while working with cutting-edge AI technologies.
- Qualifications: Strong foundation in machine learning, Python proficiency, and a passion for gaming.
The predicted salary is between 20000 - 30000 £ per year.
About the Hiring Team
Level Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world. We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games.
What the Role Entails
We are looking for an Associate Data Scientist to help build AI-powered capabilities for our influencer marketing platform. The role focuses on turning data and machine learning into practical product features—from creator discovery and content understanding to campaign optimization and performance prediction. You will work at the intersection of data science, product, and engineering, helping bring intelligent systems into real-world use cases that drive measurable business impact.
Responsibilities
- Develop and deploy machine learning / AI models to enhance platform capabilities.
- Creator segmentation and recommendation.
- Creator content labeling and data analysis.
- Campaign performance prediction and optimization.
- Translate business and product problems into data science solutions.
- Design experiments to validate hypotheses and measure impact.
- Iterate on models based on performance, feedback, and real-world usage.
- Work with data engineers to define and build scalable data pipelines.
- Clean, process, and structure large datasets (creator data, content metadata, campaign performance).
- Design meaningful features that improve model performance.
- Collaborate closely with product managers and engineers to integrate models into the platform.
- Ensure models are production-ready, reliable, and scalable.
- Contribute to API design, model serving, and inference workflows.
- Track model performance using appropriate metrics (accuracy, precision, recall, business KPIs).
- Maintain documentation and ensure reproducibility.
Qualifications
- Integrity: Prioritize correctness, transparency, and responsible use of data.
- Gamer Native: Understand gaming ecosystems and player/content dynamics.
- Pop Culture Fluent: Be familiar with creators, platforms, and digital trends.
- Tech‑Savvy: Curiosity and hands‑on experience with emerging AI technologies.
- Technical Skills: Strong foundation in machine learning and statistics. Proficiency in Python and common ML libraries (PyTorch, scikit‑learn). Experience with data processing (pandas, SQL). Familiarity with LLMs, NLP, or recommendation systems is a strong plus. Understanding of model deployment (APIs, batch/real‑time inference) is preferred.
- Data & Product Thinking: Ability to translate ambiguous business problems into data science solutions. Strong analytical thinking and hypothesis‑driven approach. Understanding of how models create value in a product context (not just offline metrics).
- Execution & Collaboration: Ability to work cross‑functionally with product, engineering, and business teams. Good communication skills—able to explain complex models in simple terms. Strong ownership and ability to iterate quickly.
Nice to Have
- Experience in influencer marketing, advertising, or creator platforms.
- Familiarity with social media data (YouTube, Twitch, TikTok ecosystems).
- Experience with embeddings, vector databases, or retrieval systems.
- Basic knowledge of data engineering or MLOps workflows.
Example Projects
- Build a creator discovery engine using embeddings + similarity search.
- Develop a content understanding pipeline (tags, sentiment, brand safety).
- Train a campaign ROI prediction model to guide budget allocation.
- Integrate LLMs to improve tool efficiency and automate workflows.
Equal Employment Opportunity at Tencent
As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Data Science Intern, Influencer Marketing AI Application employer: IMAGE FRAME INVESTMENT (UK) LIMITED
Level Infinite, as part of Tencent’s global gaming brand, is an exceptional employer that champions innovation and inclusivity within the gaming industry. Our collaborative work culture encourages creativity and growth, providing interns with hands-on experience in cutting-edge AI technologies while working alongside passionate professionals. Located in a vibrant tech hub, we offer unique opportunities for personal and professional development, ensuring that every team member can thrive and contribute to meaningful projects that impact gamers worldwide.
Contact Details:
IMAGE FRAME INVESTMENT (UK) LIMITED Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Intern, Influencer Marketing AI Application
✨Tip Number 1
Network like a pro! Reach out to people in the gaming and data science communities on LinkedIn or Twitter. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and influencer marketing. Use platforms like GitHub to share your code and document your thought process. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the gaming industry. Practice common data science interview questions and be ready to discuss how your experience aligns with the role. Remember, it’s not just about what you know, but how you communicate it!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Tailor your application to highlight your passion for gaming and data science, and don’t forget to mention any relevant projects or experiences that align with the job description.
We think you need these skills to ace Data Science Intern, Influencer Marketing AI Application
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Data Science Intern. Highlight relevant skills like machine learning, Python proficiency, and any experience with data processing. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about influencer marketing and how your skills can contribute to our team. Keep it engaging and personal – we love seeing your personality!
Showcase Your Projects:If you've worked on any projects related to AI or data science, make sure to mention them! Whether it's a personal project or something from your studies, we want to see how you apply your knowledge in real-world scenarios.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and submit your materials!
How to prepare for a job interview at IMAGE FRAME INVESTMENT (UK) LIMITED
✨Know Your Data Science Basics
Make sure you brush up on your machine learning fundamentals and statistics. Be ready to discuss how you would approach building models for influencer marketing, as well as your experience with Python and libraries like PyTorch or scikit-learn.
✨Show Your Passion for Gaming
Since the role is with a gaming brand, it’s crucial to demonstrate your understanding of gaming ecosystems and player dynamics. Share your thoughts on current trends in gaming and how they relate to data science.
✨Prepare Real-World Examples
Think of specific projects or experiences where you've applied data science to solve problems. Be ready to explain your thought process, the challenges you faced, and how you iterated on your models based on feedback.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. You’ll need to collaborate with product managers and engineers, so being able to communicate your ideas effectively will be key to your success in the interview.