At a Glance
- Tasks: Develop AI models for influencer marketing and optimise campaign performance.
- Company: Join Level Infinite, Tencent’s global gaming brand, dedicated to innovative gaming experiences.
- Benefits: Gain hands-on experience in a dynamic environment with potential for growth.
- Why this job: Make an impact by turning data into actionable insights in the gaming industry.
- Qualifications: Strong foundation in machine learning, Python proficiency, and analytical skills.
- Other info: Collaborate with cross-functional teams and work on exciting projects in influencer marketing.
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. This 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.
- Applied AI & Model Development
- Develop and deploy machine learning / AI models to enhance platform capabilities.
- Work on use cases such as:
- Creator segmentation and recommendation.
- Creator Content labeling and data analysis.
- Campaign performance prediction and optimization.
- Agentic Systems Developing.
- 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.
Who We Look For
- Core Values
- Integrity – You prioritize correctness, transparency, and responsible use of data.
- Gamer Native – You understand gaming ecosystems and player/content dynamics.
- Pop Culture Fluent – You are familiar with creators, platforms, and digital trends.
- Tech-Savvy – You are curious and hands-on with emerging AI technologies.
- Technical Skills
- Strong foundation in machine learning and statistics.
- Proficiency in Python and common ML libraries (e.g., PyTorch, scikit-learn).
- Experience with data processing (e.g., 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 (e.g., YouTube, Twitch, TikTok ecosystems).
- Experience with embeddings, vector databases, or retrieval systems.
- Basic knowledge of data engineering or MLOps workflows.
Example Projects You Might Work On
- 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: Tencent
Contact Detail:
Tencent Recruiting 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 and participate in discussions to get your name out there and show your passion for the industry.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Make sure you can talk confidently about machine learning concepts, Python, and any relevant projects you've worked on. Practice explaining complex ideas in simple terms—this will impress interviewers!
✨Tip Number 3
Showcase your work! Create a portfolio of your projects, especially those related to influencer marketing or AI. This could be anything from GitHub repositories to blog posts explaining your thought process. It’s a great way to demonstrate your skills and creativity.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Level Infinite.
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 Data Science Intern role. Highlight relevant skills like machine learning, Python proficiency, and any experience with data processing. We want to see how your background aligns with what we're looking for!
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 come through!
Showcase Your Projects: If you've worked on any projects related to AI, machine learning, or data analysis, make sure to mention them. We’re interested in real-world applications, so share what you did, the tools you used, and the impact of your work.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re genuinely interested in joining our team at Level Infinite!
How to prepare for a job interview at Tencent
✨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 problems like creator segmentation or campaign performance prediction. Having a solid grasp of Python and relevant libraries will definitely give you an edge.
✨Showcase Your Problem-Solving Skills
Prepare to explain how you would translate business challenges into data science solutions. Think about past experiences where you framed a problem, designed experiments, and iterated on models based on feedback. This will demonstrate your analytical thinking and ability to create value.
✨Familiarise Yourself with the Gaming Ecosystem
Since Level Infinite is all about gaming, it’s crucial to understand the gaming landscape and influencer marketing dynamics. Brush up on current trends in gaming and social media platforms like YouTube and TikTok, as this knowledge will help you connect better during the interview.
✨Communicate Clearly and Collaboratively
Practice explaining complex concepts in simple terms. You’ll likely be working cross-functionally, so showcasing your communication skills and ability to collaborate with product managers and engineers will be key. Be prepared to discuss how you would integrate models into a platform effectively.