Data Science Intern
At a glance
Junior Data Science role at LIGHTSPEED (OA Huoshui Platform). Singapore-CapitaSky · full-time.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and deploy models for creator recommendations, content labeling, campaign forecasts and agent-based systems
- Turn product and business questions into testable hypotheses, then refine models using results and real-world feedback
- Prepare creator, content and campaign data with data engineers, shaping pipelines and features for model use
- Work with product and engineering to put models into the platform, including APIs and inference workflows
- Monitor model quality and business outcomes, while keeping documentation and work reproducible
What you bring
- A solid grounding in machine learning and statistics
- Working ability with Python, machine-learning libraries, data processing tools and SQL
- Skill in converting unclear business questions into analytical approaches and explaining model results clearly
Who this fits
This junior-level role suits someone who wants to apply machine learning to product features and collaborate with product, engineering and business teams. Familiarity with gaming, creators and digital culture aligns with the stated values. The role is based in Singapore.
From the employer
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.
1. 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.
2. Problem Framing & Experimentation
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.
3. Data Pipeline & Feature Engineering
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.
4. Product Integration
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.
5. Monitoring & Continuous Improvement
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.