Required Data Science & AI Student
So, whats the role all about?
As a Data Science & AI Student, you will join one of our core product or research teams, contributing to real-world AI-driven features and intelligent systems in a modern cloud-based environment. In this role, youll gain hands-on experience with cutting-edge data science tools, machine learning frameworks, and generative AI technologies, while collaborating with experienced data scientists, engineers, and product managers to deliver impactful solutions.
How will you make an impact?
Take part in end-to-end development and deployment of AI and data science features.
Build and experiment with Generative AI and Agentic AI solutions using frameworks such as AWS Bedrock, Azure OpenAI, Anthropic, and Hugging Face.
Develop intelligent agents using frameworks like LangGraph, Crew AI, and similar agentic orchestration tools.
Write clean, maintainable code using modern data science libraries such as Python, pandas, scikit-learn, PyTorch, or TensorFlow.
Participate in daily team activities and agile ceremonies.
Learn and apply best practices in data preprocessing, model training, evaluation, and MLOps.
Collaborate with teammates to troubleshoot, debug, and optimize AI workflows and model performance.
So, whats the role all about?
As a Data Science & AI Student, you will join one of our core product or research teams, contributing to real-world AI-driven features and intelligent systems in a modern cloud-based environment. In this role, youll gain hands-on experience with cutting-edge data science tools, machine learning frameworks, and generative AI technologies, while collaborating with experienced data scientists, engineers, and product managers to deliver impactful solutions.
How will you make an impact?
Take part in end-to-end development and deployment of AI and data science features.
Build and experiment with Generative AI and Agentic AI solutions using frameworks such as AWS Bedrock, Azure OpenAI, Anthropic, and Hugging Face.
Develop intelligent agents using frameworks like LangGraph, Crew AI, and similar agentic orchestration tools.
Write clean, maintainable code using modern data science libraries such as Python, pandas, scikit-learn, PyTorch, or TensorFlow.
Participate in daily team activities and agile ceremonies.
Learn and apply best practices in data preprocessing, model training, evaluation, and MLOps.
Collaborate with teammates to troubleshoot, debug, and optimize AI workflows and model performance.
Requirements:
Currently pursuing a B.Sc. or M.Sc. in Data Science, Artificial Intelligence, Machine Learning, Computer Science, or a related field
Completed at least two years of academic studies and have 2 remaining semesters (end date Oct 2026)
Strong analytical and problem-solving skills
Fast learner with the ability to work independently and take initiative.
Solid communication skills and a team-oriented mindset.
Practical experience in Python, pandas, scikit-learn and other packages.
Experience with Generative AI, LLMs, and agentic architectures such as LangGraph, Crew AI, or similar.
You will have an advantage if you also have:
Exposure to cloud platforms such as AWS Bedrock, Azure OpenAI, Anthropic, or Hugging Face
Interest in AI productization, model interpretability, or data visualization.
Currently pursuing a B.Sc. or M.Sc. in Data Science, Artificial Intelligence, Machine Learning, Computer Science, or a related field
Completed at least two years of academic studies and have 2 remaining semesters (end date Oct 2026)
Strong analytical and problem-solving skills
Fast learner with the ability to work independently and take initiative.
Solid communication skills and a team-oriented mindset.
Practical experience in Python, pandas, scikit-learn and other packages.
Experience with Generative AI, LLMs, and agentic architectures such as LangGraph, Crew AI, or similar.
You will have an advantage if you also have:
Exposure to cloud platforms such as AWS Bedrock, Azure OpenAI, Anthropic, or Hugging Face
Interest in AI productization, model interpretability, or data visualization.
This position is open to all candidates.
