🎯 Why this role matters
You’ll join Prediko’s tech and data team to build the bridge between time series forecasting models and LLM-based reasoning.
The goal: create the next-generation Planning & Forecasting 2.0 experience, where AI acts as a proactive, contextual assistant inside our SaaS platform.
You’ll be working on one of our most exciting product initiatives — connecting quantitative forecasting models with natural language understanding and generative AI to turn data into insights and decision support.
🔍 What You’ll Work On
- Explore and prototype integrations between time series forecasting models (Prophet, XGBoost, NeuralForecast, etc.) and LLMs / GenAI APIs (OpenAI, Anthropic, Mistral, etc.)
- Design and test prompts, reasoning chains, and AI agents to interpret and explain forecasts
- Build interactive user experiences (what-if scenarios, intelligent summaries, conversational forecasting)
- Evaluate the accuracy, interpretability, and reliability of hybrid forecasting + LLM systems
- Collaborate with the product and data teams to turn prototypes into production features
đź§© You Are
- A final-year student in AI, Data Science, or Engineering
- Experienced with Python, pandas, and data visualization libraries (Plotly, Matplotlib, etc.)
- Familiar with database querying and manipulation (SQL or similar)
- Curious about forecasting models and machine learning fundamentals
- (Nice to have) Experience using or experimenting with LLM APIs (OpenAI, Anthropic, etc.)
- Autonomous, creative, and eager to turn ideas into working prototypes
⚙️ Tech Stack You’ll Touch
Python · pandas · LangChain · OpenAI API · Plotly
🌍 Why Join Prediko