Data Scientist / Data Engineer

What we're looking for

• Python skills with Polars and/or Pandas

• NLP and fine-tuning lightweight ML models

• Scala and Spark experience for data engineering tracks

• Designing, building, and evaluating data pipelines

• Familiarity with agent frameworks — LangGraph

• Ability to adapt and evaluate ML systems across different locales and

data domains

• Pipeline orchestration and optimisation experience for large-scale,

multi-source ingestion

Example of work tasks

• Build Spark pipelines to fetch web content using fine-tuned lightweight

ML models

• Fine-tune ML models from base models to perform task-specific

attribute extraction; build training data, manage quality, and evaluate

performance end-to-end and at component level

• Expand an internal AI research agent to new geographic markets,

adapting logic and evaluating performance per locale; add support for

new place attributes including evidence collection and reasoning logic