Full-timeRemote
Data Scientist
You will work hands-on with data — exploring, cleaning, modelling, and evaluating — across a range of client projects. This is a great role for someone who wants to deepen their applied ML skills on real, varied business problems with a supportive senior team around them.
What you'll do
- Perform exploratory data analysis and feature engineering across diverse datasets
- Build, evaluate, and iterate on ML models under the guidance of senior scientists
- Support the deployment and monitoring of models in production environments
- Write clean, reproducible code and document your analysis and modelling decisions
- Communicate findings clearly to internal teams and clients
What we're looking for
- 2+ years of data science or ML engineering experience (internships count)
- Solid Python skills and experience with core ML libraries (scikit-learn, pandas, numpy)
- Understanding of supervised and unsupervised learning fundamentals
- Experience with data wrangling, visualisation, and statistical analysis
- Strong communication skills and a curiosity-driven approach to problem solving
Nice to have
- Exposure to LLMs, embeddings, or AI agents
- Experience with SQL, dbt, or similar data pipeline tooling
- Academic or project background in forecasting, NLP, or recommendation systems