Key skills
PythonPyTorchScikit-LearnSparkSQLAIMachine LearningMLscikit-learnVersion ControlA/B TestingCommunication
About this role
Role Overview
- Build data-powered solutions forming part of our product
- Define and execute data science experiments
- Create PoC and move them to production with support from ML and Data Engineers
- Conduct exploratory data analysis
- Perform feature engineering
- Engage in time series forecasting
- Develop, deploy, and monitor models
- Conduct A/B testing
- Communicate findings and mine data for insights
- Influence organisational strategies based on insights
Requirements
- Strong statistical and machine learning knowledge
- Use AI tools for coding and strong coding skills (clean and commented code, version control, documentation)
- Ability to develop high-performing end-to-end machine learning models (data processing, feature engineering, model training, scoring, monitoring)
- Experience with feature engineering using Python, SQL or similar tools
- Experience with machine learning using Python, Spark, PyTorch, scikit-learn or similar languages and libraries
- Abilities to create powerful visualisations which to help communication of data science insights and results to business stakeholders
- Juniors are welcome to apply
- we value curiosity, a strong learning mindset and solid fundamentals over years of experience.
Tech Stack
- Python
- PyTorch
- Scikit-Learn
- Spark
- SQL
Benefits
- 25+ days off, as well as birthday day off and 4 charity days off per year
- Flexible start and end of the working day and hybrid working mode, including a combination remote and in the office
- Team-centric atmosphere
- Encouraging healthy lifestyle and work-life balance including supplemental health insurance
- New parents bonus scheme