Analyse large datasets to uncover patterns and insights related to customer behavior.
Develop predictive models to forecast customer activities and trends.
Collaborate with cross-functional teams to implement data-driven strategies.
Define and track key performance indicators (KPIs).
Utilise machine learning techniques to optimize CRM strategies, especially related to automated campaign optimisation.
Communicate findings and recommendations to stakeholders in a clear and concise manner.

Master's or PhD degree in a quantitative field.
Proven experience of large-scale data analysis and hypothesis testing.
Strong proficiency in statistical analysis and predictive modelling.
Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse / data.table), along with SQL.
Excellent problem-solving skills and attention to detail.
Strong communication skills with the ability to present complex data insights to non-technical stakeholders.
Willingness to take ownership of analytics projects and be the engine driving them from ideation phase till bringing out the product to customers, and beyond.

2 additional days of paid leave added each year until your fifth year with us.
Hybrid work schedule is available after the first three months of employment.
Monthly meal allowance.
Gym allowance.
Private Healthcare
Access online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training.
Benefit from two Free Fridays each year, limited to one per quarter.
Support for New Parents:
52 weeks of maternity leave, with 21 weeks being fully paid
4 weeks of paternity leave, plus the flexibility to work from home full-time until your child is 13 weeks old.

Data Scientist

Key skills