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Data Scientist at EveryMatrix
EveryMatrix Всі вакансії (69)
Деталі
Дата публікації
April 2, 2026
Локація
London
Кар'єрний рівень
-
Освіта
Bachelor
Досвід
1-2 роки
ABOUT THE PROJECT
EveryMatrix is seeking a highly skilled Data Scientist with expertise in CRM and customer behaviour analysis to join our CRM Data Science team. You will play a crucial role in analysing customer behaviour on our gambling platforms, providing insights and building features that will drive our business strategies and enhance customer engagement.
REQUIREMENTS
– 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.
– 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.
RESPONSIBILITIES
– 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.
– 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.
WHAT WE OFFER
– 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.
– 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.
COMPENSATION & BENEFITS
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