Senior CRM Data Scientist

ZipRecruiter; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading gambling provider in London is seeking a CRM Data Scientist to analyze large datasets and develop predictive models that inform customer engagement. This role requires expertise in statistical analysis and data science tools like Python or R. The ideal candidate will be skilled in presenting complex insights to stakeholders and driving analytics projects from conception to delivery.

Qualifications

• Proven experience in large-scale data analysis and hypothesis testing.
• Strong proficiency in statistical analysis and predictive modeling.
• Willingness to take ownership of analytics projects.

Responsibilities

• Analyze large datasets to uncover patterns and insights related to customer behavior.
• Develop predictive models to forecast customer activities and trends.
• Communicate findings and recommendations to stakeholders.

Skills

Statistical analysis

Predictive modeling

Problem-solving

Communication

Education

Master's or PhD degree in a quantitative field

Tools

Python

R

SQL

Job description

Job Description

BettingJobs is currently recruiting for CRM Data Scientist for a leading gambling provider based in London.

Key Responsibilities:

• Analyze 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).
• Utilize machine learning techniques to optimize CRM strategies, especially related to automated campaign optimization.
• Communicate findings and recommendations to stakeholders in a clear and concise manner.

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 modeling.
• 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.