Senior CRM Data Scientist

JR United Kingdom; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading gambling provider in London seeks a CRM Data Scientist to analyze customer data and develop predictive models. The role involves collaborating with teams to implement data-driven strategies and communicate insights effectively. Candidates should possess a Master's or PhD in a quantitative field and have proven experience with statistical analysis, machine learning, and strong communication skills.

Qualifications

• Experience in large-scale data analysis and hypothesis testing.
• Proficiency in statistical analysis and predictive modeling.
• Ability to present complex data insights clearly.

Responsibilities

• Analyze large datasets to uncover patterns and insights.
• Develop predictive models to forecast customer activities.
• Utilize machine learning techniques to optimize CRM strategies.

Skills

Statistical analysis

Predictive modeling

Data analysis

Machine learning

Problem-solving

Education

Master's or PhD degree in a quantitative field

Tools

Python

R

SQL

Job description

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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.