Experienced CRM Data Scientist (City of London)
Experienced CRM Data Scientist (City of London)

Experienced CRM Data Scientist (City of London)

London Full-Time 50000 - 70000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join us as a CRM Data Scientist to analyse customer behaviour and drive business strategies.
  • Company: EveryMatrix is a leading B2B SaaS provider in the iGaming industry, passionate about innovation.
  • Benefits: Enjoy 25 days annual leave, hybrid work options, and perks like meal and gym allowances.
  • Why this job: Make a real impact on our new CRM platform while working in a supportive, inclusive culture.
  • Qualifications: Master's or PhD in a quantitative field with strong data analysis and Python or R skills required.
  • Other info: Be part of a team committed to safer gambling and player protection.

The predicted salary is between 50000 - 70000 £ per year.

EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide. We are looking for an Experienced CRM Data Scientist to join our team in London!

Salary Range: £60,000 - £70,000 annually, based on experience and qualifications.

About the job:

We are seeking a highly skilled Data Scientist with expertise in CRM and customer behavior analysis to join our newly founded CRM Data Science team. You will play a crucial role in analyzing customer behavior on our gambling platforms, providing insights and building features that will drive our business strategies and enhance customer engagement. We are building a new real-time CRM platform, and this is a great chance to have a profound impact on the project.

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.

What will make you stand out:

  • Experience working in an analytics role in the gambling industry.
  • Experience with CRM data analysis and customer segmentation.
  • Knowledge of tensorflow / pytorch.
  • Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery.
  • Experience in design and evaluation of A/B tests.
  • Familiarity with Bayesian statistics, especially for hypothesis testing.
  • Extra points for good knowledge of Bayesian programming (PyMC3, etc).
  • Experience with application of optimization theory or reinforcement learning based on automated A/B testing.

Projects you might expect to work on:

  • Predicting future expected value and future potential value of individual customers.
  • Real-time prediction of customer churn.
  • Building multi-level customer segmentation driven by predictive models.

Here's what we offer:

  • Start with 25 days of annual leave, with 2 additional days added each year, up to 35 days by your fifth year with us.
  • Stay Healthy: additional 10 sick leave days per year, no doctor's note required.
  • Hybrid work schedule: 60% work from the office and 40% work from home per quarter (during your first 3 months, you'll be in the office full-time).

Benefits & Perks:

  • Monthly meal allowance.
  • Gym allowance.
  • Access online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training.
  • 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.

At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!

Experienced CRM Data Scientist (City of London) employer: EveryMatrix

EveryMatrix is an exceptional employer that fosters a culture of innovation and teamwork, making it an ideal place for an Experienced CRM Data Scientist to thrive. With a commitment to employee growth through access to online learning platforms and generous leave policies, including 35 days of annual leave by your fifth year, EveryMatrix ensures a supportive work environment in the vibrant City of London. Join us to make a meaningful impact on the iGaming landscape while enjoying a hybrid work schedule and comprehensive benefits.
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Contact Detail:

EveryMatrix Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Experienced CRM Data Scientist (City of London)

✨Tip Number 1

Familiarise yourself with the iGaming industry and its trends. Understanding the specific challenges and opportunities in this sector will help you demonstrate your knowledge during interviews and show how you can contribute to EveryMatrix's goals.

✨Tip Number 2

Network with professionals in the CRM and data science fields, especially those with experience in the gambling industry. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the company culture at EveryMatrix.

✨Tip Number 3

Prepare to discuss your experience with predictive modelling and customer behaviour analysis in detail. Be ready to share specific examples of how your work has driven business strategies or improved customer engagement in previous roles.

✨Tip Number 4

Brush up on your technical skills, particularly in Python, SQL, and machine learning techniques. Being able to demonstrate your proficiency in these areas during technical discussions will set you apart from other candidates.

We think you need these skills to ace Experienced CRM Data Scientist (City of London)

Data Analysis
Predictive Modelling
Statistical Analysis
Machine Learning Techniques
Python (pandas, scipy, numpy, scikit-learn)
R (tidyverse / data.table)
SQL
Attention to Detail
Problem-Solving Skills
Communication Skills
Customer Behaviour Analysis
CRM Data Analysis
Data Visualisation Tools (e.g., Google Looker)
Google BigQuery
A/B Testing Design and Evaluation
Bayesian Statistics
Optimization Theory
Reinforcement Learning

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, CRM, and any specific tools mentioned in the job description, such as Python or R. Use keywords from the job listing to ensure your application stands out.

Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also demonstrates your passion for the iGaming industry. Mention specific projects or experiences that relate to customer behaviour analysis and predictive modelling.

Showcase Your Technical Skills: In your application, clearly list your technical skills, especially those related to statistical analysis, machine learning, and data visualisation tools. Provide examples of how you've used these skills in previous roles.

Prepare for Potential Assessments: Be ready for possible technical assessments or case studies during the interview process. Brush up on your data analysis techniques and be prepared to discuss how you would approach real-world problems related to customer behaviour.

How to prepare for a job interview at EveryMatrix

✨Showcase Your Technical Skills

Make sure to highlight your proficiency in Python or R, especially with libraries like pandas and scikit-learn. Be prepared to discuss specific projects where you've applied these skills to analyse large datasets or develop predictive models.

✨Demonstrate Your Problem-Solving Abilities

Prepare examples that showcase your problem-solving skills, particularly in the context of CRM data analysis. Discuss how you've tackled complex challenges and the impact of your solutions on previous projects.

✨Communicate Clearly

Since you'll need to present complex data insights to non-technical stakeholders, practice explaining your findings in a clear and concise manner. Use simple language and avoid jargon to ensure everyone understands your insights.

✨Familiarise Yourself with the iGaming Industry

Research the iGaming landscape and understand the key trends and challenges. Being knowledgeable about the industry will help you relate your experience to the role and demonstrate your genuine interest in the company.

Experienced CRM Data Scientist (City of London)
EveryMatrix
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  • Experienced CRM Data Scientist (City of London)

    London
    Full-Time
    50000 - 70000 £ / year (est.)

    Application deadline: 2027-06-26

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    EveryMatrix

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