National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Experienced CRM Data Scientist

ZipRecruiter
London
1 day ago
Create job alert

Job Description

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.
But that's not all! We're not just about numbers, we're about people. With a team of over 1400 passionate individuals spread across fifteen offices in Europe and Asia, we're all united by our love for innovation and teamwork.

Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time.

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!
EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.


#J-18808-Ljbffr

Related Jobs

View all jobs

Experienced CRM Data Scientist

Senior CRM Data Scientist

Senior Data Scientist - Consumer Behaviour – exciting ‘scale up’ proposition

Data Scientist...

Lead Data Scientist

Information Management and GDPR Lead

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.