Experienced CRM Data Scientist

EveryMatrix Ltd
London
9 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

AI Platform Engineer (DevOps / MLOps Focus)

Lead Data Scientist - Remote

Lead Data Scientist - Remote

Senior Data Scientist

Data Scientist

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 200 customers worldwide.
But that's not all! We're not just about numbers, we're about people. With a team of over 1000 passionate individuals spread across twelve countries in Europe, Asia, and the US, 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 drive them from ideation phase to product delivery.
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.
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:
25 days of annual leave.
5 days of sick leave.
Access to learning resources (Udemy, LinkedIn, O’Reilly).
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!

#J-18808-Ljbffr

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.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.