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 access to online learning platforms.
- Other info: Be part of a team committed to safer gambling and player protection.
- 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 experience in data analysis and predictive modelling.
The predicted salary is between 50000 - 60000 £ 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.
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: additional10 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-LjbffrExperienced CRM Data Scientist CRM Data Science · UK · Hybrid Remote in London employer: EveryMatrix Ltd
EveryMatrix is an exceptional employer that prioritises both innovation and employee well-being, offering a hybrid work model that promotes work-life balance. With generous benefits such as 25 days of annual leave, additional sick leave, and extensive support for new parents, we foster a culture of growth and inclusivity. Join our dynamic team in London and be part of a pioneering journey in the iGaming industry, where your contributions will directly impact our cutting-edge CRM initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Experienced CRM Data Scientist CRM Data Science · UK · Hybrid Remote in London
✨Tip Number 1
Familiarise yourself with the iGaming industry and its trends. Understanding the specific challenges and opportunities within this sector will help you tailor your insights and demonstrate your passion for the role during interviews.
✨Tip Number 2
Network with professionals in the CRM and data science fields, especially those who have experience in the gambling industry. Attend relevant meetups or webinars to make connections that could lead to referrals or insider information about the company.
✨Tip Number 3
Showcase your technical skills by working on personal projects or contributing to open-source initiatives related to data analysis and machine learning. This not only enhances your portfolio but also demonstrates your commitment to continuous learning.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data to drive business decisions in previous roles. Be ready to explain your thought process and the impact of your work, as this will highlight your problem-solving abilities and analytical mindset.
We think you need these skills to ace Experienced CRM Data Scientist CRM Data Science · UK · Hybrid Remote in London
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:In your cover letter, express your passion for data science and the iGaming industry. Mention specific projects or experiences that align with the responsibilities of the role, particularly those involving customer behaviour analysis and predictive modelling.
Showcase Your Skills:Include examples of your proficiency in statistical analysis and machine learning techniques. If you have experience with A/B testing or Bayesian statistics, be sure to highlight these skills, as they are particularly relevant to the position.
Prepare for Technical Questions:Anticipate technical questions related to data analysis and CRM strategies during the interview process. Be ready to discuss your previous projects and how you applied your skills to solve real-world problems, especially in the context of customer engagement.
How to prepare for a job interview at EveryMatrix Ltd
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python or R, as well as your experience with SQL. Be prepared to discuss specific projects where you've applied statistical analysis and predictive modelling techniques.
✨Demonstrate Your Problem-Solving Abilities
Prepare examples of how you've tackled complex data challenges in the past. Discuss your approach to hypothesis testing and how you derived insights from large datasets, especially in a CRM context.
✨Communicate Clearly
Since you'll need to present findings to non-technical stakeholders, practice explaining complex concepts in simple terms. Use visuals if possible to illustrate your points and make your insights more accessible.
✨Familiarise Yourself with the iGaming Industry
Research the latest trends and challenges in the iGaming sector. Understanding customer behaviour in this space will help you tailor your responses and demonstrate your genuine interest in the role.
