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- Tasks: Analyse customer behaviour and develop predictive models to enhance engagement.
- Company: Join EveryMatrix, a leader in the iGaming industry committed to safer gambling.
- Benefits: Enjoy hybrid work, extra paid leave, and access to online learning platforms.
- Why this job: Make a real impact by driving data-driven strategies in a dynamic environment.
- Qualifications: Master's or PhD in a quantitative field with strong data analysis skills.
- Other info: Be part of a supportive workplace that values personal and professional growth.
The predicted salary is between 50000 - 70000 £ per year.
EveryMatrix is seeking a highly skilled Data Scientist with expertise in CRM and customer behaviour analysis to join our CRM Data Science team. You will play a crucial role in analysing customer behaviour on our gambling platforms, providing insights and building features that will drive our business strategies and enhance customer engagement.
Key Responsibilities:
- Analyse 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).
- Utilise machine learning techniques to optimize CRM strategies, especially related to automated campaign optimisation.
- 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 modelling.
- 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.
What we offer:
- 2 additional days of paid leave added each year until your fifth year with us.
- Hybrid work schedule is available after the first three months of employment.
- Monthly meal allowance.
- Access online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training.
- Benefit from two Free Fridays each year, limited to one per quarter.
- 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!
Data Scientist employer: EveryMatrix
Contact Detail:
EveryMatrix Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already at EveryMatrix. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to customer behaviour. This will help you stand out and demonstrate your expertise in a tangible way.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data insights in simple terms, as you'll need to impress both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining the EveryMatrix team.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with CRM and customer behaviour analysis, and don’t forget to showcase your skills in Python or R. We want to see how your background aligns with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our CRM Data Science team. Be sure to mention any relevant projects or experiences that demonstrate your expertise.
Showcase Your Analytical Skills: In your application, include examples of how you've analysed large datasets and developed predictive models. We love seeing real-world applications of your skills, so don’t hold back on sharing your successes!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at EveryMatrix
✨Know Your Data Tools
Make sure you're well-versed in Python or R, especially with libraries like pandas and scikit-learn. Brush up on SQL too, as you'll likely be asked to demonstrate your ability to manipulate and analyse large datasets during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data problems. Think about how you defined KPIs or developed predictive models in past projects, and be ready to explain your thought process clearly.
✨Communicate Like a Pro
Since you'll need to present findings to non-technical stakeholders, practice explaining your insights in simple terms. Use visuals if possible, and be prepared to answer questions about your analysis and recommendations.
✨Understand the Gambling Industry
Familiarise yourself with customer behaviour in the gambling sector. If you have experience in this area, be ready to share relevant insights or case studies that highlight your understanding of CRM data analysis and customer segmentation.