
501 - 1000 employees
Founded 2008
🤝 B2B
🎮 Gaming
B2B • Gaming
EveryMatrix is a leading B2B provider of iGaming solutions, catering to gaming operators worldwide. The company offers a comprehensive suite of modular and API-driven products that enable clients to integrate gaming solutions into their platforms and deliver exceptional player experiences in regulated markets. Its product lineup includes CasinoEngine, a casino integration platform; OddsMatrix, a sports betting solution; GamMatrix, a gaming management platform; and PartnerMatrix, an affiliate platform. EveryMatrix is licensed in multiple jurisdictions and is committed to helping operators expand into new markets by adapting to regional regulatory requirements. The company is known for its strong emphasis on flexibility, creativity, and innovation in gaming technology.
🕒 April 1
Improve your chances of getting an interview by checking your resume score before you apply.

501 - 1000 employees
Founded 2008
🤝 B2B
🎮 Gaming
B2B • Gaming
EveryMatrix is a leading B2B provider of iGaming solutions, catering to gaming operators worldwide. The company offers a comprehensive suite of modular and API-driven products that enable clients to integrate gaming solutions into their platforms and deliver exceptional player experiences in regulated markets. Its product lineup includes CasinoEngine, a casino integration platform; OddsMatrix, a sports betting solution; GamMatrix, a gaming management platform; and PartnerMatrix, an affiliate platform. EveryMatrix is licensed in multiple jurisdictions and is committed to helping operators expand into new markets by adapting to regional regulatory requirements. The company is known for its strong emphasis on flexibility, creativity, and innovation in gaming technology.
• 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.
• 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.
• 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. • Gym allowance. • Private Healthcare • 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. • 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.
Apply Now🕒 March 31
1001 - 5000
🏦 Banking
💳 Fintech
👥 B2C
Lead Data Scientist at Monzo enhancing user engagement and data practices. Collaborating with teams to drive the bank's future innovations while managing data strategy.
🏢🏡 London – Hybrid
💵 £95k - £130k / year
⏰ Full Time
🟠 Senior
📊 Data Scientist
🇬🇧 UK Skilled Worker Visa Sponsor
🕒 March 31
201 - 500
💸 Finance
🤝 B2B
IT Data Manager overseeing the design and implementation of data governance at Marco Capital. Leading cloud migration strategies and ensuring regulatory compliance in data practices.
🕒 March 31
51 - 200
🎮 Gaming
🎲 Gambling
Mid-level Data Scientist developing AI and MLOps systems at Push Gaming. Collaborating on data-driven solutions for game design and commercial performance.
🕒 March 30
201 - 500
Consultant in Data Science & Marketing Effectiveness at Ekimetrics delivering high-quality analytics solutions. Collaborating with international clients across various industries to drive marketing effectiveness and customer analytics.
🏢🏡 London – Hybrid
💵 £40k - £55k / year
💰 Venture Round on 2020-11
⏰ Full Time
🟢 Junior
🟡 Mid-level
📊 Data Scientist
🇬🇧 UK Skilled Worker Visa Sponsor
🕒 March 28
51 - 200
💸 Finance
💳 Fintech
👥 B2C
Data Scientist developing credit risk models for Lendable, a leading fintech company. Leveraging machine learning techniques and rich data repository to enhance underwriting and pricing decisions.