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Kambi Group plc is a leading B2B provider of premium sports betting services to licensed gaming operators. Our services provide an end-to-end solution for operators wanting to launch a standalone Sportsbook or bolster their existing offering with an innovative sports betting product. From front-end user interface to customer intelligence, risk management and odds compiling, all built on our in-house developed software, we strive to deliver the ultimate service and solution to our partners.
Our vision is to create the world’s leading sports betting experiences, together with our partners.
With offices in Malta (HQ), Bucharest, London, Manila, Sydney and Stockholm and together with over 600 passionate and highly skilled people; Kambi live and breathe sports betting. It is in everything we do. From delivering a premium service to our operators, to creating an entertaining experience for the end user; we are unwavering in our mission to create the worlds leading sports betting experience.
We are searching for a motivated self-starter to join our Data Science Team. For the right candidate, the position will provide the opportunity to research and develop best-of-breed solution supporting our B2B Sportsbook operations. You will join a team based in central Stockholm and will report to the Head of Data Science. You will be working as an agile software engineer and quantitative researcher in a Linux environment, to build and refine Kambi's Business Intelligence solutions.
Responsibilities:
• Collaborate with stakeholders throughout the organization to identify opportunities for leveraging company’s data to deliver business solutions
• Research and develop statistical learning models for data analysis
• Keep up-to-date with latest technology trends
• Communicate results and ideas to stakeholders
Skills and experience:
• An academic degree in quantitative discipline (computer science, mathematics, physics, etc.)
• Previous experience in a similar role applying statistical, machine learning, or algorithmic solutions to business problems
• Advanced knowledge of SQL
• Experience with distributed data/computing tools: map reduce, Hadoop, Hive, and Spark
• Experience using statistical computer languages (R, Python) to manipulate data and draw insights from large and complex data sets
• Fluency in English is essential
The successful candidate has:
• Interest and experience of sports betting
• Creative and experimental mind-set to data mining
• Strong problem solving skills with an emphasis on product development
• A drive to promote innovative algorithmic solutions and data driven decision making
• Strong interpersonal skills and the ability to communicate to both business and technical minded colleagues
• Ability to work on multiple tasks and prioritize own time
What’s in it for you?
• Opportunity to work in a successful and fast-growing company
• A role within an expanding, ambitious department
• Personal development support
• A fun and flexible working culture
The position is located in Stockholm, and will involve some travel to our London office.
If you want to be part of a very dedicated community in central Stockholm, please apply with your CV and cover letter.
Candidates must be available for in-person interviews in Stockholm.