Sweden Job Openings
KAMBI
ML/Quant Engineer - Sports Betting AI
Stockholm
November 20, 2024
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.
Welcome to Tzeract! We’re a startup of 20+ engineers within Kambi Group, revolutionizing sports betting with AI, advanced analytics and real-time data. Our small, hybrid, agile team is creating innovative technology that powers next-generation betting experiences. With the backing of Kambi’s global resources, we’ll offer the opportunity to work on complex mathematical projects that scale across international markets. Get to know us better at www.tzeract.com.
Role overview
Do you get excited about math and statistics? In this role, you’ll be key to developing and refining the models that drive our AI-powered odds compiling. Your work will involve using machine learning and simulations to analyze sports data. You’ll also contribute to creating reliable, well-structured code and ensuring systems are optimized for performance.
Do you have to be a sports fanatic? Of course not. As part of a team that collaborates closely with data engineers and scientists, you’ll apply your mathematical expertise to enhance algorithms and share ideas for improvements. This role offers a mix of support and autonomy, requiring curiosity and initiative to solve complex problems.
What you’ll do:
- Collaborate with the engineering team to integrate algorithms into our production systems, ensuring they operate efficiently at scale.
- Design, develop, and implement advanced mathematical models and machine learning algorithms for predictive analytics in sports betting.
- Conduct statistical analysis to understand data patterns, validate models, and enhance accuracy.
- Work with large-scale, real-time, and historical sports data sets, applying quantitative techniques to extract actionable insights.
- Communicate complex quantitative analyses and concepts to non-technical team members to inform strategy decisions.
- Master's in Mathematics, Statistics, Computer Science, Physics, Engineering, or a related quantitative field.
- Experience in mathematical/statistical modeling and machine learning.
- Proficiency in Python, with experience in libraries like Num Py and Pandas.
- Familiarity with Tensor Flow, Py Torch, Sci Py, or similar machine learning frameworks.
- Ability to describe reality through mathematics and implement solutions into practical applications.
- Able to multitask different roles—whether it's tackling complex math problems or contributing to development tasks.
- Ph D in Mathematics, Statistics, Computer Science, Physics, Engineering, or a related field.
- Open-source projects in ML or simulation, especially if relevant to the role's focus areas.
If you require any reasonable adjustment during the recruitment process, please notify your recruiter, who will assist you however they can. Diversity and inclusion is at the heart of who we are and who we aim to be. While we are proud of the positive and inclusive company culture we have created, we know we can do so much more. Kambi constantly evolves its Diversity and Inclusion strategy to ensure it becomes an even more inclusive and positive place to work, with the core management team reaffirming its commitment to delivering on employee feedback.
Creating an inclusive environment
We believe Kambi's greatest strength is the collective talent of our employees. Kambi is committed to ensuring we create an inclusive work environment where everyone can feel valued, thrive and achieve their potential, regardless of who they are or what their background is. We know that it is only by having a balance of different voices, values and opinions that Kambi is able to be the market leader it is today.
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