Data Scientist – Europe, Asia

🕒 June 29

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sporty Group

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

📱 Media

🎮 Gaming

🎲 Gambling

Media • Gaming • Gambling

Sporty Group is a global sports, technology and entertainment company that builds large-scale products including live sports experiences, streaming media, interactive gaming, and integrated sports betting platforms. The group operates remote-first across multiple continents with flagship offerings such as SportyTV (a free live sports and entertainment streaming platform), Sporty. com (sports app with news, scores, streams, and odds), Sporty Studios (video and content production), and Sporty Interactive (video games and SportyBet sportsbook). Sporty focuses on user experience, technology-driven innovation, and scaling digital products for millions of users worldwide.

📋 Description

• Utilize advanced algorithms and data mining techniques to build personalized recommendation systems, optimizing product and service recommendations to enhance user experience and improve business conversion rates. • Develop and productionize ML/AI systems across multiple domains — including search ranking, recommendation, and content intelligence — that directly impact user growth and business outcomes.

🎯 Requirements

• Hands-on experience applying statistical and ML models to real business problems, with measurable impact on revenue or key business outcomes • Advanced understanding of Python and the quantitative analysis ecosystem in Python • Strong foundation in probability theory, statistics, machine learning, and linear algebra • 2+ years of experience as a data scientist, quantitative researcher, quantitative analyst, or another relevant role • Knowledge of SQL and experience with relational databases • Proficient with AI tools and agents as part of daily development workflow; this role regularly leverages AI-assisted development to accelerate delivery • Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology, or Engineering • Project and stakeholder management experience is preferred

🏖️ Benefits

• Sporty is a remote first company in pursuit of sustainability • A competitive salary + individual performance based bonuses every quarter • 28 days paid annual leave • Our core working hours are 10am-3pm in your local time zone with flexibility outside of this • Referral bonuses & flash bonuses • Top of the line equipment • Annual company retreats to provide great internal networking opportunities